8252 Simulation Jobs - Page 38

The Keysight Finance and Business Intelligence Initiatives and Solutions Team (FBIS) is chartered to provide finance systems solutions design and development expertise, consulting, and project management in support of the numerous Finance and Business enterprise initiatives FBIS is a very global and diverse team involved in critical project work that impacts the achievement of Keysight goals FBIS is primarily engaged in Plan of Record (POR) process management, solution benchmarking/ROI & recommendations; solutions delivery and overall project management comprising business requirements analysis, functional solution design, product development, testing and deployment The candidate should have an extensive experience in implementing / delivering solutions on Financial modules of Oracle EBS (General Ledger and Quote to Cash), Consolidation tools (such as HFM, OneStream, FAH) and any associated Boundary applications The candidate should also have experience in Business process re-engineering, mapping business processes with financial accounting flows and enabling custom solutions as needed from time to time Overall, the person should have very good grounding in GL and Q2C processes and be able to work with applications like OneStream/Hyperion/BI and other external integrated Business applications This role will also be involved on managing Finance integration activities for Mergers, Acquisitions & Divestitures (MA&D) executed by Keysight in support of the company s growth initiatives Responsibilities Analyze, solution, design, development, and deployment of ERP, EPM and BI solutions Analyze, solution, design, development, and deployment of ERP, EPM and BI solutions including related business processes and prereferral applications Lead the Finance project team in defining & executing strategies for effective project implementation, process integration, data migration and systems changeover / deployment which covers all phases of project life cycle Develop & execute the financial systems deployment plan which includes enabling ERP setups, boundary applications & reporting systems to achieve a given project objective Provide ERP and process expertise and consultancy to Operations to achieve next level process optimization Ensure effective management of change associated with ERP financial process changes - including enhancements, fixes, and documentation Enable cross functional coordination to align Finance plan & activities with cross functional tracks Ensure integration of solutions throughout the key business flow with an end-to-end solution The Finance Project Manager will be responsible to partner closely with various Finance Operations, Information Technology and Business functions throughout the project lifecycle Measures of Success Increase customer satisfaction: Effective, efficient Customer consulting by identifying and recommending the innovation/improvement ideas for solutions Increase speed to opportunity: Build/increase FBIS capability, capacity & flexibility Leverage the operating model: Zero compliance issues for process and application design, signoff by sox lead and zero audit issues Accelerate growth: Complete your assigned projects on time, in scope and within resource plan, utilizing project management toolkit Qualifications Careers Privacy Statement Keysight is an Equal Opportunity Employer Educational Qualifications: A Bachelors/ master s degree or equivalent University degree preferably in Accounting or Finance Certified Accountant (CA/ICWA/CPA//CFA or equivalent) / MBA-Fin (from reputed collage) is preferable Work Experience: Atleast 6-8 years post qualification experience in ERP financial modules, primarily in Oracle ERP especially in the areas of General Ledger & Q2C and understanding of linkages of ERP with EPM packages and BI reporting tools Project management: A good understanding of Agile / Scrum framework with demonstrated experience in leading complex projects involving global project teams Communication: Excellent oral and written communication skills with ability to communicate effectively across different levels & geographies Strong Solution Engineering Skills with demonstrated ability in analyzing complex business problems, identifying and implementing solutions that fit into the overall finance system architecture Ability to work in a collaborative decision-making model with stakeholders across the company Independent, results oriented, with a hands-on attitude Ability to think strategically and tactically Proficiency in using standard desktop computer applications Analyze, solution, design, development, and deployment of ERP, EPM and BI solutions Analyze, solution, design, development, and deployment of ERP, EPM and BI solutions including related business processes and prereferral applications Lead the Finance project team in defining & executing strategies for effective project implementation, process integration, data migration and systems changeover / deployment which covers all phases of project life cycle Develop & execute the financial systems deployment plan which includes enabling ERP setups, boundary applications & reporting systems to achieve a given project objective Provide ERP and process expertise and consultancy to Operations to achieve next level process optimization Ensure effective management of change associated with ERP financial process changes - including enhancements, fixes, and documentation Enable cross functional coordination to align Finance plan & activities with cross functional tracks Ensure integration of solutions throughout the key business flow with an end-to-end solution The Finance Project Manager will be responsible to partner closely with various Finance Operations, Information Technology and Business functions throughout the project lifecycle Measures of Success Increase customer satisfaction: Effective, efficient Customer consulting by identifying and recommending the innovation/improvement ideas for solutions Increase speed to opportunity: Build/increase FBIS capability, capacity & flexibility Leverage the operating model: Zero compliance issues for process and application design, signoff by sox lead and zero audit issues Accelerate growth: Complete your assigned projects on time, in scope and within resource plan, utilizing project management toolkit

Danfoss is looking for a Senior Engineer - Mechanical to be part of the Product Engineering Center in Danfoss Drives Division and will report to the Mechanical Manager, PEC, INDI Danfoss gives you unique opportunities to put your skills to good use, make an impact and shape an exciting career- We encourage employees to take charge, do extraordinary things and run the business like it was their own- We are respected around the world and across industries for our innovative, high-quality products and solutions- Job Responsibilities Responsibilities for this position include, but are not limited to, the following- 3D design in product development projects- Creating and developing component requirements and specifications, and other technical design documents as per Danfoss standards and processes- Delivering specifications, designs, analysis, and prototypes on time- Identify and solve design and product related issues- Bring innovation for time to market reduction and within the cost targets and quality- Develop and maintain contacts with relevant manufacturing facilities globally- Comply with product development process and design standards of Danfoss- Work closely with manufacturing engineering to move products from design to manufacturing- Participate in project reviews to ensure that project deliverables are met- Support and facilitate design reviews and risk assessment activities Executes, supports, and facilitates root cause problem solving and 8D s for product failures Focus on continues improvement in quality, cost, and time to market by use of simulation, fast prototyping, and platform-based development- Validate design through simulations, test specifications and review of results Background Skills The ideal candidate possesses these skills- UG / PG Mechanical /CADCAM engineering or similar education with a technical background 8 - 10 years of experience with design of electro-mechanical products Strong knowledge of design and manufacturing processes including sheet metals, die casting and injection molding- Strong Knowledge of Design for Six Sigma, Design for Assembly, Design for Manufacturing, Design for Automation Ability to use Simulation tools and perform tolerance chain impact analysis Skills in CAD software (Unigraphix, Autodesk inventor Solid edge) and knowledge of 2D drawings Knowledge of SAP and PLM tool (PDM Link or similar) Knowledge of APQP including PPAP, FMEA and use of special characteristics Knowledge of circular economy and ability to ensure compliance to UL508C, UL61800-5-1, RoHS/Reach/PFAS Fluent and comprehensive English Innovative, Positive, and open minded Collaborative and capable to build professional networks

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

We are looking for individuals who can join us immediately for Flow Simulation. Experience: 2 to 6 yrs Qualification - BE /B.Tech /Diploma - mechanical/industrial/automotive engineering or related field Location - Chennai Skill : Tecnomatix & Plant Simulation (2-6 Years) Discrete event simulation PLANT SIMULATION throughput simulation If you are interested, please share your profile with vasudha_katta@satven.com or WhatsApp on 9908244296 Regards, Vasudha

Job Description: Analyst/ Senior Analyst – Enterprise SaaS, Lucknow A) About Mercados Energy Markets India Pvt. Ltd Mercados Energy Markets India Pvt. Ltd. (Mercados) is a specialist consultancy firm, exclusively focused on business solutions in the energy and environment domain. Having begun our operations in India in 2008 supporting clients across the energy sector, we strive to promote efficient and sustainable energy markets; design effective regulations and assist energy businesses to succeed. Our approach integrates innovative, state-of-the-art techniques with practical, tailor-made solutions to solve current energy sector challenges. We have permanent offices in New Delhi (head office), Gurgaon, Mumbai, Ahmedabad and Lucknow. Mercados has presence across the Energy Value Chain and serves Clients both in the public and private domain, with its dedicated team of over 170+ (and counting) professionals. Mercados boasts of having successfully completed 800+ assignments for its esteemed clients. Mercados operates under two broad verticals, namely ‘Management Consulting’ and ‘Enterprise SaaS’. While the Management Consulting Vertical provides leading edge Advisory solutions to generation companies with over 42 GWs of conventional and renewable energy-based capacities, distribution companies with over 54 million consumers and large industrial consumers: the Enterprise SaaS Vertical aims at offering tailor-made digital solutions, power portfolio management, generation planning and algorithmic trading solutions – “Joule OS” - to Utilities in India. Our Consulting portfolio envelopes diverse segments like ‘Strategy and Business Growth’, ‘Policy, Economic Analysis and Regulations’, ‘Planning, Energy Markets & Simulation Models’, ‘Transaction Advisory Services’, ‘Integrated Energy Supply Services’ and ‘Performance Improvement (Utility Management Services)’. B) About the Role: Assist the Project Manager in the successful execution of power sector IT projects. Information Technology Processes: Responsible for handling and managing information technology processes within power sector projects. IT Systems Management: Engaged in assignments with hands-on experience in managing and supporting IT systems. Data Analytics Application: Apply data analytics skills in relevant project assignments. Power Sector Specialization: Focus specifically on IT and data analytics within the Indian Power Sector. Team Collaboration: Work effectively as part of a team of IT Domain Experts to achieve project goals. Delivery & Timelines: Contribute to meeting go-live timelines and deliverables as outlined in project plans. Technical Expertise: Utilize strong technical background in Computer Science/Information Technology (CS/IT) or related fields. Problem Solving: Identify and resolve IT-related issues encountered during project implementation. Documentation & Reporting: Potentially involved in documenting IT processes and reporting progress to the Project Manager. Continuous Improvement: Contribute to the optimization and improvement of IT processes within the power sector. C) Detailed expectations from the role: Must have relevant experience within the last 5 years working on assignments in the Indian power sector, with demonstrated expertise in IT systems and data analytics. Proven experience in designing and developing web portals, software applications, and interactive dashboards—particularly analytics-driven dashboards—for power sector entities. Hands-on experience in managing backend systems, databases, and data pipelines that support operational and analytical dashboards. Strong understanding of IT processes, system integration, and data management practices specific to the requirements of the power sector. D) Required skill set Must have relevant experience within the last 5 years working on assignments in the Indian power sector, with demonstrated expertise in IT systems and data analytics. Proven experience in designing and developing web portals, software applications, and interactive dashboards—particularly analytics-driven dashboards—for power sector entities. Hands-on experience in managing backend systems, databases, and data pipelines that support operational and analytical dashboards. Strong understanding of IT processes, system integration, and data management practices specific to the requirements of the power sector. E) Education and Experience BCA/ MCA/B. Tech (CS/IT)/ BE (CS/IT). Atleast 5 years’ experience in assignments with experience in IT systems, dashboard management and data analytics. F) Location Base location shall be Lucknow Uttar Pradesh. G) Remuneration Structure We offer a motivation based and competitive reward package.

Description Enphase Energy is a global energy technology company and leading provider of solar, battery, and electric vehicle charging products. Founded in 2006, Enphase transformed the solar industry with our revolutionary microinverter technology, which turns sunlight into a safe, reliable, resilient, and scalable source of energy to power our lives. Today, the Enphase Energy System helps people make, use, save, and sell their own power. Enphase is also one of the fastest growing and innovative clean energy companies in the world, with approximately 80 million products installed across more than 160 countries. We are building teams that are designing , developing, and manufacturing next-generation energy technologies and our work environment is fast-paced, fun and full of exciting new projects. If you are passionate about advancing a more sustainable future, this is the perfect time to join Enphase! About the role: As a Staff Hardware Engineer , you will be part of the Product Engineering team, who are responsible for maintaining and improving existing products throughout their lifecycle, including hardware fixes, performance enhancements, and addressing obsolescence issues . E ssentially ensuring a product remains functional , meets customer needs by troubleshooting customer issues, and implementing continuous improvement strategies to optimize product performance and e nsure products remain compliant with relevant industry regulations and standard s. What you will do: Hardware design support, cost reduction proposals, Failure root-cause analysis and alternative part qualification for power electronics boards. Work in cross-functional teams of hardware, firmware, test automation and mechanical engineers Passionate in field quality improvement and cost reduction through VAVE (Value Analysis and Value Engineering). Product validation for new geographical countries, by understanding requirement, testing and deployment. Specify, design, verify and debug complex circuits for our inverters Performance test products and sub-systems Assist product compliance engineers to achieve global certifications for our products. Specify engineering requirements, create test plans and generate test reports Provide technical mentoring to manufacturing and field application engineers Ability to technically lead the team & mentor junior engineers . Raise the bar for technical excellence, accurate documentation and scientific rigor Provide subject matter expertise at an advanced level Keen to work in product enhancement and support team for power electronics products Good in IEC, UL, EN, ANSI and other regulatory standards for solar inverter and power electronics products. Who you are and what you bring: B.E. and 10 + years experience outside of university or Masters and 8 + years . Candidates must have: D eveloping electronic products from the concept stage to market launch in a commercial environment . Extensive k nowledge of circuit schematic, PCB layout and simulation tools Practical experience of in-depth bench testing , V&V testing, and debugging of hardware designs. Strong Troubleshooting and problem solving skillset in field quality, Failure and Root cause analysis. Some experience of using Python , Embedded software development, and working in a Test Automation environment. What would make you stand out Significant experience in one or more of these areas: Good in Power Electronics circuits which includes p ower supply and inverter topologies Good understanding of Product validation, compliance and electrical grid standards. Field Quality Improvement and Cost reduction through Value Analysis and Value Engineering (VAVE).

Job Description Designation Sr. Electrical Design Engineer Department Electrical Design for Overhead Crane Location Pune Qualification B.E. in Electrical Engineering Experience 4+ Years CTC 6-7 LPA Key Skills: EPLAN Electric Proficiency in electrical design software such as EPLAN Electric, Excel and other office tools. Sound knowledge of industry standards and regulations, including NEC, IEC, IS, UL, CE, and CSA Experience in designing electrical systems such as power distribution networks, control panels, and PCBs Familiarity with circuit analysis and simulation tools Proficiency in Excel and Excel-based programming tools Strong analytical and problem-solving skills for diagnosing and resolving electrical issues Ability to accurately interpret electrical schematics and technical drawings Good understanding of electrical components, devices, and system integration Excellent verbal and written communication skills for effective collaboration across teams Roles & Responsibilities Create and review electrical schematics, wiring diagrams, and technical documentation Ensure all designs comply with applicable industry codes and standards (IS, CE, UL, CSA, etc.) Collaborate with cross-functional teams to integrate electrical systems into the overall product architecture Conduct feasibility studies and perform risk assessments for new designs Carry out calculations and simulations to optimize system performance and efficiency Select suitable components, devices, and materials for each project Prepare and manage Bills of Materials (BOMs) and coordinate with the procurement team Provide support during testing, validation, and troubleshooting phases Stay current with industry trends, tools, and emerging technologies in electrical design

The company built on breakthroughs. Join us. Corning is one of the world s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what s possible. How do we do thisWith our people. They break through limitations and expectations not once in a career, but every day. They help move our company, and the world, forward. At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more. Come break through with us. Required Job Profile: Corning Research Center India is seeking a technically exceptional and innovative Senior Scientist to join the team in Pune, India. The ideal candidate will apply engineering knowledge, advanced numerical methods, and computational modeling techniques to solve challenging problems related to product performance and manufacturing processes across Corning s diverse portfolio of materials and technologies. We are looking for a creative, out-of-the-box thinker who can work independently and collaborate effectively with global, multidisciplinary teams to deliver high-impact, innovative, and life-changing solutions. This role requires expertise in heat and mass transfer, highly viscous flows, reaction engineering, multiphase flows, combustion, turbulence, Computational Fluid Dynamics (CFD), advanced modeling techniques, and strong programming skills. Key Responsibilities: Develop, validate, and implement numerical models to address complex engineering problems in heat and mass transfer, highly viscous flows, reaction engineering, combustion, multiphase flows, turbulence, and computational fluid dynamics (CFD). Collaborate with cross-functional teams, including experimentalists, researchers, scientists, and project leaders located globally, to address research and development challenges. Create models using appropriate numerical methods and software and expand modeling capabilities as required. Translate real-world problems into solvable modeling objectives and provide actionable insights. Communicate and present project updates to stakeholders across global locations. Document results and findings via internal reports and external publications. Stay at technological forefront in modeling, simulation, and applied mechanics. Required Skills: Solid expertise in fluid dynamics, including heat and mass transfer, highly viscous flows, reaction engineering, combustion, multiphase flows, turbulence, and advanced numerical and computational techniques. Hands-on experience with commercial / opensource CFD softwares, including (but not limited to) FLUENT, Polyflow, Ansys-Thermal, OpenFOAM, COMSOL, SpaceClaim, ANSYS Meshing Platform, MATLAB, and Tecplot. Proficiency in programming languages such as C/C++, Unix, Shell, and Python. Strong analytical, diagnostic, and problem-solving skills. Ability to break down complex real-world problems into solvable modeling objectives. Versatility in adapting to various technology areas; a balanced combination of technical depth and breadth. Self-motivated with a long-term interest in technical growth. Desired Skills: Familiarity with polymer processing, viscoelastic flow, or injection molding modeling will be a plus. Proficiency in open-source CFD software such as OpenFOAM, and commercial tools like MoldFlow or Moldex3D, is highly desirable. Exposure to Artificial Intelligence (AI), Machine Learning (ML), and Data Analytics techniques particularly as applied to modeling, simulation, or materials science. Familiarity with statistical methods, machine learning frameworks (e.g., TensorFlow, PyTorch), or data visualization tools . Experience working in an industrial R&D environment . Knowledge of data-driven modeling, optimization, or predictive analytics . Flexibility to thrive in a dynamic work environment and adapt to changing priorities. Ability to integrate physics-based models with data-driven approaches to enhance predictive capabilities. Soft Skills: Highly collaborative and capable of fostering open engagement with colleagues to achieve project goals. Strong technical curiosity with a desire to continually learn and grow in diverse technology areas. Ability to translate complex technical concepts into simplified explanations for broader audiences. Self-driven with a proven ability to manage independent workstreams. Effective communication skills for remote collaboration with global teams via phone and video calls. Education and Experience: A PhD, Master s, or Dual Degree in Mechanical Engineering (Fluid and Thermal), Aerospace Engineering or Chemical Engineering with a strong emphasis on heat and mass transfer, fluid flow and Computational Fluid Dynamics from IITs, IISc, or other reputed institutions (including leading foreign universities). Candidates with more than 4 years of relevant work experience post-Masters/Dual Degree or more than 2 years of relevant experience post-PhD are encouraged to apply. Exceptionally bright candidates with lesser experience but a proven track record of excellence and strong capabilities in relevant areas are also invited to apply Travel: Opportunities for travel to global locations to collaborate with diverse and talented teams in research, development, engineering, and manufacturing , fostering innovation and cross-cultural exchange. Work Flexibility: Flexible work arrangements , including the option to work from home up to 2 days per week , promoting work-life balance and productivity.

Overview We are seeking a skilled and passionate 3D Visualization Engineer to join our graphics and simulation team. The ideal candidate will specialize in OpenGL-based rendering, 3D reconstruction, and visualization algorithms to deliver high-performance graphical applications and immersive experiences. Key Responsibilities Design and develop advanced 3D rendering pipelines using OpenGL. Implement real-time visualization techniques for large datasets and 3D models. Develop algorithms for 3D reconstruction from structured/unstructured data (e.g., point clouds, images). Optimize rendering performance and memory usage across platforms. Collaborate with data scientists, simulation experts, and UI/UX designers to create seamless visual workflows. Integrate shaders, lighting models, and scene management techniques for realistic graphics. Debug and profile GPU/CPU bottlenecks using tools like RenderDoc, NVIDIA Nsight, or similar. Document technical designs, pipelines, and development practices. Required Skills Strong proficiency in OpenGL , GLSL, and graphics pipeline development. Experience with 3D reconstruction algorithms such as multi-view stereo, depth mapping, voxel grids, or TSDF. Solid understanding of linear algebra , geometry, and data structures for spatial computation. Familiarity with computer vision techniques used in visual SLAM, photogrammetry, or mesh generation. Proficiency in C++ and/or Python for numerical and graphics developmen 3d, Gaming, Opengl, Rendering, Visualisation

Jul 18, 2025 Location: Mumbai Designation: Consultant Entity: Deloitte Touche Tohmatsu India LLP Your potential, unleashed. India s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realise your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond. At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters. The team Deloitte helps organizations prevent cyberattacks and protect valuable assets. We believe in being secure, vigilant, and resilient not only by looking at how to prevent and respond to attacks, but at how to manage cyber risk in a way that allows you to unleash new opportunities. Embed cyber risk at the start of strategy development for more effective management of information and technology risks Job Summary: We are seeking an experienced Red Team Specialist with a strong background in offensive security and hands-on experience in conducting Red Team engagements across various vectors. The ideal candidate will be responsible for simulating sophisticated cyber-attacks to test and enhance our clients detection and response capabilities, especially within the BFSI sector. Key Responsibilities: Plan and execute Red Team engagements simulating realistic threat actor scenarios (external, internal, and physical). Conduct assumed breach assessments , initial access simulations , lateral movement , and exfiltration exercises . Leverage MITRE ATT&CK framework to design threat scenarios and map findings. Exploit misconfigurations and vulnerabilities in Active Directory , cloud environments, and enterprise infrastructure. Use and integrate CART/BAS tools like Cymulate, Pycus, or similar platforms to automate and validate security posture. Work with Blue Teams to measure detection, prevention, and response capabilities post-engagement. Develop comprehensive reports with actionable remediation recommendations. Conduct threat emulation based on industry-specific APT groups relevant to the BFSI sector. Stay updated on emerging threats, attack techniques, and countermeasures. Support internal and client-facing security awareness , purple teaming , and tabletop exercises . Required Skills & Experience: Minimum 5 years of hands-on experience in offensive security / red teaming roles. Proficient in TTPs for Red Team operations , including phishing, C2 infrastructure, evasion techniques, privilege escalation, and data exfiltration. In-depth understanding of Windows internals , Active Directory attacks (Kerberoasting, Pass-the-Hash/Ticket, ACL abuse, DCShadow, etc.). Solid understanding of network protocols , cloud platforms , and endpoint security bypass techniques . Familiarity with attack simulation tools , custom scripting, and open-source frameworks (Cobalt Strike, Metasploit, Empire, Covenant, etc.). Experience in physical security assessments , badge cloning, RFID/NFC exploitation, and social engineering (preferred). Strong knowledge of MITRE ATT&CK , NIST , and equivalent frameworks. Ability to document findings, map them to risk frameworks, and present to both technical and executive stakeholders. Preferred Qualifications: OSCP, CRTP, or similar offensive security certifications. Prior experience in BFSI sector engagements . Understanding of compliance and regulatory requirements in financial institutions (e.g., RBI, SEBI, ISO 27001). Additional Expectations: Excellent analytical and problem-solving skills. Strong communication skills for stakeholder management and post-engagement debriefs. Ability to work in high-pressure environments and coordinate with cross-functional teams. Experience: 3 to 5 Years Location: Mumbai (Full-Time | Work From Office) Certifications: OSCP, CRTP, or equivalent

Responsibilities & Key Deliverables Benchmark data collection for Exterior and Interior vehicle dimensions as per SAE J1100 in Standard template Benchmarking for Occupant protection and Side Impact dimensions Collect lessons learnt from other projects on overall vehicle and passenger compartment and ensure implementation Release VOPL layout every month for design teams to refer Liaison with styling for exterior and interior ergonomics signoff and base line style in vehicle layout for resp system to refer to. Overall vehicle and passenger compartment hard point finalization and tracking Driver Controls layout and monitoring conformance of controls for ergonomic reqt s with Ergonomics team Preparation of Seating Buck for internal/external Jury Evaluation Collate benchmark data for ergonomic simulation and design reviews. Support Passenger compartment layout person for availability of ergonomics requirements i.e. Manikins (2 D/ 3 D) Conduct Ergonomics simulations for occupant s comfort, controls and release reports. Support Vehicle level VOPL release by checking occupant related aspect Support Passenger compartment layout person for occupant related design review and presentations Preparation of project specific jury evaluation questionnaire. Administer the ergonomics Questionnaire to jury members for feedback on seating buck, compile and present report to project team. Experience 4 to 6 Years Industry Preferred Qualifications BE/B.Tech General Requirements

Overview Design Release Engineer - BIW Responsibilities Part Design and Modeling: Create Parametric Surface models of BIW Parts (Underbody & Upperbody components)as per o Packaging requirements o Design standards o Performance criteria o Surface Class requirement o Geometrical requirements Create Associative Assembly models DMU check for clash and clearance CAE Interactions: Responsible for meeting DVP&R and DFMEA by virtual analysis by interacting with necessary CAE teams. Product Data management in TC system: Adhere to PLM system rules and maintain part history Maintain the structure as per EBOM in the PLM system Release parts and assemblies as per Corporate Release Process following instructions of DRE Change Management: Support the Change management by design changes and /or incorporating feed backs from Development team Qualifications Bachelor/ MasterDegree in Engineering in Mechanical / Automobile Engineering. Essential skills Essential: Advanced Surface Modeling /Assembly Modeling using CATIA V5 / V6-Sheet metals DMU Analysis Section study PLM/ EBOM Desired skills Desirable: Sheet metal design aspects/ Formability Kinematic simulation Knowledge in GD&T, Sheet Materials Knowledge on Sheet metal welding process Die Process and Die Tryouts Panel Defect Identification / Correction Design for manufacturing Experience 8 to 10 YearsIn OEM and Tier 1 Automotive

Overview Chassis Role: Development Engineer (Tire & Wheels) Responsibilities Role: Development Engineer Chassis Tires, Wheels and Assemblies Responsibilities: Engineering Design & Development of chassis Components (Steel Wheels, Aluminum wheels, Tires, Wheel Bolts, Wheel & Tire Assembly ) for current & new program. Follow Stellantis product development processes. Creating Source package, develop durability and functional objectives for structural components. Supplier readiness evaluation, Technical review, Tool development and time plan review to meet program deliverables for Parts availability, DV, PV tests. Guide CAE team for structural analysis of above Chassis components to meet required fatigue life cycle. (fatigue load cases, NVH and stiffness analysis) Work closely with SQE and supplier for resolving part development challenges, ensure timely KPIs are met for program quality gates. Understand vehicle/sub system functional objectives, inter dependencies and study the packaging, serviceability and cost implications. Visit to supplier plants for process review, sample preparation, witness T0 and VP samples, testing, ensuring part spec and quality, support vehicle build time plan with cost and timing. Understand material properties, coating process, and process flow, and resolve any assembly build issues by working closely with Stellantis plant and module supplier. Support all engineering test & production builds by working with plant team. Address component, assembly & vehicle Field Early Warranty issues with quality & service team. Working closely with cross functional teams like materials, CAE, testing, product center of competency, service, warranty and supplier quality. Drive value optimization initiative and meet target cost savings. Develop new local suppliers to meet functional targets & cost. Competitive bench marking & innovation projects. Qualifications Bachelor/ MasterDegree in Engineering in Mechanical / Automobile Engineering. Essential skills Essential Minimum 6 years of Tire Design and Development experience with Tire manufacturer or at passenger car manufacturer ( OEM ) . 8 to 10 years of overall experience with automotive OEM or equivalent in Wheels & Tires and W&T Assemblies Design / Development or any other Chassis specific area. Understand Wheel & Tire testing, development & Homologation requirements. ETRTO/ T&RA/ SAE design guidelines. In depth experience of product development process, supplier evaluation, tech review, DFMEA, DVP&R, control plan, PFMEA, PPAP. Root cause analysis (Proactive & reactive methods) for parts under development and field return/warranty. Knowledge of DFSS methodology for design and reactive root cause analysis methods. (Shainin, DOE). Experience in Catia V5 modeling (Surface/Assembly). Good understanding of functional science of Chassis subs systems for fatigue, NVH, handling and stiffness. Excellent written and verbal communication skills Preferred Experience Vehicle assembly process knowledge and system and component tooling and process experience. Process knowledge of casting, sheet metal and forging. Simulation of manufacturing processes (sheet metal forming, casting-mold fill simulation) Knowledge of various chassis subsystems and Vehicle dynamics. Experience 8 to 10 YearsIn OEM and Tier 1 Automotive

Roles & Responsibilities: Evaluate Motorcycle & Scooter Vehicle Dynamics through technical calculation and simulation. Benchmark wheels, suspension, and tires to derive specifications and targets for new products, informed by HOQ and customer studies. Evaluate & Finalize suspension specifications (e.g., spring stiffness, damping) through calculation, simulation, layout verification to meet the Target Ride Comfort. Design and optimize wheel geometries, bearing & other parts, material selection and manufacturing processes for durability, performance, and aesthetics. Calculate Tyre Specifications, communicate to supplier, coordinate with testing team and finalise the specifications. Coordinate with Simulation (FEA) & MBD (Vehicle Dynamics) Team to evaluate the design for stress, strain, fatigue, and modal analysis to meet Q, C & D Targets. Develop new concepts and technologies aimed at weight and cost reduction. Develop Design Guidelines, Master DFMEA, DFA, DFM, POT & DVP documents. Prepare should cost sheets & discuss with sourcing & supplier for bridging the gap. Prepare technical documentation, design reports, and presentations for internal reviews and external stakeholders. Analyze test data (e.g., ride data, handling characteristics, tire wear patterns) to validate design assumptions and inform iterative improvements. Conduct root cause analysis for field failures or customer complaints related to wheels, suspension, or tires, and implement effective countermeasures. Develop and execute comprehensive DVP&R (Design Verification Plan & Report), including lab, rig, and vehicle-level testing. Innovate and file Indian Patents for the new concepts and technologies. Conduct white space analysis, Prepare Prior Art Search Report & apply FTO for new concepts & technologies. Manage new product development, existing product enhancements, VA-VE projects, customer complaint resolution, and technology initiatives concurrently, adhering to established timelines. Collaborate closely with cross-functional teams including Styling, Product Planning, Manufacturing, Quality, Sourcing, and After-Sales throughout the product lifecycle. Engage with external suppliers and partners for component development, testing, and production, ensuring adherence to specifications and quality standards. Stay updated on the latest industry trends, technologies, materials, and regulations in the global and Indian two-wheeler market, particularly concerning chassis, wheels, suspension, and tires. Ensure all designs and components comply with relevant Indian and international automotive regulations (e.g., AIS standards, BIS, ISO, JIS & IS) and safety standards. Implement DFMEA (Design Failure Mode and Effects Analysis) and DFM (Design for Manufacturing) processes to identify and mitigate potential risks early in the design phase. Support the proto team with concept 3d models, benchmark parts from ICE or VE for proto vehicle build. Competency Requirements: Expert in CAD Software, UG-Nx & Pro-E is a must. Knowledge of PLM tools like, Team Center, SAP & Windchill. Experienced in considering DFM of plastic , Sheet Metal , casting, Extruded parts, steel & Aluminum Forged Parts etc, manufacturing / assembly processes. Must be a Mechanical Engineer having Bachelor of Engineering / Master of Engineering. 5 to 10 yrs experience in Design & Development of Suspension, Wheels & Tyres. Strong technical, analytical and problem-solving skills. Excellent communication, time & work management and teamwork skills. Attention to detail and a commitment to producing high-quality results / designs.

Lead Systems Engineer Battery Energy Storage System & Metersuite We are developing a Battery Energy Storage System, this involves a high level of multidisciplinary engineering coming together and integrating a product based on the cell chemistry, its thermal management, choice of the hardware for controls, integrate through firmware and software layers and ultimately manage the flow of electrical energy through high voltage systems. The role involves a 360-degree system architecture lookout, defining the interfaces between Battery, Mechanical, Electrical, Controls and Safety systems. The individual is expected to be ready to explore, guide and drive solutioning of the challenges involved in such an integration. The ideal candidate has a track-record of successfully leading Software development, validation and integration for power solutions which seamlessly combine several power converters (AC-DC, DC-AC, DC-DC). Exceptional communication skills will help you work with Systems Engineer and Software Engineers to ensure successful system integration in our world-wide, customer-oriented, expanding team Soft skills Good Communication skills, process adherence mindset, innovative mindset, systematic, team player. Ability to work in a dynamic product development environment. Ability to tune the discussion / presentation based on audience ability to handle a wide range of audience such as Consultants, Certification Agencies, Development teams & Leadership. High perseverance & positive attitude. Good inter-personal & mentoring skills. Willingness to take up challenging NPIs in adjacencies. Soft skills Good Communication skills, process adherence mindset, innovative mindset, systematic, team player. Ability to work in a dynamic product development environment. Ability to tune the discussion / presentation based on audience ability to handle a wide range of audience such as Consultants, Certification Agencies, Development teams & Leadership. High perseverance & positive attitude. Good inter-personal & mentoring skills. Willingness to take up challenging NPIs in adjacencies. Technical skill & Expertise 16+years experience with a Masters / Bachelors graduate in area of Software Engineering (Electronics/Electrical/Controls Engineering). Good knowledge in renewables & market trends Strong experience in engineering of large & multidisciplinary systems. Collaborate effectively with cross-functional teams (e. g. , System Architect, Power Product Design Team, Software development team, external vendors) to achieve seamless integration of Software with other system components (e. g. , Hardware and Firmware, solution cabinet/enclosure, validation equipment, etc. ) Solid knowledge of Software engineering fundamentals, strong analytical and problem-solving skills. Deep hands-on in 1-2 areas of application & simulation software development and appreciation to other engineering disciplines including mechanical, electrical, thermal, manufacturing and integrated supply chain Ability to drive technical decision making, experience in taking data driven calculated risks Experience & skill wrt product/solution development from pre-concept phase till manufacturing & field installation Ability to an allrounder in a team of diverse disciplines & skillset, skill to solve multidisciplinary engineering problems. Proficient with various test equipment used for power systems evaluation (e. g. , oscilloscopes, spectrum analyzer, electronic loads, multimeters, etc. ). Ability in using these tools to measure KPIs like voltage, current, power factor, efficiency, etc. is essential. Past experience in industrial automation / process control or safety/ sustainability / energy storage. Experienced in product certification, agency facing, environmental qualification of the product. Experience in design for cost, implementation of non-functional requirements, technical scope management Experience in Energy & Grid related applications is a strong plus. Experience in Microgrid & Power Plant Controller solutions that leverage BESS technology Experience in custody transfer function block library development that complies to all the ISO, API and AGA standards Knowledge in Cloud solutions and AI/ML will be added advantage Experience of utility practices, industry codes and standards (NESC, IEEE, PIP etc. ). Technical skill & Expertise 16+years experience with a Masters / Bachelors graduate in area of Software Engineering (Electronics/Electrical/Controls Engineering). Good knowledge in renewables & market trends Strong experience in engineering of large & multidisciplinary systems. Collaborate effectively with cross-functional teams (e. g. , System Architect, Power Product Design Team, Software development team, external vendors) to achieve seamless integration of Software with other system components (e. g. , Hardware and Firmware, solution cabinet/enclosure, validation equipment, etc. ) Solid knowledge of Software engineering fundamentals, strong analytical and problem-solving skills. Deep hands-on in 1-2 areas of application & simulation software development and appreciation to other engineering disciplines including mechanical, electrical, thermal, manufacturing and integrated supply chain Ability to drive technical decision making, experience in taking data driven calculated risks Experience & skill wrt product/solution development from pre-concept phase till manufacturing & field installation Ability to an allrounder in a team of diverse disciplines & skillset, skill to solve multidisciplinary engineering problems. Proficient with various test equipment used for power systems evaluation (e. g. , oscilloscopes, spectrum analyzer, electronic loads, multimeters, etc. ). Ability in using these tools to measure KPIs like voltage, current, power factor, efficiency, etc. is essential. Past experience in industrial automation / process control or safety/ sustainability / energy storage. Experienced in product certification, agency facing, environmental qualification of the product. Experience in design for cost, implementation of non-functional requirements, technical scope management Experience in Energy & Grid related applications is a strong plus. Experience in Microgrid & Power Plant Controller solutions that leverage BESS technology Experience in custody transfer function block library development that complies to all the ISO, API and AGA standards Knowledge in Cloud solutions and AI/ML will be added advantage Experience of utility practices, industry codes and standards (NESC, IEEE, PIP etc. ).

Requisition #: 16743 Ansys is now a part of Synopsys. Synopsys, Inc. (Nasdaq: SNPS) accelerates technology innovation from silicon to systems. Catalyzing the era of pervasive intelligence, we deliver design solutions, from electronic design automation to silicon IP, to system design and multiphysics simulation and analysis. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. Learn more at www.synopsys.com. Summary/Role Purpose The R&D Engineer II joins the Global CTO Office, contributes/leads the research, design and development of next-generation software products/support systems while working on innovative technologies including AI/ML/, System Engineering, MBSE (Model Based Systems Engineering), Digital Twins, IOT (Hardware/Software) etc. In this role, the R&D Engineer II will build on baseline expertise to execute and help in methodology plans, refine requirements and provide technical mastery in achieving development objectives. Specifically, this position is targeted to build and execute expert solutions including supporting new product ideas along Design Synthesis, Reasoning, Completion, and Verification of Systems along with development of full stack IOT solutions for digital twins. Given the novelty of work, the candidate may not come with explicit knowledge of these advanced domains but should have adequate knowledge of product engineering from conceptualization to validation and have inquisitiveness to delve and deliver in uncharted product/knowledge space incrementally. Key Duties and Responsibilities Contribute to implementing the research ideas via literature reviews, design ideas via systems thinking and development ideas via software building while working at the intersection of cutting edges technologies including AI/ML, System Engineering, MBSE, IOT etc. Develop, execute, document, and maintain programming and algorithmic best practices. Regression testing, Bug fixing. Operate with limited supervision as project lead, or software architect/developer. Contribute to consulting services, internal training on new capabilities. Minimum Education/Certification Requirements and Experience BS in Engineering in branches like Computer Science, Electronics, Electrical or related field with 2 years experience, MS with 1 years experience. Proficiency in at least one programming language. Proven track record of crafting robust and efficient code. Preferred Qualifications and Skills Familiarity with System Engineering/MBSE/AI/ML/IOT. Experience in Python programming, Algorithm development, Cloud technologies. Professional/Educational background in Electronics/Computer Science. Experience leading projects and delivering high-quality products in a large-scale commercial software development environment. Ability to overcome obstacles and drive projects to completion. Rewards and Benefits: We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process. At Ansys, part of Synopsys, we want talented people of every background to feel valued and supported to do their best work. We consider all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

Requisition #: 16889 Ansys is now a part of Synopsys. Synopsys, Inc. (Nasdaq: SNPS) accelerates technology innovation from silicon to systems. Catalyzing the era of pervasive intelligence, we deliver design solutions, from electronic design automation to silicon IP, to system design and multiphysics simulation and analysis. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. Learn more at www.synopsys.com. Summary / Role Purpose The Product Specialist (m/f/d) joins the Ansys Electronics Business Unit to conduct software testing of Ansys Electronics applications such as HFSS, SIwave, Q3D Extractor, Maxwell and Icepak on Cloud environment. This role helps to assess how well the product meets customers needs both in terms of functionality and usability and ensures that product requirements and quality standards are satisfied per the company s quality procedures. The individual works closely with other members of the product creation and field engineering team and communicates with technical specialists on product issues. In this position, the engineer contributes to the quality of tools that are used throughout the industry to develop electronics products in a wide range of industries. Key Duties and Responsibilities Test Ansys Electronics Products on Cloud and HPC (High Performance Computing) Environment Perform benchmark of projects on different HPC and Hardware configuration Develop/contribute to automation scripts Apply standard techniques and procedures and comply with the companys overall development and testing processes Work in a variety of computing environments: Windows, Linux, AWS, Azure, Any programming or scripting language C++/Python/.. Work closely with product owners, documentation and development in an agile environment. Support the team in following the Ansys software development life cycle Analyze defect reports from customers Minimum Education/Certification Requirements and Experience BS in Engineering, Electronics and Communication, Electrical and Electronics or related field Preferred Qualifications and Skills Electromagnetic simulation experience (HFSS highly preferred) Experience with HPC (including GPU) and Cloud environment Familiarity with Python and automation scripts Basic understanding of software testing and verification processes Good communication and interpersonal skills Ability to learn quickly and to collaborate with others in a geographically distributed team Fluent English, both written and spoken Rewards and Benefits: We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process. At Ansys, part of Synopsys, we want talented people of every background to feel valued and supported to do their best work. We consider all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

Requisition #: 16690 Ansys is now a part of Synopsys. Synopsys, Inc. (Nasdaq: SNPS) accelerates technology innovation from silicon to systems. Catalyzing the era of pervasive intelligence, we deliver design solutions, from electronic design automation to silicon IP, to system design and multiphysics simulation and analysis. We partner closely with our customers across a wide range of industries to maximize their RD capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. Learn more at www.synopsys.com. Summary / Role Purpose The RD Engineer II contributes to the development of software products and supporting systems. In this role, the RD Engineer II will collaborate with a team of expert professionals to understand customer requirements and accomplish development objectives. Key Duties and Responsibilities Performs moderately complex development activities, including the design, implementation, maintenance, testing and documentation of software modules and sub-systems Understands and employs best practices Performs moderately complex bug verification, release testing and beta support for assigned products. Researches problems discovered by QA or product support and develops solutions Understands the marketing requirements for a product, including target environment, performance criteria and competitive issues Works under the general supervision of a development manager Minimum Education/Certification Requirements and Experience BS in Engineering, Computer Science, or related field with 2 years experience or MS Working experience with C/C++ coding, data structures and algorithms. Preferred Qualifications and Skills Technical knowledge and experience with computational geometry or mesh generation and. object-oriented design Technical knowledge and experience with scripting languages like Python is a plus. Technical knowledge and experience with parallel programming and GPU is a plus. Experience in a large-scale commercial software development environment Rewards and Benefits: We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process. At Ansys, part of Synopsys, we want talented people of every background to feel valued and supported to do their best work. We consider all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

Roles & Responsibilities : SW QA Engineer will perform testing on the Control Logics developed by Control SW Engineer. Also be responsible for testing UI. Preparation of tests cases for HiL, SiL environments by understanding the control SW models developed using MATLAB/Simulink Preparation of tests cases for HiL, SiL environments by understanding the control SW algorithms developed using C++ Automation of test cases for HiL, SiL environments using Python, C/C++

We are now looking to hire strong performance verification engineers with a sharp understanding of CPU and memory architecture. NVIDIA makes some of the fastest CPUs in the world and is solving problems, with its vast arsenal of CPUs, GPUs and SW, in areas such as High-performance computing, Automated driving, Medical imaging and much more! We are seeking highly motivated engineers to join this dynamic and innovative team that owns performance alignment of CPUs and CPU fabrics made by NVIDIA! Do you want to be part of the team that explores and defines the next generation of CPUs What will you be doing: Responsibilities will include development of test plans and strategies, develop simulation environments, system bring-up, validation, and automation to deliver best-in-class CPUs. Develop and maintain CPU simulator infrastructure, hardware CPU test and performance infrastructure. Analyze and validate CPU and fabric performance, helping to understand current, and guide the development of future CPU products. Definition and development of tool chain and workflows that enables the full system performance alignment. Silicon based competitive analysis of NVIDIA CPUs. What we need to see: Masters or Bachelors degree in EE/CS or equivalent experience 5+ years of experience preferably in the areas of CPU / SOC Performance Verification and Analysis Strong understanding of computer system architecture and operating system fundamentals. Hands-on experience with HDLs such as Verilog / System Verilog. Knowledge of verification methodologies and tools for IP and SoC level verification. Experience with System Verilog, C/C++, Python languages and relevant frameworks. Background with debug on Silicon. Ways to stand out from the crowd: Detailed knowledge of the ARM and/or x-86 architecture. Prior experience with performance analysis of CPUs. Experience with analysis and characterization of CPU workloads. #LI-Hybrid

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a learning machine that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life s work , to amplify human creativity and intelligence. As an NVIDIAN, you ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world! What you ll be doing: Work on structural and functional verification of low power aspects of NVIDIA s family of chips. Come up with test plans and coverage plans of these features. Write test cases, test bench components like assertions and coverage points, and own verification convergence. Collaborate with system level and unit level teams to cover the features well from functional, electrical, performance, and noise aspects. Work with architects, designers, pre- and post-silicon verification teams, synthesis, timing and back-end teams to accomplish your tasks. Validate the effectiveness of the low power features on silicon. What we need to see: BS/MS or equivalent experience with specialization related to Low Power techniques and Verification. 2+ years of experience. Fundamental understanding of power basics including transistor-level leakage/dynamic characteristics of VLSI circuits. Knowledge of power intent formats - UPF/CPF. Experience in Static Power check - tools like VCLP/MVRC or similar. Hands-on knowledge in Power aware dynamic verification - NLP/MVSIM or similar tools. Experience in design and verification tools (VCS or equivalent simulation tools, Verdi or other debug tools). Familiarity with low power design techniques such as multi VT, Clock gating, Power gating, and Dynamic Voltage-Frequency Scaling (DVFS). Ways to stand out from the crowd: Good software programming skills. Python/Perl/C++ preferred. Confident debugging and problem-solving skills. Good communication skills and ability & desire to work as a great teammate. With competitive salaries and a generous benefits package, Nvidia is widely considered to be one of the most desirable employers in the world. #LI-Hybrid

We are looking for a skilled and innovative Simulation Engineer for the Research & Development team. The ideal candidate will be responsible for conceptualizing and designing mechanical components, performing advanced electromagnetic simulations, and supporting the production team on the shop floor. Key Responsibilities: Apply product design concepts and simulation techniques to support electromagnetic simulations. Conduct simulations using ANSYS HFSS; knowledge of mechanical and thermal integration preferred. Automate simulation workflows using Python or similar programming languages. Provide simulation support for various R&D projects. Analyze simulation results and optimize product design based on outcomes. Perform mechanical and thermal simulations, capacitor characterization, and thermal mapping. Collaborate with design and manufacturing teams to translate concepts into simulation models. Skills & Knowledge: Strong fundamentals in electromagnetic simulations. Hands-on experience with ANSYS HFSS, ANSYS Q3D, Solid Edge/SolidWorks. Knowledge of plastic injection molding, adhesives, stamping, and punching processes. Familiarity with FMEA, APQP processes. Understanding of material properties and testing methods. Knowledge of industry standards (ZVEI, AEC Q200, IEC, IATF, ISO). Good programming skills in Python, C#, or JavaScript. Soft Skills: Self-motivated and independent contributor. Strong analytical and logical thinking. Team player with flexibility and innovation mindset. Good communication, documentation, and reporting skills.