3010 Matlab Jobs - Page 18

Senior Engineer Exp: 3-5 Yrs Location: Bangalore Experience in safety critical software Requirement, Design & development, testing and System Integration Engineers should have Working knowledge of OpenGL (Open Graphics Library) & C++ and usage of Case Tools, AI/ML development skills preferable, MATLAB / Simulink model development

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience with Machine Learning, with experience in construction of algorithms and programming (e.g., C, Python, MATLAB or Shell). 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Preferred qualifications: 3 years of experience with AI/ML algorithms and tools, deep learning, or natural language processing. Experience working with one or more of the following: full stack, web, or mobile development, data engineering, applied Machine Leaning. Experience with one or more programming languages including but not limited to: Java, Python, TypeScript, JavaScript, HTML/CSS, PHP, SQL. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers. Responsibilities Contribute to the design of the core architecture and foundations of products, and launch and maintain the service. Make independent, quality technical contributions. Contribute to the design of products including authoring and presenting design specifications. Work on both front-end and back-end development.

Minimum qualifications: Master's degree in Statistics or Economics, a related field, or equivalent practical experience. 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods. Experience with statistical software (e.g., SQL, R, Python, MATLAB, pandas) and database languages along with Statistical Analysis, Modeling and Inference. Preferred qualifications: Experience translating analysis results into business recommendations. Experience understanding potential outcomes framework and with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators). Experience selecting tools to solve data analysis issues. Experience articulating business questions and using data to find a solution. Knowledge of structural econometric methods. About the job At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution. Responsibilities Interact cross-functionally with a variety of leaders and teams, and work with Engineers and Product Managers to identify opportunities for design and to assess improvements for advertising measurement products. Collaborate with teams to define questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, bidding etc., and develop and implement quantitative methods to answer those questions. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analyses that include data gathering and requirements specification, exploratory data analysis (EDA), model development, and delivery of results to business partners and executives. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop knowledge of Google data structures,metrics, advocating for changes where needed for product development.

Minimum qualifications: Bachelor's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience. 5 years of experience working with statistical packages (e.g., R, SAS, Stata, MATLAB, etc.). Experience in articulating product questions, pulling data from datasets (e.g., SQL), and using statistics. Preferred qualifications: 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL). Experience working with multiple datasets/data warehouses, with the ability to pull from data sets using tools and coding. Experience in experimental design (e.g., A/B, multivariate) and incremental analysis. About the job Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. Responsibilities Identify and structure business problems, communicate challenges and opportunities. Act as a thought partner to produce insights and metrics for various technical and business stakeholders. Deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information. Follow engineering best practices to create scalable data pipelines and models. Engage and influence executive stakeholders and cross-functional partners, obtain buy-in for potential solutions, adapt messaging and suggested recommendations.

Job Description Roles and Responsibilities: Reliability Planning and Execution: Collaborating with cross-functional teams to develop and execute reliability plans, ensuring alignment with program requirements and goals. Reliability Testing Coordination: Coordinating reliability testing activities, including system reliability testing and reliability demonstration testing. Result Review and External Partnership Reviewing reliability testing results to identify areas for improvement and inform future testing strategies and partnering with external agencies to perform reliability testing and ensure compliance with regulatory requirements. Statistical and DFR Expertise: Maintaining and applying strong statistical and Design for Reliability (DFR) knowledge to inform reliability planning, testing and analysis. Project Leadership: Plan, schedule, and lead project assignments using appropriate engineering techniques, processes, and methods with minimal guidance. Reliability Requirements: Identify and define Reliability related requirements from applicable product requirements, use profiles, and risk mitigations. Guidance and Collaboration: Provide guidance to design teams in Reliability process execution using relevant methodologies, tools & techniques, and collaborate with cross-functional resources involved in activities. Reliability Predictions & Metrics: Establish Reliability predictions, Reliability testing, and post marketmetrics. Communication and Project Management: Create and communicate plans, tasks, deliverables, and status, and manage time and resources to meet committed schedule milestones. Relationship Building: Develop and maintain an effective and collaborative working relationship with internal and external development partners. Troubleshooting and Problem-Solving: Lead the troubleshooting and problem-solving efforts related to Reliability aspects of devices and associated systems. Post-Market Support: Support sustaining teams in Post Market events and Investigations. Risk Assessment: Participate in risk assessment activities, such as DFMEA, to ensure reliability goals are appropriate for risk mitigations. Education & Qualification Bachelor s degree in mechanical, electrical discipline, Post graduate degree in Reliability preferred Qualification: Bachelor s degree in mechanical, electrical discipline, Post graduate degree in Reliability preferred. Experience: 15+ years of R&D experience; experience in medical device industry preferred Experience/expertise in the following areas: Design for Reliability planning and management, establishing Reliability Requirements & Goals, Reliability Prediction using different methods (e.g. Parts count & Parts stress methods). Strong Working knowledge of Reliability Analysis (statistical techniques), process and methods Certifications: Six Sigma Yellow Belt Software: PTC Windchill, Minitab, C-language, MATLAB, VBA basics, RAM Commander, Item-Tool Kit, Reliasoft (Weibull++, -Predict), MS-Office, and Easy-Fit Standards: knowledge about MIL_HDBK-217, Telcordia, EN50126, EN50128, EN50129, NPRD, NSWC, EPRD, MIL-HDBK-338. Working experience on Electromechanical devices Design for Reliability life cycle Good understanding on standards like MIL-HDBK-217/ Telcordia and NPRD 95. Reliability modeling & allocation to set the reliability target for subsystems and components. Experience developing test strategies, protocols, reports and test method validation documentation. Working experience in designing / executing Accelerated Life Testing Working experience on statistical tools and processes (Field data analysis techniques like Weibull analysis) Planning and performing reliability growth and Reliability Demonstration Testing and expertise and fluency in Excel, Minitab, Windchill / Relex, Reliasoft, etc. preferred. Certified Reliability Professional/Engineer (or equivalent) preferred. Strong interpersonal and communication skills in written and verbal form

Artificial Intelligence (AI) / Machine Learning (ML) with hands-on experience (3-5 years). Experience with Reinforcement Learning and Optimization problems is a plus. Job Description In your new role you will: Understand the semiconductor development process and identify automation potential for the application of Artificial Intelligence (AI) methodology , by conducting discussions with internal customers. Define and develop AI based methodologies in cooperation with internal experts as well as with universities. Implement tool-flows to enable the development engineers to make use of AI in their daily work without the need to become AI experts. Taking care for high quality of deliverables by actively testing and validating. Document the implemented tools. Support development engineers by the first use of AI methodology. Your Profile You are best equipped for this task if you have: A Master s degree in Electrical Engineering, Computer Science orequivalent degree. Very solid knowledge of: Artificial Intelligence (AI) / Machine Learning (ML) with hands-on experience (3-5 years). for driving decarbonization and digitalization. As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener. Are you in? We are on a journey to create the best Infineon for everyone. This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant s experience and skills. Learn more about our various contact channels. Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process. Click here for more information about Diversity & Inclusion at Infineon.

MC Delivery Professional is playing a key role in the delivery of creative, brandcompliant, and costeffective solutionsdeliverables and as such proactively supporting MC teams across the company. Shehe oversees the communication and connection across various teams and relevant stakeholders. Is an advocate of best practices and innovation. Job Description - Grade Specific Strong team player Works cooperatively with in support of others to achieve team goalsOperates under close supervision and applies precisely defined actionscompetenciesHas drive for MC projects Skills (competencies)

This role involves the development and application of engineering practice and knowledge in the following technologies: Electronic logic programs (FPGA, ASICs); Design layout and verification of integrated circuits (ICs),printed circuit boards(PCBs), and electronic systems; and developing and designing methods of using electrical power and electronic equipment; Job Description - Grade Specific Focus on Electrical, Electronics Semiconductor. Fully competent in own area. Acts as a key contributor in a more complex critical environment. Proactively acts to understand and anticipates client needs. Manages costs and profitability for a work area. Manages own agenda to meet agreed targets. Develop plans for projects in own area. Looks beyond the immediate problem to the wider implications. Acts as a facilitator, coach and moves teams forward. Skills (competencies)

Job Title: Data Scientist Location: Gurgaon Level/Band: Band C (Manager / Senior Manager) Department: Flight Safety About The Role We are seeking a motivated and highly skilled Data Scientist to join our Flight Safety team. This role is critical in leveraging advanced analytics and machine learning to drive safety-related decisions and improve operational processes. The successful candidate will work extensively with time-series and multivariate data to detect anomalies, uncover patterns, and develop predictive models that enhance flight safety and risk mitigation. You will play a strategic role in applying AI/ML techniques , building custom algorithms , and conducting exploratory data analysis , with a strong focus on aviation safety and operational excellence. Key Responsibilities Perform exploratory data analysis (EDA) to uncover patterns, trends, and insights from complex datasets. Apply advanced anomaly detection techniques on time-series and multivariate data to identify irregularities and potential safety risks. Develop and implement machine learning and deep learning models (e.g., ANN, RNN, CNN) for predictive safety analytics. Utilize big data analytics tools and AI/ML frameworks to support data-driven decision-making in flight safety. Design and develop custom algorithms to meet domain-specific requirements with high accuracy and reliability. Write efficient, maintainable code using Python and MATLAB for data processing, modeling, and algorithm deployment. Collect, clean, and preprocess data from multiple sources to ensure high-quality inputs for model development. Collaborate with cross-functional teams to translate analytical findings into actionable safety initiatives. Educational Background Required Qualifications & Experience: Bachelor’s degree in Engineering with a specialization in Data Science or a related field. Certification in Data Science (such as a completed Data Scientist course or equivalent). Professional Experience Minimum 6 years of hands-on experience in data science, machine learning, or analytics roles. Proven experience in developing AI/ML models, particularly in anomaly detection and predictive analytics. Key Skills Data Analysis & Exploratory Data Analysis (EDA) Anomaly Detection (Time-Series & Multivariate Data) Machine Learning & Deep Learning (ANN, RNN, CNN) Big Data Analytics & AI-driven Risk Forecasting Strong Programming Skills: Python and MATLAB Custom Algorithm Design & Development Data Collection, Preprocessing, and Integration Why Join Us? Contribute to cutting-edge data science initiatives in the aviation safety domain. Work in a collaborative and innovation-driven environment. Be part of a mission-critical team focused on predictive safety and operational excellence. Skills: analytics,learning,custom algorithm design & development,anomaly detection (time-series & multivariate data),machine learning & deep learning (ann, rnn, cnn),matlab,data analysis,data analysis & exploratory data analysis (eda),big data analytics & ai-driven risk forecasting,flight safety,machine learning,python,data science,data collection, preprocessing, and integration

This role involves the development and application of engineering practice and knowledge in the following technologiesElectronic logic programs (FPGA, ASICs); Design layout and verification of integrated circuits (ICs),printed circuit boards(PCBs), and electronic systems; and developing and designing methods of using electrical power and electronic equipment; - Grade Specific Focus on Electrical, Electronics Semiconductor. Fully competent in own area. Acts as a key contributor in a more complex critical environment. Proactively acts to understand and anticipates client needs. Manages costs and profitability for a work area. Manages own agenda to meet agreed targets. Develop plans for projects in own area. Looks beyond the immediate problem to the wider implications. Acts as a facilitator, coach and moves teams forward. Skills (competencies)

Job description : Contribute to the process of authoring thought leadership pieces on sustainability Contribute to the research process needed to build out new offerings across target segments / sharpen existing offerings As needed, conduct specific, targeted research on specific sustainability topics, based on specific requirements from the team Cover evolving ESG landscape and keep the team abreast of latest developments, e.g. regulatory developments, activities by industry bodies, etc. Duration : 3months Job description : Contribute to the process of authoring thought leadership pieces on sustainability Contribute to the research process needed to build out new offerings across target segments / sharpen existing offerings As needed, conduct specific, targeted research on specific sustainability topics, based on specific requirements from the team Cover evolving ESG landscape and keep the team abreast of latest developments, e.g. regulatory developments, activities by industry bodies, etc. Duration : 3months

At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel. The Lead Data Scientist in this team would have to be passionate about innovating and developing machine learning and data analytics solutions to build our industry-leading map. We provide the opportunity to collaborate with an energetic and dedicated team that works on cutting-edge technology to create tools and services. The candidate will work with researchers, developers, architects, IT to develop, deploy, and maintain applications in multiple environments. Responsibilities: Help design and build the next iteration of process automation in HERE Core Map processes employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making. Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-making data decisions and system control needs. Act as an expert and evangelist in areas of data mining, machine learning, statistics, and predictive analysis and modeling. Function as a predictive modeling or application team lead on Core Map projects. Who are you? MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization. Minimum of 8+ years related professional experience. Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. Should have expert-level knowledge in one or more of these areas. Knowledge of Computer Vision, Deep Learning and Point Cloud Processing algorithms. Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc. Programming experience with SQL, shell script, Python, etc. Knowledge of and ideally some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis. Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques. Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions. Preferred Qualifications: Development experience with and Scala Development experience with Docker Development experience with GIS data Development experience with NoSQL (i.e. DynamoDB) What You ll Get: Challenging problems to solve Opportunities to learn cool new things Work that makes a difference in the world Freedom to decide how to perform your work Variety in the types of projects Feedback so you will know how well you are doing Collaborative, Supportive Colleagues

: 2025-06-18 Country: India Location: North Gate Business Park Sy.No 2/1, and Sy.No 2/2, KIAL Road, Venkatala Village, Chowdeshwari Layout, Yelahanka, Bangalore, Karnataka 560064 Overview: Hardware Product Design activities for Power and Controls SBU (EPS and EACS Businesses) needs a proficient Analog and Digital Designer who has expertise designing for DO-160 and testing and corelating the same and also has strong understanding of EMI/EMC, signal integrity, and hardware design principles who can support in GETC- EDTC qualification activities In this role the Principal Engineer independently own different phase of Hardware Development cycle of Airborne Electronic Hardware development. Mentoring the team and owning HW development cycle as per RTCA DO-254 / EUROCAE ED-80, Design Assurance Guidance for Airborne Electronic Hardware. Position: Principal Engineer (P4) Primary Responsibilities: Expert in Design, Analysis, Testing and Qualification of mixed signal Hardware Systems. Expert in reviewing the deliverables and provide technical guidance to the team. Understanding of DO-254 (Design Assurance Guidance for Airborne Electronic Hardware) process for hardware life cycle. Strong technical capability to lead Hardware Life Cycle Activities (Requirements development, Detailed Design and Specification, Test Plan and Procedure, Verification and Certification documents). Perform board level thermal, signal/power integrity, EMI/EMC simulation, to refine design before the prototype phase, ensuring the highest quality of output. Strong capability to work on technologically complex system with risk taking abilities, championing of new ideas and lead the product development from concepts to reality. In depth understanding of FPGA hardware design and verification for Aerospace Products Proficient in usage of DOORS for requirement management. Knowledge of PCB Layout guidelines to meet EMI/EMC tests, provides board layout guidelines to PCB designers. Board level and system level testing Experience. Designs innovative solutions to complex problems Ability to break-down activities in sub-tasks and milestones to adhere to timelines and to respect budget constraints. Work closely with cross-functional teams to ensure seamless integration of hardware components with other system parts, facilitating a cohesive and functional product. Should have excellent troubleshooting skills on electrical/electronic systems to find root cause and resolve the issues. Lead the evaluation, troubleshooting, and debugging of hardware prototypes. Identify the root causes of failures and implement corrective actions. Oversee the creation and maintenance of technical documentation. Release and sustain system board designs in TeamCenter. Experience in Electrical CAD tools (Pspice, Allegro, LTspice, Mathcad, Matlab-Simulink) Ability to Create and review the test reports from conducted test data of DO-160 Tests. Basic Qualifications: BE/BTech or Masters degree in Electrical or Electronics and Communications Engineering. 12 - 17 years of relevant industry experience with at least 6 years as an Electrical Engineer performing ED Analysis and Testing for DO160 certification (Static Timing Analysis, Stress, Power Summary, Signal Integrity and Power Integrity along with HW requirements management, HW verification and validation). Ability to interpret customer s requirement and estimate the work for the technical solution. Capability to lead the critical design reviews with global stakeholders and customer audits. Hands on experience with Lab tools and debugging (CRO, Signal generators, logic analyzer and environmental testing equipment s, code optimization, timing analysis, CPU loading, digital circuits, hardware software integration etc) Preferred Qualifications: Experience in DO254 and DO160 Certification process by supporting SOI 1 to SOI 4. Experience in FPGA/ASIC and Hardware design development. Able to create the Test Plans and Procedures for HW. Competencies Shall possess strong written and verbal communication skills in English Shall be able to coach/mentor the junior level professionals Shall be a very good listener & a very good team player Shall be curious to learn always, result oriented & forward looking Shall be able to work with a sense of urgency & under ambiguous conditions Shall possess high degree of ownership & accountability Shall be very good at analytical thinking and problem solving . The high-quality products we design, test and produce in our Advanced Structures business help millions of passengers reach their destinations safely - every day! From nacelles, landing systems, flight controls and actuation to propellers- the products we manufacture work together behind the scenes to enhance the overall flight experience. We delight our customers with superior products and best-in-class service. Our global team is committed to continuous improvement - we work hard to make our solutions lighter-weight, stronger and more technically advanced, so that plane travel can be safer, more affordable, and more sustainable in the years to come. We are looking for the best and brightest to fly and land with us! WE ARE REDEFINING AEROSPACE. Some of our competitive benefits package includes: Transportation facility. Meal coupons Group Term Life Insurance. Group Health Insurance. Group Personal Accident Insurance. Entitled for 18 days of vacation and 12 days of sick leave annually. Employee scholar program Work life balance Car lease program National Pension Scheme LTA Fuel & Maintenance /Driver wages Meal vouchers And more! Nothing matters more to Collins Aerospace than our strong ethical and safety commitments. As such, all India positions require a background check, which may include a drug screen. At Collins, the paths we pave together lead to limitless possibility. And the bonds we form - with our customers and with each other -- propel us all higher, again and again. Apply now and be part of the team that s redefining aerospace, every day .

Job Title Firmware and Controls Designer Job Description You have the opportunity to be part of an exciting team and contribute to the design, development and maintenance of Magnetic Resonance Imaging (MRI) systems. In this role of Firmware and Controls Designer , you are responsible for the development and maintenance of MR Hardware Subsystems/Components and will gain substantial knowledge of complex systems in medical imaging environment. Together with a multidisciplinary team of engineers, you play a crucial role in getting these systems/sub-systems to the required performance, by owning the design, development, testing, and maintenance of embedded systems and safety/mission critical embedded software and firmware, that control various functions of MRI sub-systems. This requires broad orientation, conceptual skills and a can do mentality, keeping abreast with all trends and advancements in technology and medical imaging. You are a part of Hardware Engineering Group under MRI Business, located at Philips Healthcare Innovation Centre (HIC) Pune. HIC is playing a key role in Philips global strategy for Diagnostic Imaging. With Philips HIC, the foundation was laid to touch billions of lives and reiterate Philips commitment towards healthcare growth markets You are responsible for : Requirements, design, implementation, test and integration of module/sub-system in accordance with the higher-level architectural requirements and design specifications Ensuring that the design is consistent with the higher-level architecture and requirements Ensuring that the proposed design would have the safety, reliability and quality features built-in Responsible for ensuring that the design meets the performance, quality and cost criteria Conduct concept and feasibility studies. Leads the introduction of new technologies Ensuring that there is proper documentation per standards for the developed design Ensuring the mutual consistency and efficient integration of the separate components in modular design that meets the product specification Ensuring that his design modules meet the product certification requirements Drawing up personal schedule and reports on progress Defining and assessing the Work Breakdown Structure/planning/costs of his/her area Being abreast of technical developments in own field through study of literature and technical contacts Mentoring/guiding/hand-holding young engineers in the team and helping them ramp-up well Maintaining product and company reputation by complying with country specific regulations To succeed in this role, you should have the following skills and experience: Completed engineering studies at University level; BE/BTech/ME/M-Tech in Electronics or Electrical Engineering, with 8 to 12 years of experience Experience in complete life-cycle management of embedded software, preferably for medical products Expert in C, C++ and other embedded programming languages Proficient in hardware description languages like VHDL, Verilog etc. Knowledge of Software Design Life Cycle (SDLC) Good knowledge of modern OS coding techniques, IP protocols and hardware interfaces Experience in 16/32-bit microcontroller-based design and programmable devices (FPGA/CPLD/SoC etc.) and their interface Knowledge of communication interfaces like RS232, RS485, CAN, EtherCAT, Ethernet and USB Hands-on experience in developing control software for close-loop systems in a mechatronics environment Hands-on experience in using simulation and implementation tools such as MATLAB and SIMULINK Solid knowledge of digital signal processing and control theory Excellent debugging skills - ability to understand and debug problems across hardware/software boundaries Experiences in real-time operating systems Experience in printed circuit board bring up and testing Knowledge of software tests and static code analyses Knowledge of firmware development environments such as IAR or Eclipse as well as version control systems like GIT Should have experience in DFMEA and design of Fail-Safe Systems and Sub Systems Experience in design of a communication gateway will be an added advantage. Knowledge of IEC 60601 standards will be an added advantage Knowledge of Global Medical Quality and Regulatory Standards e.g. IEC, FDA, UL, CE, CSA etc. Hands-on experience with tools like Agile, Clear-quest, Windchill or equivalent Disciplined team worker, ability to work independently Result oriented team player Ability to present and articulate ideas to key stakeholders and leadership team Excellent communication skills and Positive can do attitude Quality mindset in design and documentation Global and Cross-functional Experience/Skills in a Matrix Organization will be an added advantage. If you re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here .

: Job TitleDWS Risk Manager, AVP LocationBangalore, India Role description DWS Group (DWS) is one of the world's leading asset managers with some EUR of assets under management (as of 30 June 2022). Building on more than 60 years of experience, it has a reputation for excellence in Germany, Europe, the Americas and Asia. DWS is recognised by clients globally as a trusted source for integrated investment solutions, stability and innovation across a full spectrum of investment disciplines. We offer individuals and institutions access to our strong investment capabilities across all major asset classes and solutions aligned to growth trends. Our diverse expertise in Active, Passive and Alternatives asset management as well as our deep environmental, social and governance focus complement each other when creating targeted solutions for our clients. Our expertise and on-the-ground-knowledge of our economists, research analysts and investment professionals are brought together in one consistent global CIO View, which guides our investment approach strategically. The Risk platform is the independent risk oversight function of DWS. Model Risk is part of the Risk function and is designed to provide governance and control to manage a variety of models used in the Firm and associated risks. The Model Risk team works as a global organization with team members in New York, London and Frankfurt with a focus around validating, testing and overseeing the usage of models related to Corporate Risk (liquidity/economic capital) and Investment Risk for Liquid and Illiquid investment strategies. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities: Conducting model validations on the DWS models, both in-house and vendor models, based on regulatory guidance, internal policy and procedures and best industry practice and communicate findings and recommendations to model owners and prepare the model validation reports. Working closely with Investment teams on topics including model assumptions and limitations to ensure models remain fit for purpose. Carry out independent model reviews on complex topics in accordance with business needs and regulatory requirements. Review ongoing model monitoring reports, identify potential model risk and document the findings to key stakeholders while evaluating the corrective actions. Assist in building benchmark models used across the model validation team, design back testing or other methodologies to test the conceptual soundness of model assumptions. Your skills and experience: Previous quantitative risk management, model validation or model development experience from across the Investments, Consulting or Banking industry with sound experience of validating or developing valuation or risk models across asset classes such as FX, Rates and Equities Strong quantitative skills across programming languages such as R, SQL, C++, SAS, Python, MATLAB. Expertise in at least one of Python or C++ is essential. Good understanding of valuation methods, capital markets, portfolio theory and risk management Excellent verbal and written communications skills -- previous experience of writing either technical documentation related to model validation or development or independent peer-reviewed research articles. Educated to post-graduate degree level in a quantitative field such physics, mathematics, statistics, economics or engineering, or with relevant industry experience / professional qualification. How well support you . . About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We at DWS are committed to creating a diverse and inclusive workplace, one that embraces dialogue and diverse views, and treats everyone fairly to drive a high-performance culture. The value we create for our clients and investors is based on our ability to bring together various perspectives from all over the world and from different backgrounds. It is our experience that teams perform better and deliver improved outcomes when they are able to incorporate a wide range of perspectives. We call this #ConnectingTheDots.

General Application If you dont see any relevant open job on our career site which matches your skillset or career preferences, please submit you application to this prospect job post. This will help us to consider your application whenever there is a suitbale opening which matches your skillset and career preferences. PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog. Life at PhonePe PhonePe in the news

: In Scope of Position based Promotions (INTERNAL only) Job Title: Risk Reporting Specialist, AS LocationPune, India Role Description Market Valuation and Risk Management (MVRM) is responsible for managing market risk and ensuring fair value assessment of Books & Records within Deutsche Bank. The primary market risk objective is to ensure that business units of the bank optimize the risk-reward relationship and do not expose it to unacceptable losses. We work closely with risk takers, risk managers and control and support groups in the process to ensure these objectives can be met. Market Data Strategy and Analytics (MDSA) is a function within MVRM that is responsible and accountable for the procurement, analysis and governance of historical market data used as inputs in the key risk metric (eg Value at Risk, Economic Capital, Credit Counterparty Risk, Portfolio Stress Test). What well offer you : . 100% reimbursement under childcare assistance benefit (gender neutral). Sponsorship for Industry relevant certifications and education. . . Accident and Term life Insurance. Your Key Responsibilities Applying experience and subject matter expertise to perform RTB tasks such as VaR/SVaR impact analysis for both Hist Sim Sensi Based and Hist Sim Full Reval, continuous improvement of processes and coordination of changes in market data. Perform data quality checks to ensure the completeness and accuracy of EOD data / time series are at par to use for risk calculations. Take part actively in weekly Scenario Set generation for VaR/SVaR/Economic capital calculation and ensure Scenario sets are released within the cut-off time. Analyzing impacts of time-series changes on group level VaR/SVaR and ability to communicate/coordinate effectively to wider audiences. Liaising with Market risk managers, FO quant, change teams and Methodology to perform deep dives on data challenges in new market risk models/methodology changes/RNIV and implementation of new regulations such as FRTB and IHC examination. Actively take apart in proxy decision making and come up with appropriate proxy choices for a time- series. Perform Stressed-period-selection and analyze results for accuracy and reliability. Help specify requirements and test functionality for new feed set up, processes and ability to coordinate with Risk-IT for seamless implementation of new data requirements and process enhancements. Your skills and experience 3-5 years experience in investment banking, Market Risk, specifically in controlled production environments. Good knowledge of financial instruments and markets across all asset classes Strong analytical skills with basic knowledge of Numerical techniques and applied econometrics. Basic knowledge of Derivatives Pricing & Risk calculation, VaR, PFE Hands-on experience of using external data sources such as Bloomberg, MarkIT & Reuters. Basic knowledge in Web-based technology will be a plus. Programming skills in at least any one of C/C++, Java, Python, MatLab etc will be a plus. Education | Certification (Recommended) Engineering or bachelors degree in finance from an accredited college or university with excellent project experience and grades in quantitative and numerical coursework. Certification in Financial Risk Management will be a plus. Business Competencies Communication - Experienced Industry Knowledge - Experienced Risk Management Basic Innovation Basic Managing Complexity - Basic Technical Competencies Risk Management Experienced Financial Product Knowledge - Experienced How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

: Job Title:Trade Enabler, GFX Spot Voice, Associate LocationMumbai, India Role Description Deutsche Bank is the market leader in FX Spot (voice + electronic), both in terms of profitability and risk management sophistication. We trade all currencies, including G10, emerging markets and precious metals. We leverage the information contained in our franchise and the edge provided by our technology platforms to offer deeper liquidity and tighter spreads, and to extract value from the market. To complement our market making activities, there is a very strong quantitative emphasis to our risk taking, risk management and product offering. You will be working with FX Spot voice traders in London, New York and Tokyo-Sydney, working on ad hoc requests as well as long-term research projects. You will learn how traders price and manage spot risk, and you will come to understand liquidity and market microstructure. You will also get to work closely with Algos (electronic) FX Spot desk. You are likely to travel to London for business purposes. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Enhance data analytics to analyze patterns in client flow and market impact, using machine learning algorithms and statistics Enhancing logic of business controls and reporting, using historical data. Researching and optimizing existing suite of algorithmic execution algorithms and models, applying advanced market microstructure studies and algorithms Working with Algos desk to enhance our Spot offering Generate and back-test potential trade ideas Your skills and experience Team player with strong communication skills and attention to detail Intellectually curious, and ready to work under pressure Strong academic background with degree in Math / Engineering / Science / Stats etc. Strong quantitative and analytical skills Preference for candidates comfortable with Tableau and SQL. Experience in other programming languages such as VBA, Matlab, q/kdb, R or Python would be preferred. How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.ht We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

: In Scope of Position based Promotions (INTERNAL only) Job TitleSenior Risk Analyst, NCT LocationPune, India Role Description Market Valuation and Risk Management (MVRM) is responsible for managing market risk and ensuring fair value assessment of Books & Records within Deutsche Bank. The primary market risk objective is to ensure that business units of the bank optimize the risk-reward relationship and do not expose it to unacceptable losses. We work closely with risk takers, risk managers and control and support groups in the process to ensure these objectives can be met. Market Data Strategy and Analytics (MDSA) is a function within MVRM that is responsible and accountable for the procurement, analysis and governance of historical market data used as inputs in the key risk metric (eg Value at Risk, Economic Capital, Credit Counterparty Risk, Portfolio Stress Test). What well offer you : . 100% reimbursement under childcare assistance benefit (gender neutral). Sponsorship for Industry relevant certifications and education. . . Accident and Term life Insurance. Your Key Responsibilities Applying experience and subject matter expertise to perform RTB tasks such as VaR/SVaR impact analysis for both Hist Sim Sensi Based and Hist Sim Full Reval, continuous improvement of processes and coordination of changes in market data. Perform data quality checks to ensure the completeness and accuracy of EOD data / time series are at par to use for risk calculations. Take part actively in weekly Scenario Set generation for VaR/SVaR/Economic capital calculation and ensure Scenario sets are released within the cut-off time. Analyzing impacts of time-series changes on group level VaR/SVaR and ability to communicate/coordinate effectively to wider audiences. Liaising with Market risk managers, FO quant, Change teams and Methodology to perform deep dives on data challenges in new market risk models/methodology changes/RNIV and implementation of new regulations such as FRTB and IHC examination. Actively take apart in proxy decision making and come up with appropriate proxy choices for a time- series. Perform Stressed-period-selection and analyze results for accuracy and reliability. Help specify requirements and test functionality for new feed set up, processes and ability to coordinate with Risk-IT for seamless implementation of new data requirements and process enhancements. Your skills and experience 1-2 years experience in investment banking, Market Risk, specifically in controlled production environments. Good knowledge of financial instruments and markets across all asset classes Strong analytical skills with basic knowledge of Numerical techniques and applied econometrics. Basic knowledge of Derivatives Pricing & Risk calculation, VaR, PFE Hands-on experience of using external data sources such as Bloomberg, MarkIT & Reuters. Basic knowledge in Web-based technology will be a plus. Programming skills in at least any one of C/C++, Java, Python, MatLab etc will be a plus. Education | Certification (Recommended): Engineering or bachelors degree in finance from an accredited college or university with excellent project experience and grades in quantitative and numerical coursework. Certification in Financial Risk Management will be a plus. Business Competencies: Communication - Experienced Industry Knowledge - Experienced Risk Management Basic Innovation Basic Managing Complexity - Basic Technical Competencies: Risk Management Experienced Financial Product Knowledge - Experienced How well support you

: Job TitleDivisional Risk and Control Senior Analyst LocationMumbai, India Corporate TitleAVP Role Description You will be joining the Control Assurance and Risk Identification Team in the Investment Banks Divisional Controls Office (DCO). DCO is responsible for the global control environment across IB and is closely aligned with the business, providing central oversight for Front Office (FO) control framework activities, including design, implementation, ongoing assurance/validation of key FO owned controls. The purpose of the Team is to provide the Investment Bank (IB) with assurance that the Non-Financial Risk control framework is effective. The Team is responsible for testing the design and operating effectiveness of IB Front Office (FO) owned key controls and executing detection tests to stress test the operating effectiveness of key controls. They are also responsible for running scenario analysis workshops and Emerging Risk Forums either to explore potential Non-Financial Risk threats or to stress test the control environment; and performing quality assurance (QA) on Governance Fora. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Perform Quality Assurance on design of Key Controls prior to Control Design Authority (CDA) Forum, by assessing whether the proposed control designs effectively mitigate the risk on a sustainable basis Assess whether a control needs to be brought to CDA for approval Guide Finding/Control Owners as to what an effective and sustainable control entails Provide advice and training on control design principles Your skills and experience Strong understanding of control design principles and Non-Financial Risk. Experience in Audit, Controls Testing, Assurance, or the Business Control Unit with indepth knowledge of IB products Effective communicator, who can write concisely, present effectively, and manage and influence senior stakeholders Proactive and delivery focused with the ability to work in a fast-paced environment with tight deadlines Structured and meticulous with strong analytical and problem-solving skills Proficiency in all Microsoft Office Applications How well support you

Roles & Responsibilities : Good analytical skills in identifying issues related to Plant model and Control software Experience in usage of tool chain like Matlab/Simulink Good understanding of communication protocols like CAN, LIN , FlexRay/ Automotive Ethernet Understanding of the HiL and SiL E/E Network design processes Troubleshooting issues quickly and supporting the team to identify the root cause Works as a fully contributing team member with independent planning & execution responsibilities Applies own judgement to independently determine a course of action, which is then executed independently post review

Intelligence Monitoring & Analysis Continuously monitor open-source intelligence, government alerts, and proprietary data feeds. Using AI models and helping to develop and implement new AI solutions for tactical intelligence analysis. Identify early indicators of potential crises (e.g., political unrest, cyber threats, natural disasters, pandemics). Produce regular intelligence briefingsfor your region. Crisis Preparedness & Response Ensure regional crisis management procedures are up to date and aligned with global standards. Maintaincrisis management tools/applications,and regularly test crisis playbooks and escalation protocols. Lead or support crisis response efforts, ensuring timely communication and coordination with stakeholders. Stakeholder Coordination Act as the primary liaison between regional teams and the global crisis& intelligencemanagement office. Facilitate training, tabletop exercises, and after-action reviews with local teams. Build strong relationships withgeo teams,local authorities, NGOs, and industry partners. Documentation & Reporting Maintain detailed logs of intelligence assessments, crisis events, and response actions. Provide post-incident reports and lessons learned and assist in developing contingency playbooks and planning to improve future preparedness. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong understanding of regional political, social, and security dynamics. Excellent communication,interpersonal,analytical, and decision-making skills. Proficiency in using intelligence and data analysis tools. Fluency in English and relevant regional languages is a plus as you will need to engage with a large global team from range of different cultures and backgrounds Preferred technical and professional experience Bachelor’s or Master’s degree in International Relations, Security Management, Emergency Management, or related field preferred. 5+ years of relevant experience in intelligence analysis, crisis management, and/or emergency response.

Want to join the Earth s most customer centric company? Do you like to dive deep to understand problems? Are you someone who likes to challenge Status Quo? Do you strive to excel at goals assigned to you? If yes, we have opportunities for you. Global Operations Artificial Intelligence (GO-AI) at Amazon is looking to hire candidates who can excel in a fast-paced dynamic environment. Are you somebody that likes to use and analyze big data to drive business decisions? Do you enjoy converting data into insights that will be used to enhance customer decisions worldwide for business leaders? Do you want to be part of the data team which measures the pulse of innovative machine vision-based projects? If your answer is yes, join our team. GO-AI is looking for a motivated individual with strong skills and experience in resource utilization planning, process optimization and execution of scalable and robust operational mechanisms, to join the GO-AI Ops DnA team. In this position you will be responsible for supporting our sites to build solutions for the rapidly expanding GO-AI team. The role requires the ability to work with a variety of key stakeholders across job functions with multiple sites. We are looking for an entrepreneurial and analytical program manager, who is passionate about their work, understands how to manage service levels across multiple skills/programs, and who is willing to move fast and experiment often. Ability to maintain and refine straightforward ETL and write secure, stable, testable, maintainable code with minimal defects and automate manual processes. Proficiency in one or more industry analytics visualization tools (e.g. Excel, Tableau/Quicksight/PowerBI) and, as needed, statistical methods (e.g. t-test, Chi-squared) to deliver actionable insights to stakeholders. Building and owning small to mid-size BI solutions with high accuracy and on time delivery using data sets, queries, reports, dashboards, analyses or components of larger solutions to answer straightforward business questions with data incorporating business intelligence best practices, data management fundamentals, and analysis principles. Good understanding of the relevant data lineage: including sources of data; how metrics are aggregated; and how the resulting business intelligence is consumed, interpreted and acted upon by the business where the end product enables effective, data-driven business decisions. Having high responsibility for the code, queries, reports and analyses that are inherited or produced and having analyses and code reviewed periodically. Effective partnering with peer BIEs and others in your team to troubleshoot, research root causes, propose solutions, by either take ownership for their resolution or ensure a clear hand-off to the right owner. About the team The Global Operations Artificial Intelligence (GO-AI) team is an initiative, which remotely handles exceptions in the Amazon Robotic Fulfillment Centers Globally. GO-AI seeks to complement automated vision based decision-making technologies by providing remote human support for the subset of tasks which require higher cognitive ability and cannot be processed through automated decision making with high confidence. This team provides end-to-end solutions through inbuilt competencies of Operations and strong central specialized teams to deliver programs at Amazon scale. It is operating multiple programs and other new initiatives in partnership with global technology and operations teams. 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Description When you attract people who have the DNA of pioneers and the DNA of explorers, you build a company of like-minded people who want to invent. And that’s what they think about when they get up in the morning: how are we going to work backwards from customers and build a great service or a great product” – Jeff Bezos Amazon.com’s success is built on a foundation of customer obsession. Have you ever thought about what it takes to successfully deliver millions of packages to Amazon customers seamlessly every day like a clock work? In order to make that happen, behind those millions of packages, billions of decision gets made by machines and humans. What is the accuracy of customer provided address? Do we know exact location of the address on Map? Is there a safe place? Can we make unattended delivery? Would signature be required? If the address is commercial property? Do we know open business hours of the address? What if customer is not home? Is there an alternate delivery address? Does customer have any special preference? What are other addresses that also have packages to be delivered on the same day? Are we optimizing delivery associate’s route? Does delivery associate know locality well enough? Is there an access code to get inside building? And the list simply goes on. At the core of all of it lies quality of underlying data that can help make those decisions in time. The person in this role will be a strong influencer who will ensure goal alignment with Technology, Operations, and Finance teams. This role will serve as the face of the organization to global stakeholders. This position requires a results-oriented, high-energy, dynamic individual with both stamina and mental quickness to be able to work and thrive in a fast-paced, high-growth global organization. Excellent communication skills and executive presence to get in front of VPs and SVPs across Amazon will be imperative. Key Strategic Objectives: Amazon is seeking an experienced leader to own the vision for quality improvement through global address management programs. As a Business Intelligence Engineer of Amazon last mile quality team, you will be responsible for shaping the strategy and direction of customer-facing products that are core to the customer experience. As a key member of the last mile leadership team, you will continually raise the bar on both quality and performance. You will bring innovation, a strategic perspective, a passionate voice, and an ability to prioritize and execute on a fast-moving set of priorities, competitive pressures, and operational initiatives. You will partner closely with product and technology teams to define and build innovative and delightful experiences for customers. You must be highly analytical, able to work extremely effectively in a matrix organization, and have the ability to break complex problems down into steps that drive product development at Amazon speed. You will set the tempo for defect reduction through continuous improvement and drive accountability across multiple business units in order to deliver large scale high visibility/ high impact projects. You will lead by example to be just as passionate about operational performance and predictability as you will be about all other aspects of customer experience. The successful candidate will be able to: - Effectively manage customer expectations and resolve conflicts that balance client and company needs. Develop process to effectively maintain and disseminate project information to stakeholders. Be successful in a delivery focused environment and determining the right processes to make the team successful. This opportunity requires excellent technical, problem solving, and communication skills. The candidate is not just a policy maker/spokesperson but drives to get things done. Possess superior analytical abilities and judgment. Use quantitative and qualitative data to prioritize and influence, show creativity, experimentation and innovation, and drive projects with urgency in this fast-paced environment. Partner with key stakeholders to develop the vision and strategy for customer experience on our platforms. Influence product roadmaps based on this strategy along with your teams. Support the scalable growth of the company by developing and enabling the success of the Operations leadership team. Serve as a role model for Amazon Leadership Principles inside and outside the organization Actively seek to implement and distribute best practices across the operation Basic Qualifications 7+ years of business intelligence and analytics experience 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience Experience with SQL Experience with ETL Experience with data visualization using Tableau, Quicksight, or similar tools Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software Preferred Qualifications 4+ years of working with very large data warehousing environment experience 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A2995456

Very good knowledge on Automotive FuSa Domain with hands on expertise in ISO26262 Hand on experience on FMEA, FTA & HARA Development experience with Debugging on C++