2917 Matlab Jobs - Page 19

FSW Team lead for MATLAB/Simulink Embedded Software SW Developer designs, implements, develops source code and tests the SW units within a SW project. SW Developer integrates the SW Units / SW Components and ensures inter-operability between them. Your Key Responsibilities Detailed design, coding and unit testing of specific SW Components in accordance to the BU processes and conventions. Define the Requirements for the SW Function Design. Structure the SW Function Design. Design the SW Function Design in SDA. Code your Design Auto Code or in case there is a valid reason do it hand code. Perform development checks, reviews (e.g. design, code) & static code analysis. Perform SW units integration, Integrate the SW Code in corresponding repository under the valid integration rules and KPIs. Perform SW Integration Test to verify SW architecture specification (acting as SW Integration Tester). Test Verify your design before at Design level and after Integration (Integration level) by your own. Reuse and adaptation of existing SW Components or modules. Debug and root cause of reported issues of software module or component scope. Correction of anomalies as defined in the Problem Resolution process. Proactive communication of e.g. delays, possible risks, problems during development. Delivery of the committed work package results within the planned time, effort and quality. Your Qualifications Degree in Engineering or masters in electrical engineering, Electronics & Communication mechatronics, mechanical engineering or an equivalent major. Total 4 to 9 years of experience in the automotive industry or a comparable field, with direct customer engagement. Get access rights to input work products, tools and infrastructure necessary to perform the assigned tasks, especially to the development/compiler toolchain, the CM/ChM System for this project inclusive access to related SW requirements, to the generic libraries or previous projects for re-use and also debugger, sample ECU or PCB with measuring equipment. Initiate / raise issues due to incorrect requirements, inconsistent architecture, erroneous or unreliable 3rd party software, etc. Initiate / raise issues on major insufficiencies within the development tool chain. Approving of SW Integration and SW Integration Test per SW Component.

Position : Senior Engineer – Biomedical Signal Processing Experience : 4+ years Location : Hybrid (Bengaluru) About the Role Require Senior engineer for signal processing innovation for next-gen healthcare. As Principal Engineer, you’ll guide a team working on ECG, EEG, PPG, and motion data—building and deploying traditional and AI-powered solutions for real-world impact. Key Responsibilities Lead development of signal pipelines (denoising, feature extraction) for biomedical time-series. Design, train, and deploy ML/DL models for classification/regression. Optimize code (MATLAB/Python) for server/cloud and edge deployment. Apply classical DSP techniques and deep learning methods (CNNs/RNNs). Mentor team members and support MVP/product delivery. Requirements 4+ years in biomedical signal processing (ECG, EEG, etc.) is must. Strong in feature engineering, ML/DL modeling, and deployment. Proficient in Python or MATLAB, with code optimization skills. Familiar with wavelets, adaptive filters, and deep learning frameworks. Bonus: Experience with MATLAB toolboxes, TensorFlow, or PyTorch. Why Join Us Lead impactful work improving patient outcomes. Hybrid flexibility + supportive culture. Competitive compensation, learning perks, and growth opportunities.

Process engg of fine chemical organic synthesis in a batch process, continuous fixed bed catalysis, dynamic adsorption & separation process. To lead, establish Tech Transfer from R&D to Production for commercial purposes to improve process efficiency

Inertia Labs is a Deep-tech startup revolutionizing the E-Mobility & Energy sectors with our innovative Cleantech Electric Motor Technology. We’re looking for enthusiastic and talented interns to join our team and contribute to cutting-edge projects. Important Note: If you can travel to Thane (West) every day, then only apply. Mechanical Engineering Intern Responsibilities: Contribute to the design, fabrication, and assembly of prototype electric motor components. Leverage a deep understanding of mechanical engineering principles to solve complex design challenges. Procure materials and components for projects, utilizing negotiation skills to establish favorable terms with suppliers and vendors. Conduct thorough research and analysis to identify potential improvement areas in existing products, suggesting modifications and enhancements to optimize performance. Assist in creating and maintaining technical documentation, including design files, production specifications, and assembly instructions. Qualifications: Bachelor’s degree in Mechanical Engineering or a related field (pursuing or recently completed). Experience in designing, modeling, and drafting using industry-standard CAD software. Strong theoretical foundation in mechanical engineering principles (thermodynamics, fluid mechanics, etc.). Knowledge of simulation tools and the ability to interpret simulation results (FEA, CFD). Familiarity with production processes and manufacturing techniques. Electrical Engineering Intern Responsibilities: Assist in the design, simulation, and testing of electrical components and systems for electric motors. Develop and implement control algorithms for motor performance optimization. Work with power electronics, including inverters and converters. Conduct research and analysis on new electrical technologies and components. Create and maintain technical documentation, including schematics, wiring diagrams, and test reports. Qualifications: Bachelor’s degree in Electrical Engineering or a related field (pursuing or recently completed). Familiarity with circuit design, simulation software (e.g., MATLAB/Simulink, SPICE). Understanding of power electronics and motor control principles. Experience with electrical testing and measurement equipment. Basic programming skills (e.g., Python, C++) for data analysis and control systems. General Information (For Both Positions): Experience: 0-1 year Position: Engineering Intern (Mechanical or Electrical, please specify in your application) Duration: 3 months Location: Thane (West) If the link is closed or unable to apply for internship kindly send your resume on following email address, career@inertialabs.in

Role & Responsibilities Architect fully fault-tolerant, scalable quantum processors by crafting blueprints and error-correction strategies for next-generation devices, including patentable IP. Design, simulate and benchmark surface, LDPC and bosonic codes on noise-biased hardware; iterate solutions with cryo-control and fabrication teams. Build numerical tool-chains in Python/QuTiP/Qiskit to model error propagation, mitigation and gate-fidelity limits , delivering data-driven design insights. Prototype dynamical-decoupling and error-mitigation schemes that extend coherence and enable bias-preserving logical gates. Publish peer-reviewed papers, file patents and author internal DoE reports that steer roadmap and funding decisions. Champion rigorous peer reviews, mentor junior researchers and foster cross-functional knowledge-sharing. Skills & Qualifications Must-Have PhD/MS in Physics, Mathematics, Computer Science or allied field with a quantum focus. 3 + years designing quantum error-correction codes (surface, LDPC) and fault-tolerant architectures. Proficiency in Python, MATLAB and quantum-software stacks for large-scale simulations and data analysis. Hands-on experience with dynamical decoupling/error-mitigation techniques on experimental platforms. Strong record of peer-reviewed publications and successful research projects. Excellent problem-solving, communication and collaborative skills. Preferred Familiarity with noise-biased bosonic codes and autonomous error-correction methods. Experience writing DoE and experimental-improvement reports to guide hardware trials. Background in cryogenic control electronics, RF instrumentation or superconducting-qubit fabrication. Proven patent filings or open-source contributions in quantum technology. Exposure to GPU-accelerated simulators or distributed-computing workflows for quantum modelling. Engagement with industry consortia or standards bodies advancing quantum-error-correction research

1. Required: GitHub and GitHub Actions Knowledge 2. Required: DevOps concepts and tools, to participate in MBD CI solutions with MathWorks, IT, DevOps Architects. 3. Required: MathWorks Ecosystem Knowledge: o Matlab Scripting, Parallel Toolbox, Simulink, Simulink Test, Embedded Coder, Other related tools DESIRED SKILLS : 1. Good Communication Skills: o Cross-functional interaction with DevOps, IT, MBD Chiefs, and Adaptor projects. 2. Light Understanding: Embedded Systems: o Development life cycle, c, Power Control Systems

Company Profile Mor g an Sta n ley is a lea d ing global fi n anc i al s e rv ic es firm prov i ding a wide ran g e of invest m ent ba n king, s e c u rit i es, inv e st m ent m anage m ent and w e alth m anage m ent serv i c e s . T h e Fir m 's e m ploye e s s e rve clien t s w o rldwi d e inc l u d ing corp o ratio n s , govern m en t s and ind i vid u a l s from m ore than 1,2 0 0 offic e s in 43 co u ntries . As a m arket lead e r, the talent and p a ss i on of our p eo ple is c r itical to our s u cc es s. Togeth e r, we share a co mm on set of val u es r o ot e d in i ntegri t y, excel l e n ce and str o ng team ethic. Mor g an Sta n ley c a n p r o v i de a sup e ri o r fo u ndation for building a pr ofessio n al c a re e r - a pl ac e for p e ople to lea r n, to a c hi e v e and g row. A p hil o sop h y that ba l ances pers on a l lifestyl e s, persp e c tives a nd nee d s is an im portant part of our cult u r e . Department Profile From global institutions to hedge funds, investors come to Morgan Stanley for sales, trading, and market-making services in almost every type of financial instrument in all the world’s financial markets. Morgan Stanley professionals use our network and technology to provide liquidity and sophisticated analysis, to manage risk and execute reliably in the fast-changing markets. Morgan Stanley’s Institutional Equity Division (IED) is a world leader in the origination, distribution and trading of equity, equity-linked and equity-derivative securities. Our broad and deep client relationships, market-leading platform and intellectual insights enable us to be a world-class service provider to our clients for their financing, market access and portfolio management needs. Global Markets Group is the offshoring arm of Morgan Stanley’s Sales & Trading businesses in India. It covers functions within IED ranging from those associated with sales, trading, analytics, strats to risk management. Primary Responsibilities We are looking for proactive, self-starting individual to be part of our India team working with HK Financial Engineering team. This is a challenging role and offering exposure to an interesting, dynamic product group and work environment to build your career in. Responsibilities For This Role Would Involve Pricing of complex derivatives products including autocallables, light exo and bespoke hedging solutions. Preparing scenario analysis and historical performance backtesting for potential trades for better engagements Pre-quote analysis on new underlyings and testing of hedging robustness for slippages control Developing pricing models for non-approved payoffs for indicative pricings Marketing material (products backtests and pricing) update Regular communication with wider teams including Trading, Strats and Sales. Skills Required (essential) 4+ years of relevant working experience Degree with a quantitative discipline (BE, BTech in Computer Science, MS in Maths/Statistics/ FE) from Tier 1 & 2 institutes. Progress towards CFA would be preferred. Knowledge of programming languages such as Python, VBA, R or Matlab and ability to work with financial data Strong knowledge in Equity Derivatives, exotic equity linked structured note products & Option Greeks Strong inter-personal / communication skills. Strong attention to detail Drive and desire to work in an intense team-oriented environment. In addition, the candidate should have theoretical or practical understanding of - Option Greeks and their behavior over time Derivative products like Swaps, Swaptions, Spread Options, Cap/Floors, range accruals, Digitals etc. General behavior of Equity Derivatives markets – Flow and Structured Products Shift Asia 5am What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Responsible for complete Engine/transmission control software calibration and validation Lead the system DFMEA/FTA activity experience of tools like INCA/ VISU/ Canoe/ Matlab/ ETAS tools CAN protocols, UDS services, IVN and diagnostics Required Candidate profile CAN protocols, UDS services, IVN Good Communication Skills Should be hands on experience Calibration in Petrol, CNG, Gasoline Hybrids / AMT / DCT/ EV’s, BS6

Sr Data Scientist Job Summary Responsibilities: Help design and build the next iteration of process automation in 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 the areas of data mining, machine learning, statistics, and predictive analysis and modeling. Requirements: 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 5 years related, professional experience. Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. We 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 MLOps will be preferred. 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 Java and Scala Development experience with Docker Development experience with GIS data Development experience with NoSQL (i.e. DynamoDB) Knowledge of GPU programming (CUDA or OpenCL) on GPU accelerator architecture

Must have experience safety and diagnosis calibration domain diagnostic tools and software (CANalyzer, Diagnostic Link, INCA), functional safety standards (ISO 26262) safety analysis techniques (FMEA, FTA), ECUs,, diagnostic protocols ( OBD-II, UDS). Required Candidate profile Min 8 years of experience in Powertrain (engine or transmission) safety and diagnosis calibration domain Min 2 year of experience to manage complete project delivery. Should be BE/B Tech /ME/ M. Tech

In-depth knowledge of Transmission, Engine Experience of tools like INCA/ VISU/Canoe, Matlab, ETAS tools Knowledge of vehicle integration, vehicle level functions, usage of PC, automation tool CAN protocols, UDS services, IVN, ECU, TCU , diagnostics Required Candidate profile Candidates must have experience in R&D of Calibration (Engine & Transmission/ Powertrain) for IC Engine, Gasoline, LPG, Petrol, CNG engines Min experience 4+ Yrs in relevant Industry

The task is to develop the Safety concepts for these safety-related system functions for MCUs. Create hazard assessment and risk analysis (HARA). Perform IP, SoC, DFEMA. Develop FuSa Level3 software for MCU. System knowledge ASIL B, C or D system. Required Candidate profile SEOOC(Safety Element Out of Context), FFI (Freedom From Interference) FIT(Failure Intime) Rate Functional Safety Certified – Level 1 / Level 2 / Level 3

About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together . What role you will play in our team We are looking for production engineers in the oil and gas industry to support ExxonMobil’s global portfolio of Deepwater, Conventional, Unconventional & Heavy Oil assets. What you will do Lead/collaborate with engineers and operators on global teams to analyze well/field performance and advise on production optimization Lead/collaborate with cross disciplinary team of reservoir, facilities, wells, and operations engineers to identify and execute opportunities for production debottlenecking, operations schedule optimization Champion effective production optimization by proactively engaging with stakeholders to address challenges, deliver solutions and process improvements Lead/support periodic assessments of field production system health to identify optimization opportunities Lead/support operator teams for operations schedule optimization, reinstate offline volumes, capacity enhancement, production planning, and downtime optimization Develop, deploy, sustain and apply technologies for oilfield production optimization using data-driven or physics-based methods Conduct screening economic evaluations of well intervention and stimulation operations Manage production data, measurement and allocation quality assurance Influence prioritization and support enhancement of proprietary production engineering technology Develop technical capabilities of team members through training and mentoring About You Skills and Qualifications Bachelor’s or Master’s degree from a recognized university in petroleum /chemical/ mechanical/other relevant engineering disciplines with minimum GPA 7.0 Minimum 8 years of experience in Production Engineer field Experience in leading teams and working in cross-disciplinary projects Experience in production surveillance, troubleshooting and optimization of well and field performance Strong Knowledge of basic concepts including: Inflow/outflow/flowline modeling Production well testing and allocation principles Network modeling and facilities operations Well design, completion, and stimulation technologies Artificial lift methods and systems Reservoir surveillance Strong problem solving and analytical skills to evaluate critical operating parameters through data and trend analysis Preferred Qualifications / Experience Experience with programming/scripting languages (e.g. Python, Matlab, C#) Experience with data visualization software (e.g. Power BI, SeeQ, XHQ) Experience in Production database management (e.g. Energy Components, PI, SQL) Experience with Agile development practices Experience with Azure Cloud and Databricks Experience with digital oil field tools and workflows Experience in any of the roles; Reservoir surveillance, Well intervention and Operation support Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines. Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India . Follow us on LinkedIn and ExxonMobil (@exxonmobil) • Instagram photos and videos Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

Requisition ID: 8238 Bangalore, India Our mission at Enphase Energy is to advance a sustainable future for all. Today, our intelligent microinverters, which turn sunlight into an affordable, safe, reliable, and scalable source of energy, work with virtually every solar panel made, and when paired with our award-winning smart battery technology, we engineer one of the industry's best-performing clean energy systems. To date, we have installed more than 48 million microinverters on more than 2.5 million systems across 140 countries and well over 50 thousand homes use our energy storage products. Like our customers, our innovative teams are also worldwide, making Enphase Energy a truly global company. We are one of the fastest growing and most dynamic energy companies in the world. Nimble and acutely focused on developing ground-breaking solar energy management technology, each of our teams has a shared goal of creating a carbon-free future. Do you want to help change the world? Learn more about the role: For our Customer Experience team, we seek Hands-On Staff Data Scientist who can work on designing & implementing high quality scalable optimization-based applications and platforms, while providing technical leadership and mentoring to a small team of talented developers in agile environment. Your ability to take ownership of architecture, design, and implementation of maintainable, high-quality, and high-performing Machine Learning systems and Optimization applications is essential for success in this role. Provide hands-on technical expertise to design, engineer, deploy, and deliver highly scalable optimization-based applications. Drive improvements in technical architecture, standards, and processes. Drive engineering excellence while managing/mentoring talented team of developers in agile environment. Work closely with product management and other stakeholders for system design and delivery. Job Description: As an Optimization and AI/ML Expert, you will be responsible for developing and implementing advanced machine learning models, optimization algorithms, and analytical tools. You will leverage your expertise to solve complex business problems by using data-driven approaches and predictive modelling techniques. The ideal candidate will have a strong background in AI/ML, optimization, Electrical Engineering domain and applied mathematics, with a passion for designing efficient solutions to tackle large-scale, real-world challenges. Responsibilities: Optimization & AI/ML Model Development : Design, develop, and implement AI/ML models and optimization algorithms to address business challenges and improve decision-making. Data Analysis & Feature Engineering : Work with large datasets to preprocess, analyze, and engineer features for model development. Ensure data quality and integrity. Performance Improvement : Apply optimization techniques (e.g., linear programming, constraint programming, heuristic algorithms) to optimize business operations, resource allocation, and other key processes. Collaboration & Problem-Solving : Collaborate with cross-functional teams, including data engineers, business analysts, and domain experts, to identify problems and translate them into solvable AI/ML models. Research & Innovation : Stay updated on the latest trends in optimization, machine learning, and AI research. Evaluate and apply emerging technologies and techniques to enhance system performance. Model Evaluation & Tuning : Conduct model evaluation using appropriate metrics, tune hyperparameters, and ensure that models perform optimally in production environments. Documentation & Reporting : Document the methodology, processes, and results of AI/ML projects. Communicate findings to stakeholders and contribute to technical reports or presentations. Deployment & Monitoring : Work with engineering teams to deploy AI/ML models into production. Monitor model performance and provide ongoing support for scalability and robustness. Required Skills & Qualifications: Experience : 5-10 years of experience in Electrical engineering with specialization in AI/ML, optimization, and data science with a proven track record of applying these skills to real-world business challenges. Strong Analytical Skills : Expertise in quantitative analysis, applied mathematics, and optimization algorithms (e.g., integer programming, dynamic programming, convex optimization). Proficiency in Programming : Strong programming skills in Python, R, and/or MATLAB. Experience with libraries like TensorFlow, PyTorch, Scikit-learn, or similar. Machine Learning Expertise : Deep understanding of supervised and unsupervised learning, reinforcement learning, and model validation techniques. Familiarity with deep learning and neural networks is a plus. Optimization Knowledge : Solid knowledge of optimization techniques for solving complex resource allocation, scheduling, or routing problems. Data Handling & Analysis : Experience with big data technologies (Hadoop, Spark), data preprocessing, and feature engineering techniques. Problem-Solving Mindset : Ability to translate business problems into mathematical models and find creative solutions. Communication Skills : Strong written and verbal communication skills to effectively convey technical concepts to non-technical stakeholders. Advanced Degree : A Master's or Ph.D. in Computer Science, Mathematics, Engineering, Operations Research, or a related field is highly desirable. Preferred Qualifications: Experience in the deployment and scaling of AI/ML models in production environments. Knowledge of cloud platforms such as AWS, Google Cloud, or Azure. Familiarity with optimization software/tools like Gurobi, CPLEX, or other commercial solvers. Experience with reinforcement learning and optimization in dynamic or uncertain environments.

Requisition ID: 8351 Bangalore, India Sr.Staff Engineer – System Engineering Enphase Energy is a global energy technology company and a leading provider of solar, battery, and electric vehicle charging products. Founded in 2006, our innovative microinverter technology revolutionized solar power, making it a safer, more reliable, and scalable energy source. Today, the Enphase Energy System enables users to make, use, save, and sell their own power. Enphase is also one of the most successful and innovative clean energy companies in the world, with more than 80 million products shipped across 160 countries. Join our dynamic teams designing and developing next-gen energy technologies and help drive a sustainable future! We are looking for Electrical Engineering graduates at ME/MTech or Ph.D. level. We are looking for candidates those have hands-on when it comes to working with or creating electrical / electronic systems. This includes being familiar with both HW and FW. As a Systems Engineer , the successful candidate will be part of the systems engineering team that team is responsible for defining, integrating, and testing the systems behaviour for Enphase’s energy management solution. Enphase’s energy management system consists of our own Solar Inverters, Lithium Ion based energy storage, Homeowner application/monitoring web and Mobile tools, Mobile commissioning tool etc., Key Responsibilities : Energy Management system design and development, design verification, debugging and troubleshooting the design issues, project execution, releasing the design through Alpha, Beta and then to the Market. Energy management system architecture, modelling and simulating the different sub systems of Enphase’s energy management system. Derive system design requirements from Marketing requirement documents. Perform grid code compliance studies (Steady state, transients, power quality) for grid tied and grid agnostic systems. Perform Failure Analysis, troubleshoot and identify the root cause of complex system level issues with no supervision. Guide commissioning tool development. Reproduce Field failures in the lab for identifying the root cause, work with cross functional team to identify right solutions to the issue. Identify continuous improvements in the design to improve customer experience and reliability of the system Collaboratively work with all stakeholders to design and develop HW, FW and SW for the Energy storage system. Review HW, FW, Mechanical, SW design of Energy storage system products. Mentor and train the Junior Engineers in the team. Credentials ME/MTech or PhD in electrical engineering with 10+ years of experience in Power Electronics or power system design. Hands-on experience with electrical and electronics systems. Good understanding of basic electrical engineering concepts, including circuit theory and power systems Excellent communication skills. Analytical, decision making and leadership skills Ability to work effectively and collaboratively with cross functional teams. Desire and passion to change the world. Desired experience Familiar with energy storage, microgrid and renewable energy systems Experience in Modelling and simulation of Power Electronics or power system components Experience in MATLAB Simulink modelling, integration, and debug skills Experience in Frequency Domain analysis, such as bode, Nyquist Plots and Time domain analysis. Good in understanding and analysing the complex controls algorithms, also Root cause analysis for unstable systems. Experience in Inverter, Power Electronic circuits design. Hands on experience with wired and wireless communication protocols Experience in Inverter, UPS, Power Electronic circuits design and troubleshooting. Hands-on Experience in handling the lab electronic equipment. Knowledge in Lithium Ion based Energy storage systems, Battery management system. Experience in grid tied inverter validation and advance grid profile functions.

- 3+ 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 Come build the future of smart security with us. Are you interested in helping shape the future of devices and services designed to keep people close to what’s important? About Ring Since its founding in 2013, Ring has been on a mission to make neighborhoods safer. From the first-ever video doorbell, to the award-winning DIY Ring Alarm system, Ring’s smart home security product line, as well as the Neighbors app, offer users affordable whole-home and neighborhood security. At Ring, we are committed to making home and neighborhood security accessible and effective for everyone -- while working hard to bring communities together. Ring is an Amazon company. For more information, visit www.ring.com. With Ring, you’re always home. Ring is looking for an insightful and analytical Business Intelligence Engineer with strong business and technical skills to join our Business Intelligence team. In this role, you will partner with product management, engineering, quality assurance and other BI teams that power Ring. Your work will be instrumental to achieving its mission, be highly visible to Ring / Amazon leadership, and will drive key strategic company goals. The Business Intelligence Engineer, Ring Decision Sciences Platform BI team will develop models and tools, conduct statistical analyses, evaluate large data sets, and create tailored models and dashboards. Additionally, you will be instrumental in the creation of a reliable and scalable infrastructure for ongoing reporting and analytics. You will be structuring ambiguous problems and designing analytics across various disciplines, resulting in actionable recommendations ranging from strategic planning, product strategy/launches, and engineering improvements to marketing campaign optimization, customer servicing trending, and competitive research. Key job responsibilities * Enable decision-making by retrieving and aggregating data from multiple sources to present it in a digestible and actionable format * Work with the ios and Android development and product teams to identify gaps and trends. * Analyze large data sets using a variety of database query and visualization tools * Provide technical expertise in extracting, integrating, and analyzing critical data * Anticipate, identify, structure, and solve critical problems * Design and develop key performance metrics and indicators using standardized and custom reports * Perform ad hoc analysis to quickly solve time sensitive operational issues and business cases. * Clearly communicate any potential data discrepancies and/or reporting downtime, including specific root cause, steps to resolution, and resolution date to a large end-user base * Partner with subject matter experts to document and translate business requirements into technical requirements * Manage multiple projects and proactively communicates issues, priorities, and objectives * Clearly communicate any potential data discrepancies and/or reporting downtime, including specific root cause, steps to resolution, and resolution date to a large end-user base * Partner with BI architects to provide valuable inputs to remodel the existing data warehouse. A day in the life As you lead the Business Intelligence Engineering (BIE) efforts for an upcoming device launch, your day involves collaborating closely with Product, Program, Firmware, and various other engineering teams. Having already identified the key signals to analyze device performance based on feature sets, you spend time aligning on proper definitions to analyze these features, meeting with engineering teams to instrument appropriate signals, maintaining data pipelines, and refining comprehensive dashboards. Throughout the day, you monitor platform performance while advancing initiatives to improve Ring's analytics through AI workflow implementation. About the team The Ring Decision Sciences Platform is responsible for the data strategy, architecture, governance, science, and software services Ring teams use to inform business strategy or power experiences with data. The central Data Science and Analytics team (within Decision Sciences and the team where this role is based) is responsible for core business metrics, shared data models, AI/ML models, business intelligence dashboards, and business analysis/science support. 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 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.

Medical Signal Processing Software Engineer Location: Chennai, India Job Type: Full-Time Experience Level: 7–10 years About the Role:- We are seeking an experienced Medical Signal Processing Software Engineer to join our team in Chennai. In this role, you will develop robust pipelines to process biomedical signals, decode proprietary file formats, and contribute to the integration of clinical systems and analytics platforms. This is a hands-on engineering role ideal for someone with a deep understanding of physiological signal data and a passion for building scalable, high-performance tools for medical applications. Key Responsibilities:- Design and develop software solutions for biomedical signal processing using Python, C/C++, or Java Reverse-engineer and decode proprietary binary files from medical monitoring devices. Work with diverse data encoding formats including IEEE floating point, PCM, and BCD Build and optimize signal processing algorithms using libraries such as NumPy, SciPy, wfdb, BioSPPy, and neurokit2. Collaborate with MATLAB-based research teams for algorithm development and integration Convert and standardize physiological waveform data across formats such as SCP, EDF+, HL7 aECG, DICOM waveform, and MIT-BIH Analyze long-duration cardiac monitoring recordings, including signal segmentation and annotation Utilize tools like PhysioNet WFDB Toolkit and OpenECG Tools for efficient signal file handling Inspect and manipulate binary data using hex editors and Python modules like struct and bitstring Document processing workflows, file formats, and code for maintainability and compliance Integrate third-party APIs and plug-ins into medical signal processing pipelines Qualifications & Skills:- Proficiency in Python; experience with C/C++ or Java is highly desirable Proven expertise in reverse-engineering binary data formats Strong understanding of biomedical data standards, especially those used in cardiac monitoring Solid background in signal processing using Python and MATLAB Familiarity with binary inspection tools (e.g., HxD, 010 Editor) and relevant Python libraries (struct, bitstring) Strong problem-solving ability and the capacity to work independently and within cross-functional teams Experience integrating APIs and third-party plug-ins Exposure to AI/ML concepts is a plus Preferred Background:- Bachelor’s or Master’s degree in Biomedical Engineering, Computer Science, Electrical Engineering, or a related field 7–10 years of experience in medical device software development. Familiarity with cloud platforms and healthcare data pipelines is advantageous Job Types: Full-time, Permanent Pay: ₹50,000.00 - ₹75,000.00 per month Benefits: Cell phone reimbursement Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Supplemental Pay: Yearly bonus Application Question(s): Are you an immediate Joinee ? As of Now how many years of Experience do you have ? As of now How many projects you have been Developed ? Work Location: In person

Job Title : Engineer/Technical Officer (Industry 4.0/Manufacturing) Job Location : IIT Indore Key Responsibilities Hardware & System Design:· Assist in the development of PLC-based automation systems and electro-pneumatic setups. Interface sensors, actuators, controllers, and SMC machinery. Support circuit prototyping and embedded controller setup. Software & Control Systems: · Write scripts and logic for industrial control (ladder logic, Python, C/C++). · Support configuration of SCADA/HMI for monitoring and visualization. · Contribute to software modules for data acquisition and process optimization. Simulation & Modelling:· Use tools like MATLAB/Simulink or digital twin platforms to simulate manufacturing workflows. · Model control systems and validate against physical setups. · Perform system testing and help calibrate hardware models. Testing & Integration: · Conduct system-level tests for hardware and software integration. · Troubleshoot faults across mechanical, electrical, and software components. · Provide operational support and documentation for lab machines. Lab Coordination & Documentation: · Maintain technical records, wiring diagrams, SOPs, and compliance documents. · Support setup and demonstrations of automation experiments in the CoE. · Assist researchers and engineers with lab operations and project implementations. Key Skills required · Exposure to PLCs, SCADA/HMI, and industrial control systems. · Programming knowledge in C/C++, Python, or ladder logic. · Familiarity with microcontrollers (Arduino, STM32, Raspberry Pi). · Understanding of both hardware (sensors, actuators, circuits) and software (logic, data flow). · Proficiency in tools like MATLAB/Simulink, Proteus, KiCAD, or LabVIEW is a plus. · Excellent teamwork, organization, and documentation skills. Qualifications & Experience · Education: B.Tech/M.Tech/MSc or equivalent· Experience: 0–2 years (freshers with relevant internship or project experience are encouraged to apply). Preference: Candidates with exposure to industrial automation or smart manufacturing setups. Compensation : As per Industry Standards Interested candidates may click here to submit the application. Only shortlisted candidates will be called for a written test/interaction/interview. Mere fulfillment of the eligibility criteria does not entitle an applicant to be shortlisted. All the applications will be thoroughly evaluated for suitability with the company’s requirements. The company reserves the right to not fill up /cancel the post advertised without assigning any reason. In the case of selection, the role will be finalized by the selection panel and the decision will be binding. The position is contractual, full-time in nature and subject to periodic performance reviews. Job Types: Full-time, Permanent Pay: From ₹30,000.00 per month Benefits: Flexible schedule Paid sick time Paid time off Schedule: Day shift Work Location: In person

Our client an Engineering Solutions company is hiring Business Development professionals for Designing Software/Applications They are resellers of Civil & Mechanical Software Applications of US/Europe and UK companies Looking for a go getter with proven experience in Business Development for Software products for EPC and Consulting companies in India Interested may apply, we will call the relevant applicants for a detailed discussion Thanks & Regards Sairam Adalath Excel Enterprises 502, Meridian Plaza Beside Lal Bunglow Ameerpet, Hyderabad-16 LinkedIn: https://in.linkedin.com/in/sairamadalath

Key Responsibilities : Manage product testing and validation for critical power supply system, including SMPS, AC/DC converters, DC/DC converters, DC/AC inverters, UPS and telecom battery backups. Analyze and validate electrical schematics and BOM. Develop test strategies and derive validation and verification requirements. Execute test protocols, validation plans and QA procedures with precision. Lead and manage customer inspections and FAT processes. Lead a team of testing engineers and technicians, ensuring precise execution of both manual and automated test cases. Ensure test documentation, reporting, and traceability of all test results. Support root cause analysis and corrective action for field failures or customer complaints. Collaborate with external labs and certification bodies for compliance testing and approvals. Engage in all phases of system test development from product definition to production deployment, ensuring seamless transitions. Ensure all products meet performance, safety, reliability, and regulatory standards (ETSI, IEC, IEEE, etc.). Coordinate with R&D, design, and product teams to review design validation plans and suggest improvements. Maintain, calibrate and evaluate factory test instruments and equipment’s. Participate in internal and external customer audits, including ISO compliance evaluations, ensuring adherence to quality, safety, and regulatory standards. Drive continuous improvement in testing processes, turnaround time, and product quality. Qualification & Skill Sets: B.E./B.Tech in Electrical, Electronics, or Power Engineering. Strong knowledge in DC power systems, telecom site power architecture, and backup solutions. Hands-on experience in testing SMPS, batteries, power electronics, and telecom energy systems. Highly proficient in troubleshooting electrical systems using devices like power analyzer, oscilloscope and Hi-pot testers. Proficient in customer inspections and FAT processes. Skilled in applying problem-solving techniques such as 5-Why, 8D, and Fishbone analysis. Strong knowledge of industrial communication protocols, including MODBUS TCP/IP, CAN, RS485, and RS232, SPI. Familiarity with national and international testing standards, including ETSI, IEC, BIS, and CE. Basic Knowledge in programming with C#, C++, and Python for test automation. Exceptional analytical and problem-solving skills, with a structured approach to issue resolution. Knowledge in analytical tools such as LabVIEW and MATLAB (preferred). Ability to lead teams, manage schedules efficiently and coordinate across multiple departments for seamless operations. Experience in implementing and maintaining ISO 9001:2015, EMS ISO 14001:2015, and OHSAS 18001:2007 standards, ensuring compliance and operational excellence. Preferred Traits: Experience in telecom OEMs or power product companies. Exposure to type test, FAT, reliability test and environmental testing. Knowledge of EMI/EMC testing is an added advantage.

1. JOB OVERVIEW We are seeking a proactive Mechatronics Intern to support design, simulation, and documentation of electromechanical systems. The role involves hands-on work with CAD tools, embedded systems, and testing setups. Ideal for candidates with a strong foundation in mechanical and electrical principles, this internship offers real-world R&D experience in a collaborative environment. Ø Position: Mechatronics Intern Location: Goa Experience: 0-1 Year Number of Openings : 2 Job Location : Panaji, Goa Stipend: Rs. 10,000/- Industry: Engineering Research and Development / Technology Working Hours: 1:30 PM to 10:30 PM IST Immediate Joiners Will Be Preferred 2. ROLES AND RESPONSIBILITIES Assist in drafting and compiling technical and backdated R&D reports Support in mechanical and electrical design of components and integrated systems Create and maintain detailed CAD models, wiring diagrams, and schematics Participate in testing, troubleshooting, and performance analysis of electromechanical systems Collaborate with cross-functional teams (mechanical, electrical, software) to develop working prototypes Conduct literature reviews, market research, and gather supporting evidence for documentation Set up and monitor experiments involving sensors, control logic, and system behavior Document PCB layouts, embedded control strategies, and power management approaches Perform simulation-based evaluations (CFD, FEA, electrical circuit analysis) Ensure compliance with applicable engineering standards and safety protocols Organize documentation and visuals (charts, diagrams) for review and presentation Collect, format, and present experimental and test data for inclusion in R&D reports Adapt technical language and visuals for intended audiences Incorporate stakeholder feedback to improve technical documentation Stay updated with emerging mechatronics technologies and tools; apply them as needed 3. REQUIRED SKILLS & QUALITIES Strong foundation in both mechanical and electrical engineering principles Proficiency in CAD software for mechanical (SolidWorks, AutoCAD) and electrical design (EPLAN, AutoCAD Electrical) Ability to create accurate 3D models, 2D technical drawings, and electrical schematics Understanding of circuit design, wiring layouts, and SLDs Familiarity with control systems, sensors, and actuators Experience with basic embedded systems and microcontroller interfacing (e.g., Arduino, STM32, Raspberry Pi) Knowledge of electrical and mechanical standards (NEC, IEC) and safety protocols Familiarity with simulation tools (e.g., ANSYS, MATLAB/Simulink, Multisim, openfoam) for both structural and circuit-level analysis Basic knowledge of renewable energy systems, especially solar components Hands-on experience with testing equipment. Technical writing and documentation skills for R&D reports and project records Good analytical thinking, troubleshooting skills, and attention to detail Ability to work with backdated data and reconstruct project development timelines Proficiency in MS Office tools for data analysis and documentation Strong communication and teamwork skills 4. ABOUT US Enigmasoft Technologies is a forward-thinking IT and engineering solutions provider. Specializing in innovative, sustainable tech, the company helps businesses optimize operations and improve efficiency through tailored solutions. With a focus on both software and hardware engineering, Enigmasoft delivers high-quality, cutting-edge products across various industries, ensuring clients achieve their goals with advanced technology. The company's commitment to R&D ensures they stay at the forefront of technological advancements, driving progress and delivering excellence globally. Our Culture We are committed to a professional and supportive environment with a strong focus on work-life balance. Our diverse workplace fosters creativity and innovation while promoting a healthy gender balance. Why you should join us Working at Enigmasoft Technologies is rewarding! Join us to grow, develop, and be part of an incredible journey where you can take on roles beyond a job description. 5. HOW TO APPLY Interested candidates can apply online at: https://enigma.keka.com/careers or share their profile at: hr@enigma-tech.io Visit us at: http://enigma-tech.io

We are seeking a passionate and knowledgeable Electronics Engineering Faculty member to join our academic team. The ideal candidate will be responsible for teaching undergraduate and/or postgraduate courses, mentoring students, conducting research, and contributing to the continuous improvement of the curriculum and academic activities. Key Responsibilities: Deliver lectures and practical sessions in core Electronics Engineering subjects such as Analog & Digital Electronics, Microprocessors, Embedded Systems, VLSI, Communication Systems, Control Systems, etc. Develop and update course content, teaching materials, and laboratory experiments. Guide students on academic projects, internships, and research work. Conduct internal assessments, prepare question papers, evaluate answer scripts, and maintain student records. Engage in academic research and contribute to publications in reputed journals/conferences. Participate in departmental meetings, faculty development programs, and institutional activities. Provide academic counseling and career guidance to students. Qualifications: Educational Qualification: M.Tech/M.E. or Ph.D. in Electronics/Electronics & Communication/Electrical & Electronics Engineering or a related field from a recognized institution. Experience: Minimum 1–3 years of teaching or relevant industry experience (freshers with strong academic backgrounds may also be considered). Strong communication skills and a passion for teaching. Familiarity with modern teaching techniques and tools including online learning platforms. Preferred Skills: Expertise in simulation tools such as MATLAB, Multisim, Proteus, etc. Experience with microcontroller programming (e.g., Arduino, PIC, ARM). Published research papers or participation in academic conferences. Ability to contribute to interdisciplinary projects and curriculum development.

What's the role? HERE is searching for a Lead Data Scientist for our Foundation Engineering Development Group. You will be part of an engineering team that works closely with Data Scientists to develop Data extraction, Data visualization, Data labelling and Data validation software with a focus on continuous delivery. In this team, you will have opportunity to work on full stack development technologies and is an excellent opportunity to work with an energetic and dedicated team of software engineers and computer vision/machine learning experts on highly visible, technology-driven problems with a direct connection to the success of the company. 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. 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 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-maing 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? Requirements 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) Who are we? HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. 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. In this role you be part of the Content Automation group. You will work alongside high energy, innovative teams leveraging cutting edge technology to identify new technologies, processes, and sources to build the best-in-class high definition map used in autonomous driving. You will be enabling one of the largest technological and cultural shifts in the modern world, creating enhanced road safety, reduced congestion, lower emissions, and expanded mobility, paving the way for a more efficient and sustainable transportation future.

1. JOB OVERVIEW We are seeking a proactive Mechatronics Intern to support design, simulation, and documentation of electromechanical systems. The role involves hands-on work with CAD tools, embedded systems, and testing setups. Ideal for candidates with a strong foundation in mechanical and electrical principles, this internship offers real-world R&D experience in a collaborative environment. Ø Position: Mechatronics Intern Location: Goa Experience : 0-1 Year Number of Openings : 2 Job Location: Panaji, Goa Stipend: Rs. 10,000/- Industry: Engineering Research and Development / Technology Working Hours: 1:30 PM to 10:30 PM IST Immediate Joiners Will Be Preferred 2. ROLES AND RESPONSIBILITIES · Assist in drafting and compiling technical and backdated R&D reports · Support in mechanical and electrical design of components and integrated systems · Create and maintain detailed CAD models, wiring diagrams, and schematics · Participate in testing, troubleshooting, and performance analysis of electromechanical systems · Collaborate with cross-functional teams (mechanical, electrical, software) to develop working prototypes · Conduct literature reviews, market research, and gather supporting evidence for documentation · Set up and monitor experiments involving sensors, control logic, and system behavior · Document PCB layouts, embedded control strategies, and power management approaches · Perform simulation-based evaluations (CFD, FEA, electrical circuit analysis) · Ensure compliance with applicable engineering standards and safety protocols · Organize documentation and visuals (charts, diagrams) for review and presentation · Collect, format, and present experimental and test data for inclusion in R&D reports · Adapt technical language and visuals for intended audiences · Incorporate stakeholder feedback to improve technical documentation · Stay updated with emerging mechatronics technologies and tools; apply them as needed 3. REQUIRED SKILLS & QUALITIES · Strong foundation in both mechanical and electrical engineering principles · Proficiency in CAD software for mechanical (SolidWorks, AutoCAD) and electrical design (EPLAN, AutoCAD Electrical) · Ability to create accurate 3D models, 2D technical drawings, and electrical schematics · Understanding of circuit design, wiring layouts, and SLDs · Familiarity with control systems, sensors, and actuators · Experience with basic embedded systems and microcontroller interfacing (e.g., Arduino, STM32, Raspberry Pi) · Knowledge of electrical and mechanical standards (NEC, IEC) and safety protocols · Familiarity with simulation tools (e.g., ANSYS, MATLAB/Simulink, Multisim, openfoam) for both structural and circuit-level analysis · Basic knowledge of renewable energy systems, especially solar components · Hands-on experience with testing equipment. · Technical writing and documentation skills for R&D reports and project records · Good analytical thinking, troubleshooting skills, and attention to detail · Ability to work with backdated data and reconstruct project development timelines · Proficiency in MS Office tools for data analysis and documentation · Strong communication and teamwork skills 4. ABOUT US Enigmasoft Technologies is a forward-thinking IT and engineering solutions provider. Specializing in innovative, sustainable tech, the company helps businesses optimize operations and improve efficiency through tailored solutions. With a focus on both software and hardware engineering, Enigmasoft delivers high-quality, cutting-edge products across various industries, ensuring clients achieve their goals with advanced technology. The company's commitment to R&D ensures they stay at the forefront of technological advancements, driving progress and delivering excellence globally. Our Culture We are committed to a professional and supportive environment with a strong focus on work-life balance. Our diverse workplace fosters creativity and innovation while promoting a healthy gender balance. Why you should join us Working at Enigmasoft Technologies is rewarding! Join us to grow, develop, and be part of an incredible journey where you can take on roles beyond a job description. 5. HOW TO APPLY Interested candidates can apply online at: https://enigma.keka.com/careers or share their profile at: hr@enigma-tech.io Visit us at: www.enigma-t Job Type: Internship Contract length: 6 months Pay: ₹10,000.00 per month Schedule: Day shift Fixed shift Monday to Friday UK shift Work Location: In person

Position Overview In Scope of Position based Promotions (INTERNAL only) Job Title: Risk Reporting Specialist, AS Location: Pune, 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 We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy: Best in class leave policy. Gender neutral parental leaves. 100% reimbursement under childcare assistance benefit (gender neutral). Sponsorship for Industry relevant certifications and education. Employee Assistance Program for you and your family members. Comprehensive Hospitalization Insurance for you and your dependents. Accident and Term life Insurance. Complementary Health screening for 35 yrs. and above 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 bachelor’s 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 We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs 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.