3230 Matlab Jobs - Page 12

We are hiring a Junior C/C++ Engineer eager to contribute to core system modules and embedded solutions. Key Responsibilities:Write and debug efficient C/C++ code. Assist in system-level design and testing. Work with senior engineers to maintain code quality. Contribute to performance optimization. Required Qualifications:1-2 years of experience with C/C++. Understanding of memory management and data structures. Familiar with compilers, debugging, and Linux environments.

We are hiring a Junior C/C++ Engineer eager to contribute to core system modules and embedded solutions. Key Responsibilities:Write and debug efficient C/C++ code. Assist in system-level design and testing. Work with senior engineers to maintain code quality. Contribute to performance optimization. Required Qualifications:1-2 years of experience with C/C++. Understanding of memory management and data structures. Familiar with compilers, debugging, and Linux environments.

Job Summary: As a meteorologist, you will utilize scientific data gathered from the atmosphere and weather conditions to make accurate predictions. You will be responsible for interpreting meteorological data, delivering weather reports, and studying climate change patterns. Ideal candidate should have a strong understanding of atmospheric science and excellent data analysis skills. Responsibilities: • Carry out model run of WRF and carry out dynamical downscaling of global circulation model to produce downscaled forecasts or evaluate climate change scenarios. • Evaluating the data generated from the model run. • Preparing and developing bias correction algorithms to improve the accuracy of the numerical weather predictions. • conduct synoptic and mesoscale numerical weather prediction experiments to develop techniques to exploit new observation sources for forecast improvement. • Carry out data assimilation for numerical weather prediction. • Providing customers with weather reports and forecasts. • Continuous monitoring of weather forecasting process and development of tools and algorithms to constantly improve forecasting accuracy. • Researching and evaluating new developments in meteorology, climate prediction and weather forecasting to benefit from fast changing atmospheric sciences discipline. Skills Required: • Thorough knowledge of running and interpreting numerical weather prediction models like WRF and GFS. • Knowledge of evaluating numerical weather prediction model performance, for deterministic or probabilistic predictions. • Recording and analyzing data from worldwide weather stations, satellites, radars and remote sensors. • Interpreting observations from the land, sea and upper atmosphere. • Thorough skills associated with statistical analysis and systems programming including ability to carry out data assimilation and model-run execution. • Ability to evaluate and develop bias correction models to improve the accuracy of the weather forecast. • Skills to communicate and prepare complex weather forecast in simple and easy to understand formats. • Expertise in scientific programming to include Fortran or C or C++, python or MATLAB, NCL or R. Experience in Linux and shell scripts. Educational Qualifications: • Masters’ degree in Meteorology / Agrometeorology / Atmospheric Sciences or Physics / Climate Modelling / Computer Science

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours’. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours’. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

Position: Optical Design Engineer Vacancy: 1 Location: Goa Experience: 2-4 years Notice Period – Immediate Joiner preferred Working Hours: 1:30 PM to 10:30 PM Job Summary: We are seeking a highly skilled Optics Design Engineer to join our team. The ideal candidate will be responsible for designing, developing, and optimising optical systems for various applications, including imaging, photonics systems, illumination, and optical sensors. The role requires expertise in optical modelling, simulation, and prototyping, as well as collaboration with multidisciplinary teams to integrate optical components into larger systems. Key Responsibilities: Design and develop advanced optical systems for applications such as imaging, sensing, photon optics, and illumination. Perform optical system modeling, analysis, and simulation using industry-standard software. Select and specify optical components, materials, and coatings to meet system requirements. Develop prototypes and conduct laboratory testing to evaluate optical performance, ensuring alignment with design specifications. Collaborate with mechanical, electrical, and software engineers to integrate optical designs into complete systems. Work on tolerance analysis, stray light analysis, and optical aberration correction. Support the manufacturing process, including working with vendors for optical component fabrication and assembly. Conduct performance evaluations, troubleshooting, and optimisation of optical systems. Document designs, testing procedures, and results, ensuring compliance with industry standards and regulatory requirements. Stay up to date with the latest developments in optics, photonics, and optical design technologies. Required Qualifications: Bachelor’s or Master’s degree in Optical Engineering, Physics, Electrical Engineering, or a related field . 3-4 years of experience in optical design, development, and testing. Proficiency in optical design software or equivalent. Strong understanding of geometrical optics, physical optics, and photon optics principles. Experience with optomechanical integration and system-level design considerations. Familiarity with optical fabrication and metrology techniques. Hands-on experience in laboratory testing and optical alignment procedures. Ability to work effectively in cross-functional teams and manage multiple projects simultaneously. Strong analytical, problem-solving, and documentation skills. Experience with MATLAB, Python, or similar programming tools for optical simulations is a plus. About us Enigmasoft Technologies is a fast-growing IT solution company with a large global client base. We are committed to delivering innovative business solutions that enable businesses to remain competitive in their respective markets. Our technological solutions assist businesses in expanding, growing, and reaching new heights. Our culture We are committed to creating a professional and supportive environment for all of our employees, with a strong emphasis on maintaining a healthy work-life balance. Enigmasoft Technologies is an excellent place to advance professionally and learn new skills. As our workplace includes individuals from a wide range of cultures, they inspire creativity and drive innovation. In addition, our organization promotes a healthy gender balance. Why you should join us Working at Enigmasoft Technologies is a rewarding experience! Great people, a work environment that encourages creativity, and the opportunity to take on roles that go beyond a job description are just a few of the reasons why you should work with us. If you want to be challenged, grow, develop, and truly be a part of an incredible journey, come meet us, say hello, and see how we can collaborate. Employee benefits Insurance benefits : medical insurance (self, spouse, and children), accidental insurance. Leave benefits : maternity, paternity, bereavement, marriage – additional to regular sick, casual, and privilege leaves. Retirement benefits : PF contribution, leave encashment. Interested candidates can apply online at https://enigma.keka.com/careers or share your profile at hr@enigma-tech.io. Website : www.enigma-tech.io Walk in Directly between 1.30 PM to 10.30 PM. (Weekdays - MON to FRI) Job Types: Full-time, Permanent Pay: ₹25,000.00 - ₹50,000.00 per month Benefits: Health insurance Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday UK shift Work Location: In person

Summary Position Summary Jobtitle: Model Risk Management – Pricing – Senior Consultant (LSA/SSA) About At Deloitte, we do not offer you just a job, but a career in the highly sought-after risk management field. We are business leaders in the risk market and work with a vision to make the world more prosperous, trustworthy, and safe. Our clients, primarily based outside of India, are large, complex organizations that constantly evolve and innovate to build better products and services. In the process, they encounter various risks and the work we do to help them address these risks is increasingly important to their success – and to the strength of the economy and public security. By joining us, you will get to work with diverse teams of professionals who design, manage, and implement risk-centric solutions across a variety of domains. In the process, you will gain exposure to the challenges related to risk management faced in today’s world by organizations across a range of industry sectors and become subject matter experts in those areas. Our professionals help organizations effectively navigate business risks and opportunities – from strategic, reputation, and financial risks to operational, cyber, and regulatory risks – to gain competitive advantage. We apply our experience in ongoing business operations and corporate lifecycle events to help clients become stronger and more resilient. Our market-leading teams help clients embrace complexity to accelerate performance, disrupt through innovation, and lead in their industries. We use cutting-edge technologies like AI/ML techniques, analytics, and risk process automation (RPA) to solve Deloitte’s clients’ most complex issues. Working in Deloitte US-India offices has the power to redefine your ambitions. The Team We help organizations in their efforts to achieve regulatory and legal compliance and transform their departments to add greater value to the business. We combine highly specialized skills in discovery and data management, corporate investigations, Foreign Corrupt Practices Act, and anti-fraud with financial acumen and advanced analytics to produce transformative insights. Within Deloitte, Model Risk Management (MRM) is one of the services we offer to our clients where we help them manage their risks around model usage. The team is comprised of professionals with diverse backgrounds, including Masters in Statistics, Mathematics, Physics, Finance, Financial Engineering and PhDs in various quantitative fields, etc. Our team is focused on qualitative assessment and quantitative modeling in the areas of Market Risk, Credit Risk, Operational Risk, Liquidity Risk, Fraud Risk as per regulatory guidelines like CCAR/Stress Testing, BASEL II.5 / III in US and CRD IV/CRR in EMEA regulations. The team also does valuation of complex financial products such as derivatives and structured products. Our value proposition includes industry, financial accounting and business process knowledge, proven methodologies that include risk and control concepts, deep expertise in advanced quantitative, data extraction, data mining and analytical skills. Workyou’ll do The key job responsibilities will be to: Workonconsultingprojectsrelatedtofinancialinstrumentmodeling,modelreview,securities pricing, and risk management including support for regulatory compliance. Developorvalidateequity,FX,andhybridbasedexoticpricingmodelswithafocusonconceptual assessment and assumptions testing. PerformquantitativeanalysisfocusedonProfitAttributionAnalysis(PAA),StressTestingandNon- modellable Risk Factors (NMRFs) for the models being validated. Assessvaluationmethodologyforfixedincomeinstrumentsandderivativesoninterestrates, foreign exchange, equity, and credit. Design,implementandcritiqueoncalibrationsofparametrizedvaluationmodelssuchasBlack Scholes, Hull & White, SABR, Heston, etc. Assess IPV methodology for external clients covering products across all asset classes. AssistclientinAdvisoryprojectsaroundtheevolvingissuese.g.,XVA,IBORTransition,etc.that affect the valuation of derivatives and structured products. Experience in leading / guiding teammates. Required Skills Familiarity with valuation of fixed income instruments, derivatives on interest rates, foreign exchange, equity, and credit. Understanding of financial derivatives , stochastic calculus, and numerical techniques for derivatives pricing (Monte Carlo / Finite Difference). Familiarity with various quantitative measures related to Market Risk (e.g., VaR, Expected Shortfall, etc.) and Counterparty Credit Risk (e.g., Expected Exposure, Expected Potential Exposure, etc.) 4-8yearsofexperiencewithquantitative analysis technical tools such as Python, R, MATLAB, SAS, etc. Familiarity with tools like Bloomberg, Refinitiv, Murex, etc. is a plus. ExperienceinmodelvalidationlikeAssetLiabilityManagement,EconomicCapitalModels,etc.isa plus. Understanding of financial regulations (like FRTB), products or financial processes is a plus Abilitytoexplaindifficultfinancialmodeling/valuationconceptstodiverseaudiencesandtoexperts at various clients. Related bank/ consulting experience is a plus. Preferred Skills Certifications: CFA / FRM / CQF Experience in programming languages such as Python or R Qualification Masters in Stats / Math / Physics/ Economics / Quantitative Finance MBA with Finance major PhD in an advanced quantitative subject is a plus. How You Will Grow At Deloitte, we’ve invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities—including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way. No two people learn in exactly the same way. So, we provide a range of resources including live classrooms, team-based learning, and eLearning. DU: The Leadership Center in India, our state-of-the-art, world-class learning Center in the Hyderabad offices is an extension of the Deloitte University (DU) in Westlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center in India Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you . Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte . Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world . Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 303618

You will be joining AtomOne Technologies Pvt. Ltd."s R&D - IIoT department as an IIoT and Digitalization Officer, reporting to the Director. With 5-8 years of experience, you will play a key role in leading and executing Industry 4.0 initiatives to enhance manufacturing productivity, operational efficiency, and data-driven decision-making. Your responsibilities will include leading the digital transformation roadmap by integrating IIoT, AI/ML, and automation technologies across multiple manufacturing plants. You will design and implement a Digital Transformation Framework to enhance interconnectivity, data integration, and smart system deployment. Managing end-to-end project execution, including cross-functional coordination, vendor engagement, and stakeholder communication, will be a crucial aspect of your role. Furthermore, you will design and deploy smart factory systems, ensure secure industrial network connectivity, and leverage cloud-based IIoT platforms for improved operational visibility. Collaboration with Production, Quality, and Maintenance Heads to assess requirements and propose digital interventions will be essential. Additionally, creating technical documentation such as system architecture, integration plans, and user guides will be part of your responsibilities. To excel in this role, you should have experience in Smart Manufacturing, Digital Transformation, or Industry 4.0. Hands-on experience with IoT & IIoT systems, sensor networks, industrial data communication, PLC, SCADA, MES integration, and industrial automation is required. Proficiency in Python, Node-RED, SQLite, Power BI, MATLAB, and cybersecurity protocols in industrial settings is essential. Demonstrated ability to lead cross-site digital projects, familiarity with AI/ML applications in manufacturing, and strong project management and team leadership capabilities are also necessary. Preferred qualifications include an M.Tech/Ph.D. in Manufacturing, Smart Manufacturing, or related engineering fields, along with knowledge of cloud-based infrastructure for manufacturing solutions. Effective communication skills to interact with global clients and internal stakeholders will be beneficial in this role.,

Bachelor's degree in Engineering, or equivalent experience in related field having atleast 3 to 5 years of experience in Requirements / Systems Engineering , ALM tools on any of the area - Implementation, consulting, Functional, admin, customization, support - Good experience with requirements management systems (e.g. IBM DOORS, Polarion, PTC Integrity , Codebeamer etc)- Elicitation, decomposition of requirements as per international standards - Good understanding of system engineering processes including SysML, regulated system delivery, change and optimization Experience in IBM Rhapsody, Matlab, Cameo, etc. - Knowledge in FMEA, ASPICE, and automotive quality standards - Excellent written and verbal communication skills. - Added advantage for Requirements Engineering certification - IREB/ INCOSE. - Good understanding of systems Engineering V model - Good experience with requirements management systems (e.g. DOORS, Polarion, PTC Integrity etc)- Elicitation, decomposition of requirements as per international standards - Good understanding of system engineering processes including SysML, regulated system delivery, change and optimization

Do you want to play a vital role in developing Tools for PtX on a global scale with the world's leading renewable energy developers? Blue Power Partners is a global consultancy and project development company dedicated to developing renewable energy. Our business is growing fast, and we are looking for a skilled Tool developer with Chemical/Petroleum Engineering background situated in India to support our colleagues in Chennai and our teams worldwide. To be successful in this role, you will have to value supporting your colleagues, enjoy ever-changing demands and take pride in solving both complex and simple tasks within the field of Global Engineering! About the Job 1. Basic understanding of chemical processes – unit operations, mass and energy balance calculations. 2. Strong excel and data management skills 3. Capability to evaluate different scenarios, propose fitting solutions, assess the feasibility and usability of solutions, and assist in making informed decisions in tool making. 4. General proficiency in process and PtX technologies – energy conversion technologies, knowledge in the production of methanol, ammonia etc., and exposure to steel industry operations. 5. Basic knowledge in developing PFDs, P&IDs, BFDs and plot plans with working knowledge in CAD software package including AutoCAD, CATIA, Solid works etc. 6. Proficiency in programming language skills such as Python or R 7. Strong communication and collaborative skills – both oral and written with a bird view mindset About you Required Qualification Degree in Chemical Engineering or Petroleum Engineering with experience - 1 to 3 years Skillsets Knowledge in PtX Technologies, Programming language such as Python, Java, C/C++, MATLAB, VBA, PFDs, P&IDs, BFDs and AutoCAD #LI-DNI Contact BPP Renewable Energy Private Limited Bahwan Cybertek IT Park, 3rd Floor, East Wing, No 148, 600097 Chennai India Tamil Nadu Rajesh Selvaraj raj@bluepp.dk Closing date: 08-17-2025 About Blue Power Partners Blue Power Partners is a global consultancy company that supports worldwide leading developers, asset owners and technology companies within origination, development, construction and performance optimization of onshore/offshore wind, solar, PtX and storage projects. We are determined to drive change, and guided by our vision to accelerate the green transition, we work collectively to make a difference that really matters. You will join a diverse team of colleagues who all share our vision and passion for renewable energy. It is an essential part of our culture that we support each other, learn from each other, and celebrate each other's achievements. Together, we make a real difference. During the recruitment process, Blue Power Partners is processing all registered personal data in compliance with the European General Data Protection (GDPR), and we reserve the right to screen the SM accounts of potential candidates.

Hosur Plant, Tamil Nadu, India Department R & D - S/W - Connected Services Job posted on Jul 17, 2025 Employment type White Collar About TVS Motor TVS Motor Company is a reputed two and three-wheeler manufacturer globally, championing progress through Sustainable Mobility with four state-of-the-art manufacturing facilities in Hosur, Mysuru and Nalagarh in India and Karawang in Indonesia. Rooted in our 100-year legacy of Trust, Value, and Passion for Customers and Exactness, we take pride in making internationally aspirational products of the highest quality through innovative and sustainable processes. We are the only two-wheeler company to have received the prestigious Deming Prize. Our products lead in their respective categories in the J.D. Power IQS and APEAL surveys. We have been ranked No. 1 Company in the J.D. Power Customer Service Satisfaction Survey for consecutive four years. Our group company Norton Motorcycles, based in the United Kingdom, is one of the most emotive motorcycle brands in the world. Our subsidiaries in the personal e-mobility space, Swiss E-Mobility Group (SEMG) and EGO Movement have a leading position in the e-bike market in Switzerland. TVS Motor Company endeavors to deliver the most superior customer experience across 80 countries in which we operate. For more information, please visit www.tvsmotor.com. About TVSM – Software Research & Development Organization The TVSM Software Research and Development Organization is a technology-first organization responsible for building a Software tech stack for all TVSM products, making TVSM customers' mobility Connected, safer, sustainable, and comfortable in a new way. We are building technology and software platforms for all next-gen Connected Vehicle, Infotainment, e-Mobility, Connected Services and Post SOP/Service for all TVSM’s brands. We build the unthinkable across geographies exceeding all quality, cost, scalability, competitive and performance benchmarks. Our mission is to transform Consumer experience and increase Perceived value of our products & Services to achieve highest degree of Customer Satisfaction & Trust. About the role Name of the position: System Engineer - Smart Peripherals Educational Qualification: B.Tech (ECE,EEE) with 3.5+years of experience in design and development of audio products in automotive/ consumer electronics (or) M.S specialization in embedded systems, Human Machine Interface, with >1 year of relevant experience in audio applications (or) M.S. specialization in acoustics / sound engineering with 1+ year of relevant experience. Roles & Responsibilities: Acoustics and SW Systems engineering Version control management for HW & SW Conduct a Logical analysis of the architecture Conduct Functional and technical design review Conduct a failure mode & effect analysis on connected features Conduct a UX review and arrive at the UX for branded audio features with the stakeholders Manage IP & FTOs Skilled in converting customer requirements to use case, UML, and state machine diagrams Skilled in embedded audio application development & deployment Experience inthe development of noise filters, voice assistance applications Experience in debugging wireless communications, like BT audio network Experience in communication protocols (CAN, UART, UDS, SPI, I2S) Experience in design and development of SW components & DSP algorithms Experience in the design and development of HW circuits for any audio circuitry Build, revise & track technology roadmaps at the domain level Define audio design guidelines Feature ownership & on-time delivery Conduct frequent reviews with stakeholders on the selection of features Responsible for the development of SW libraries for all business logics Responsible for PoC development for all audio technology concepts across embedded platforms Experience in the development of sound processing algorithms & deployment in target controllers/ processors Knowledge on homologation standards for HMI, AVAS, and Automotive electronics Functional Competencies: Experience with tools like MATLAB, Audacity, Audioweaver, or similar tuning tools Experience in building a CCP application in an RTOS environment Minimum of 2 years' Experience in sound engineering Minimum of 2-3 years of experience in Embedded Linux/Android application using sound lib like ALSA Behavioral Competencies Understanding of cross functional systems requirements Establish effective communication with stake holders Expected to manage delivery on time Support with necessary resource allocation on time Highly movtivated to work on building cutting edge nextgen audio features Creative thinking and enthusiasm towards building next generation TVSM products Leadership Competencies Ø Leading Innovation & Diverse Teams Ø Adaptability Ø Strategic Thinking Why TVSM? At TVSM, we are always challenging ourselves to build a better, connected & sustainable future. We need the most innovative and diverse Digital Minds to develop tomorrow ‘s reality. Working at TVSM Software also means flexibility - Choosing between working from home and the office is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in automotive software organization. We are a merit driven, equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, or disability status.

As a motivated and highly skilled Data Scientist joining the Flight Safety team, your role will be crucial in utilizing advanced analytics and machine learning techniques to drive safety-related decisions and enhance operational processes. You will primarily focus on analyzing time-series and multivariate data to detect anomalies, identify patterns, and create predictive models that contribute to improving flight safety and minimizing risks. Your responsibilities will include conducting exploratory data analysis to reveal insights from complex datasets, applying advanced anomaly detection techniques to spot irregularities and potential safety risks, and developing machine learning and deep learning models like ANN, RNN, and CNN for predictive safety analytics. Using big data analytics tools and AI/ML frameworks, you will support data-driven decision-making within the field of flight safety. Additionally, you will design custom algorithms tailored to meet specific domain requirements with precision and reliability, and write efficient, maintainable code in Python and MATLAB for data processing, modeling, and algorithm deployment. Collaboration with cross-functional teams will be essential in translating analytical findings into actionable safety initiatives. To qualify for this role, you should hold a Bachelor's degree in Engineering with a specialization in Data Science or a related field, along with certification in Data Science. With a minimum of 6 years of practical experience in data science, machine learning, or analytics roles, you should have a proven track record in developing AI/ML models, particularly in anomaly detection and predictive analytics. Proficiency in data analysis, exploratory data analysis, anomaly detection (time-series & multivariate data), machine learning, deep learning, big data analytics, and AI-driven risk forecasting is crucial. Strong programming skills in Python and MATLAB, coupled with expertise in custom algorithm design, data collection, preprocessing, and integration, are also required. By joining our team, you will have the opportunity to contribute to cutting-edge data science projects in the aviation safety sector, work in a collaborative and innovation-oriented environment, and be part of a mission-critical team dedicated to predictive safety and operational excellence. This is a full-time, permanent position with benefits including cell phone reimbursement, provided food, health insurance, paid sick time, paid time off, provident fund, and the option to work from home. The work schedule is during the day, and the work location is in person.,

This role is based in Sydney, Australia at UNSW, one of Australia's leading research and teaching universities renowned for its vibrant campus life and strong sense of community and inclusion. At UNSW, you will have the opportunity to collaborate and learn from the best minds in the field, contributing to a workplace where excellence is valued and nurtured. The Research Associate position within the School of Mathematics and Statistics involves undertaking collaborative and self-directed research on an ARC-funded Discovery Project focusing on High Dimensional Approximation, Learning, and Uncertainty. The primary goal of the project is to develop and implement innovative schemes for high-dimensional approximation that are reliable, accurate, efficient in handling numerous variables or uncertain parameters, and tailored to specific applications. Reporting to Professor Frances Kuo and Professor Ian Sloan, the Research Associate will work independently and as part of a team, conducting research in areas such as High Dimensional Approximation, Uncertainty Quantification, Deep Learning, and Quasi-Monte Carlo Methods. Responsibilities include contributing to scientific publications, coordinating research activities, engaging with industry partners, and participating in conferences and workshops relevant to the project. To be successful in this role, you should hold a PhD in Mathematics, preferably in computational mathematics or a related area. You must demonstrate the ability to conduct independent research, possess strong interpersonal skills, and have knowledge in Quasi-Monte Carlo methods, finite element analysis, and/or machine learning. Proficiency in computer programming languages such as Matlab, C++, or Python is essential, along with a collaborative mindset, effective communication skills, and a commitment to UNSW's values and objectives. Applicants are required to address the selection criteria outlined in the position description thoroughly. This full-time, fixed-term role offers a salary range of $113K - $121K plus 17% Superannuation and annual leave loading. The successful candidate will join a dynamic team of academics and researchers dedicated to advancing the field of mathematics and statistics. For further information about working at UNSW, please visit www.unsw.edu.au. UNSW is committed to equity, diversity, and inclusion, encouraging applications from individuals of diverse backgrounds. Workplace adjustments are available for people with disabilities, and flexible work options may be considered for eligible staff. Applications close on August 8th, 2025. For any informal queries, please contact Frances Kuo at f.kuo@unsw.edu.au. Please note that applications must be submitted online and will not be accepted if sent directly to the contact listed.,

You are seeking a motivated and highly skilled Data Scientist to join the Flight Safety team in Gurgaon. Your role will involve leveraging advanced analytics and machine learning to drive safety-related decisions and enhance operational processes. As a critical member of the team, you will work with time-series and multivariate data to detect anomalies, identify patterns, and develop predictive models that enhance flight safety and risk mitigation. Your responsibilities will include performing exploratory data analysis to reveal insights from complex datasets, applying advanced anomaly detection techniques on time-series and multivariate data, and developing machine learning and deep learning models for predictive safety analytics. You will also be utilizing big data analytics tools and AI/ML frameworks to support data-driven decision-making in flight safety, designing custom algorithms for domain-specific requirements, and writing efficient code using Python and MATLAB for data processing and modeling. To qualify for this role, you should hold a Bachelor's degree in Engineering with a specialization in Data Science or a related field, along with a certification in Data Science. Additionally, you should have a minimum of 6 years of hands-on experience in data science, machine learning, or analytics roles, with a proven track record in developing AI/ML models, particularly in anomaly detection and predictive analytics. Key skills required for this position include data analysis, exploratory data analysis, anomaly detection on time-series and multivariate data, machine learning, deep learning, big data analytics, AI-driven risk forecasting, programming skills in Python and MATLAB, custom algorithm design, data collection, preprocessing, and integration. By joining this team, you will have the opportunity to contribute to cutting-edge data science initiatives in aviation safety, work in a collaborative and innovation-driven environment, and be part of a mission-critical team focused on predictive safety and operational excellence.,

Hyderabad Job ID: SS202500083 Function: Verification Role: Embedded Software Verification Desired Skills: Embedded Software, Verification, MIL, SIL, Python Job Description 8-12 years of Embedded software verification experience for safety critical systems. Experience in test automation framework (MIL, SIL and HIL) Experience in setting up the testing environment for embedded systems. Experience in strong Python Programming. Experience in defining the testing strategies for embedded software. Hands on experience on MATLAB/SIMULINK, Experience performing risk management analysis of software (e.g., SW FMEA). Familiarity with real-time operating systems such as QNX/VXWORKS/LINUX. Experience in tools like JAMA, STASH/BITBUCKET/GIT/JIRA/CONFLUENCE/BAMBOO Good knowledge on agile principle and good experience in working in agile environment

We are looking for a highly motivated and detail-oriented Junior Engineer to join our team. As a Junior Engineer, you will be responsible for system validation of hardware sensors, embedded systems, and HW components. Your key responsibilities will include designing, developing, and executing system validation tests, collaborating with cross-functional teams to resolve system-level issues, and analyzing test results to provide detailed reports and recommendations for improvement. Additionally, you will participate in the development of test plans, test cases, and test procedures, and work closely with hardware engineers to provide feedback on testability and manufacturability. It is essential to stay updated with industry trends and emerging technologies in system validation. The ideal candidate should have 2-5 years of experience in system validation, preferably in the field of hardware sensors, embedded systems, or HW components. A Diploma, Bachelor's, or Master's degree in Electrical Engineering, Computer Engineering, or a related field is required. You should possess a strong understanding of electronics fundamentals, including circuit analysis, digital logic, and microcontrollers. Proficiency in at least one programming language such as Python, C++, or MATLAB is essential, and experience with scripting languages like Bash or Perl is a plus. Good problem-solving skills, excellent communication, and teamwork abilities are crucial for this role, along with familiarity with industry-standard tools and equipment. Nice to have qualifications include experience with automation frameworks, knowledge of computer-aided design (CAD) software, familiarity with version control systems, and relevant certifications such as Certified Test Engineer (CTE) or Certified Quality Engineer (CQE). In return, we offer a competitive salary and benefits package, opportunities for professional growth and development, a collaborative and dynamic work environment, access to cutting-edge technology and tools, as well as recognition and rewards for outstanding performance.,

As a Team Member, you will be reporting functionally to the Group Lead/Team Lead and administratively to the Department Head. Your educational background should include a B.E/B.Tech/M.Tech degree in Mechanical/Automobile/Electrical Engineering. Having 5 to 7 years of experience in the field is essential for this role. Your responsibilities will include having a basic understanding of the chassis system, design aspects, and functions. You should also be familiar with part selection and the issues encountered during vehicle assembly. Experience with simulation software such as ADAMS, CARSIM, and Matlab is required. Additionally, you should possess knowledge of K&C simulation, ride and handling simulation, and tire modeling. Understanding vehicle dynamic parameters and terminologies related to ride, handling, and braking will be crucial for this role. You will need to estimate the impact of vehicle parameters on RHB and collaborate with testing teams to analyze failures. Interpreting results, identifying failure modes, and suggesting improvements for meeting performance criteria will be part of your responsibilities. In terms of competencies, you should have a thorough understanding of automotive engineering and regulatory guidelines and standards (e.g., SAE, JATMA, ETRTO, and AIS). Hands-on experience with chassis parts, knowledge in vehicle dynamics, ride handling, tire, and control systems, as well as familiarity with CAD software like UG NX, are required. Experience in project management will be an added advantage, and a minimum of 2 years of on-road driving experience is a must. From a behavioral standpoint, you should possess excellent interpersonal skills, effective communication and presentation skills, achievement orientation, teamwork abilities, and networking skills. Specific skills that are essential for this role include proficiency in MS Office, driving skills, and expertise in UG-NX, ADAMS, CARSIM, and Matlab.,

As an Electrical Power Systems Design and Control Architect, you will play a crucial role in a global product development team focusing on electrification within Marine, Offshore, Onshore, and Process Industry settings. Your responsibilities will include system design within a multidisciplinary team, involving mechanical, electrical power, and control system aspects. This will encompass tasks such as conducting power system calculations and simulations using tools like MATLAB, designing electrical equipment and systems, drafting technical specifications and test procedures, and conducting testing procedures. Your contribution will be vital in the development of Electrification Solutions, which form an integral part of Electrification, Automation, and Digital solutions. This will require your expertise in the relevant domains. You will be involved in the development of both traditional AC and modern DC power distribution solutions as part of R&D projects, including piloting in initial customer projects and creating all necessary technical documentation. Your role will also involve designing and optimizing power system solutions to meet the diverse requirements of various applications within different customer segments. Regular interaction with international teams and customers of varying cultural backgrounds will be a part of your daily routine. In terms of impact, you will be responsible for creating power delivery and control architectures tailored to specific segments, ensuring reliability, availability, and expandability. This may involve incorporating new energy elements such as BESS, Solar, or Wind alongside conventional generation and grid connectivity. You will collaborate on power system studies and modeling, perform performance analysis to enhance system efficiency and reliability, engage with cross-functional teams to align power system design with control solutions, and ensure compliance with industry standards and best practices. Additionally, you will be expected to drive innovation by leveraging the latest technological advancements in AC/DC power systems and control, think creatively, work effectively in a team-based development environment, and contribute to detailed documentation including design specifications, technical drawings, and user documentation. Mentorship of junior engineers and freshers in power systems studies and control simulations will also be a part of your role, where you will oversee their work and ensure quality standards are met.,

You will be responsible for analyzing genetics, epigenetics, metagenomics, and metabolomics data obtained from high-throughput multiplex assays using advanced computational techniques. Your role will involve integrating various datasets to address specific biological questions and designing pipelines for statistical genetics programs for both basic and translational research purposes. Additionally, you will be expected to write manuscripts and contribute to various research studies while managing project deliveries, responding to customer queries, and addressing custom requirements from clients. As a Senior Bioinformatician, you must possess a basic understanding of molecular biology and genomics. Hands-on experience in NGS data analysis, including RNA-seq, Exome-seq, ChIP-seq, and downstream analysis, is essential. Proficiency in programming using Perl or Python, as well as experience in designing and developing bioinformatics pipelines, is required. Preferably, you should also have experience in statistical programming using R, Bioconductor, or Matlab. Knowledge in WGS, GWAS, and population genomics is advantageous. You should be adept at handling big data and capable of guiding team members across multiple projects simultaneously. Collaboration with different groups of clinical research scientists for various project requirements is expected. The ability to work effectively as part of a team or independently with minimal support is essential for success in this role.,

As a DWS Risk Manager - Investment Risk Models, AVP at Deutsche Bank Group in Pune, India, you will play a crucial role in overseeing the investment risk of DWS fiduciary portfolios. Your responsibilities will include developing, testing, and documenting both in-house and vendor-provided models, as well as designing and implementing compensating controls to address identified model weaknesses. You will be responsible for maintaining and enhancing existing risk models to deliver high-quality analytics and insights for the Investment and Product Divisions. Additionally, you will coordinate and document model development activities in collaboration with model vendors and key stakeholders to contribute to the development and continuous improvement of the Model Risk Program for Investment Risk in liquid products. To excel in this role, you should possess a Masters degree in mathematics, Statistics, Quantitative Finance, Physics, or a related field; a PhD is a plus. You must have a minimum of 5 years of proven experience in the financial industry, ideally in Model Development, Model Validation, Valuation, Risk Management, or Portfolio Management. Demonstrated expertise in developing and applying analytical models for financial instruments is essential, along with familiarity with regulatory frameworks related to model risk in the asset management industry. Strong programming skills in languages such as Python, MATLAB, or R, as well as experience with databases (SQL) are required. Prior experience with BlackRock Solutions Aladdin is preferred. Excellent verbal and written communication skills are necessary to effectively communicate with management, and a proactive mindset with a focus on process improvement and innovative solution development is key. Strong organizational skills and the ability to manage multiple priorities effectively are also essential. At Deutsche Bank Group, you will have access to training and development opportunities to excel in your career, coaching and support from experts in your team, and a culture of continuous learning to aid progression. The company strives for a culture where employees are empowered to excel together every day, acting responsibly, thinking commercially, taking initiative, and working collaboratively. Deutsche Bank Group promotes a positive, fair, and inclusive work environment and welcomes applications from all people. Join Deutsche Bank Group and be part of an industry-leading firm with a global presence. Lead ambitious opportunities, shape the future of investing, and support clients, local communities, and the environment. As a DWS Risk Manager - Investment Risk Models, AVP, you will have the chance to achieve your goals and lead an extraordinary career while working alongside some of the industry's greatest thought leaders. As Investors for a new now, together we share and celebrate the successes of our people.,

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview TE Connectivity s R&D/Product Development Engineering Teams conceive original ideas for new products, introduce them into practice. They are responsible for product development, and qualification from market definition through production and release; assist in the qualification of suppliers for new products to ensure suppliers deliver quality parts, materials, and services for new or improved manufacturing processes; conduct feasibility studies, testing on new and modified designs; direct and support detailed design, testing, prototype fabrication and manufacturing ramp. The R&D/Product Development Engineering Teams provide all required product documentation including, but not limited to, Solid Model, 2D/3D production drawings, product specifications, and testing requirements. They create and modify detailed drawings and drafting or conceptual models from layouts, rough sketches or notes and contribute to design modifications to facilitate manufacturing operation or quality of product. Typical fields of expertise includematerials, mechanics and systems, electrical, optics, chemistry, software, automation systems, packaging, testing and measurement, and manufacturing of electrical, mechanical and electronic components, products, and their integration into systems. Responsibility: Design and analysis of RF and/or Mixed Signal hardware Conduct detailed electrical design, supporting prototype and final hardware build & test Carry out component selection, schematic capture and PCB layout of parts Lead RF hardware projects from design to test to delivery through proper design methodology. Ensure on time delivery and first time right approach in all the project deliverables. Work with local and global counterpart / stake holder for ensuring quality deliverable and project execution. Interface with system, mechanical, software, and other engineers for ensuring design and task completion Work closely with third party vendor / supplier to define the technical requirements for the product and project execution. Mentor the new team members on design and development of RF product design Desired Candidate Profile Education/ Knowledge: BE/BTech with specialization in Electronics & Communications Engineering Min 5 years of experience in RF Microwave board design and development Critical experience: Experience with RF Microwave design for aerospace & defense applications Knowledge of RF circuit design for communication applications e.g., RF amplifiers, Filters. Knowledge about transmission line theory, analysis, and design aspects Understanding Antenna theory, its interfacing, UHF signal conditioning, communications systems blocks, and waveguides. Experience with ADS or Microwave Office, Cadence, Sonnet and HFSS software applications Familiarity with standard test equipment such as oscilloscopes, power meters, logic analyzers, signal/spectrum analyzers, etc. Familiarity with EMI/EMC requirements, qualification processes and electronics documentation Familiarity with optical transceivers will be an added advantag COMPETENCIES Technical capabilitiesExpert functional/domain knowledge Strong Technical Aptitude with Willingness to learn new Technologies quickly Competencies EOE, Including Disability/Vets Location

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview TE Connectivity s R&D/Product Development Engineering Teams conceive original ideas for new products, introduce them into practice. Overall objective is to perform principle key simulations for new or existing products during the product development process of electromechanical relays. Additionally, support in simulation roadmap development will be carried out. Furthermore, active participation in the simulation centre of competence will further expand the simulation community. Job Responsibilities Supporting product development by means of electromagnetic simulations Supporting product development by means of structural simulations Research and self-study related to simulation roadmap development Cooperation in a dynamic team Participation in a simulation engineering community What your background should look like: B.Tech in Electrical Engineering, Mechanical Engineering or similar. Mtech in similar fields is preferable. Proficient level of English. Sound knowledge of ANSYS products, or similar Sound knowledge of relay basics and electromagnetism. 4+ years of experience in the field of simulations. Proficiency in MS Office. Competencies Location

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview Designs a complete and complex Simulation framework, system, or product. Define simulationprocesses for technical platforms, system specifications, input/output and working parameters for hardware and/or software compatibility. Conceives system interfaces and business application prototypes. Identifies, analyzes and resolves system design weaknesses. Influences the shaping of future products by contributing to the framework (architecture) used across multiple products or systems. What your background should look like: Competencies Location

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview As a Test and Validation Engineer for TE Connectivity you will focus on test system design and verification-validation testing of high-speed products in cable assemblies targeting high speed communications and connectivity within datacenters and wireless infrastructure. You will be expected to independently work on projects in the areas of validation for product, test system design including selection of hardware and programming. You will work collaboratively within a broader cross functional team of electrical, mechanical, manufacturing, & operations to execute leading edge products designs. You will be the responsible for the electrical validation of a product/platform beginning with the initial analysis and leading into production verification testing and manufacturing. You will tackle challenging design problems and utilize cutting edge hardware and software tools to guide complex designs toward success. Responsibilities Responsibilities Subject matter expert in high-speed test systems and validation activities through product development cycles Testing, performance enhancement, and validation of high-speed cable assemblies using BERT s, network switches, traffic generators, etc. Establishing testing requirements for new products based on electrical and software specifications Development of high-speed cables test systems/fixtures from conception to manufacturing deployment Test system architecture, system diagramming, test software, hardware build, and validation into manufacturing of product Creating actionable recommendations based upon design reviews and product specifications Making data driven decisions about the product functionality and areas for improvement. Required Skills Bachelor s degree in Electrical Engineering, Master s degree preferred Minimum of 10+ years of work experience in a high-speed test engineering role Experience with cable/cable assembly designs (high speed twin-ax cables, direct attach copper (DAC) cables, active copper cables) Experience with high speed test equipment (Digital Sampling Oscilloscope, Vector Network Analyzer, Bit Error Rate Tester, TDR, Pattern Generators, Power Supplies, etc.) Strong experience with Python Strong analytical capabilities to interpret test/lab data to identify issues and provide solutions to fix identified problem. Experience in project leadership, especially as it applies across design, development & manufacturing teams Excellent verbal and written communication skills Ability to work in a global environment - able to accommodate varying time zones, fluent in English (verbal/written), able to collaborate with individuals across geographies Individual must be highly motivated, a quick learner, and able to work independently Nice to have Skills/Experience: Familiarity with embedded systems and ANSI C Familiarity with NI Test Stand Familiarity with signal conditioning techniques (equalization, amplification, FIR s, CTLE s) Familiarity with SFF/IEEE specifications for high speed cable assemblies Familiarity with PAM4/8 and other higher order modulation techniques Six Sigma methodologies or other strong data analytics background a PLUS Competencies Location