3540 Matlab Jobs

Job Description Overview This role is a technical lead role within ICC, Hyderabad that will co-ordinate with Data Science and Analytics team on creation of new digital capabilities and sustaining existing digital capabilities. This role will act as the key technical expert dedicated to Foods Packaging Modeling & Simulation development (70%). This role also has the managerial responsibility of leading all DSA-ICC associates (30%). This role will act as one of the key technical specialists for packaging modeling & simulation. This role also will serve as local simulation team Lead to drive overall deliverables. The role will be responsible for performing simulations using FEM, DEM, CFD and other techniques and providing insights that influence the design and development of R&D applications, with focus on Foods Packaging applications. This role will also Collaborate with internal and external stakeholders in a global setting and will support Troubleshooting & Problem Solving to Diagnose and resolve issues related to simulation models and results. This role also is responsible for developing 3DX Apps, Graphical User Interfaces (GUI) and simulation templates. This role will also provide leadership to all simulation and modelling teams ( including other associates ). Responsibilities Lead a team of Modelling, Simulation and other SMES of DSA team ( Including Bev Pkgs Teams) based out of Hyderabad. Provide Strategic direction in alignment with global teams and ensure timely delivery of Committed projects. Functional Responsibilities Deliver Foods Packaging Simulation models and apps per Simulation Roadmap and Timeline above Deliver modeling and simulation projects using 3DX, other general purpose and specialized numerical software. Collaborate with Dassault experts directly on delivering perfect packaging simulation templates and apps Design and develop innovative experiments to validate and improve models. Support other senior simulation engineers on assigned simulation tasks including CAD creation, CAD cleaning, meshing, pre-processing, post processing, creating visuals of data Work with external partners, software vendor, university, engineering firms, to develop technologies needed to fulfil PepsiCo need. Additional responsibilities in combining physics-based simulation, sensor technology, data analytics (AI/ML) to deliver digitized innovation projects (digital twin), Support Computational Chemistry projects by data collection and literature research New technology introduction and implementation Qualifications PhD. with simulation concentration and 8+ years of work experience, MS with 10+ years experience Background in mechanical engineering, solid mechanics or related field Packaging experience with cardboard boxes, films, pallets, is a big plus but not necessary Hands-on experience with commercial software - CFD (ANSYS FLUENT, STAR-CCM+), FEA (ABAQUS, ANSYS Mechanical), DEM (ROCKY, EDEM), COMSOL. Knowledge about computational chemistry (hands on software experience with MOE, Shrodinger a plus) Experience designing and conducting physical testing required to formulate and/or calibrate models, i.e., Wind tunnel, mechanical testing, thermal measurements, Data Acquisition, High speed imagery, etc. Experience with Python, MATLAB, R, JMP a plus. Experience with VR/AR assets creation using KeyShot, Unity, Unreal, or Omniverse a plus. Knowledge and experience in food/beverage production and process engineering a plus – extrusion, drying, frying, mixing, filling, food safety. Strong project management and communication skills. Ability to collaborate with internal and external partners in a global setup. Robust understanding of engineering principle with experience in the area of fluid dynamics, thermodynamics and heat transfer. Experience with state-of-the-art modeling software that capable to model multi-physics problem involving multi-phase fluid flow and heat transfer in engineering and manufacturing processes. Knowledge of how to use simulation to evaluate new and novel technologies for PepsiCo’s innovation in processing/packaging.

Job Description When you join Honeywell, you become a member of our global team of thinkers, innovators, dreamers, and doers who make the things that make the future. That means changing the way we fly, fueling jets in an eco-friendly way, keeping buildings intelligent and safe and even making it possible to breathe on Mars. Working at Honeywell isn’t just about developing cool things. That’s why all of our employees enjoy access to dynamic career opportunities across different fields and industries. Why Honeywell? Honeywell changes the way the world works. For more than 130 years, we’ve solved the toughest customer challenges through a rare combination of our industrial expertise and our innovations in groundbreaking software and technology, and industry-leading automation. This perfection is built on a foundation of inclusion, diversity and driving a performance culture that values integrity and ethics. Skill Requirements The Mech Design Engineer II for Engine Systems and Components Analyses in Engines and Power Systems will primarily focus on fluid-structure interaction challenges utilizing finite element modeling and analysis. The role involves using tools such as ANSYS, LS DYNA, and NASTRAN to analyze turbofan engines. Responsibilities include building models, running analysis, post-processing results, preparing review presentations, addressing action items and documenting analysis outcomes. Educational qualifications and experiences Strong foundational knowledge in Mechanical Engineering concepts keen aptitude for implementing algorithms and automation using software such as MATLAB and scripting languages like BASH. Excellent problem-solving abilities and communication skills are essential. Hands-on experience with meshing software such as Hypermesh, ANSA, or ANSYS is preferred. Experience in fluid-structure interaction and impact analysis using tools like LS-DYNA is advantageous. Familiarity with implicit/explicit finite element theory and contact algorithms is a plus. About Us Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable. Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.

Roles in DMPK we are hiring for : Bioanalytical / Peptides, Antibody drug conjugates and ASOs In vitro ADME / cell biology, cell permeability hepatocytes, 3D cultures, image analysis, drug transporters and enzymology PK/PD, Modeling and Simulations / Pheonix WinNonlin, R, Monolix, NONMEM, MATLAB, or any other custom-built software In vitro Toxicology/ 3D cultures-Organoids and Spheroids Key Responsibilities : Knowledge of data compilation and interpretation for test compound classification systems, either as substrates or uptake inhibitors. Ability to understand and read data, identify data variability, and participate in data review cycles with the QA team. Commitment to delivering data within agreed timelines (< 7 days) and strong work ethics to complete assigned tasks. Excellent communication and collaboration skills, working closely with team members. Good oral and written communication skills. Education and Experience: M Pharm (Pharmacology/Pharmaceutics) with 3-8 years of experience or MSc with 6-8+ years of experience in DMPK of small molecule drug discovery and development, preferably in a CRO or Biotech/Pharma industry. Knowledge of FDA and EMA industry guidan

We are seeking a passionate and knowledgeable Academic Instructor specializing in electronics to join our team. The ideal candidate will have strong expertise in electronics principles and a commitment to inspiring and mentoring students through innovative teaching and practical application. Key Responsibilities 1. Teaching Deliver engaging lectures, hands-on lab sessions, and workshops in electronics subjects such as circuit analysis, digital electronics, and microcontrollers. Design interactive activities and projects to bridge theory and practical skills in circuit design, troubleshooting, and instrumentation. 2. Curriculum Development Develop, update, and maintain course syllabi, instructional content, and lab experiments in alignment with current industry practices and emerging technologies. Integrate real-world case studies and industry examples to deepen student understanding of electronics. 3. Assessment Create and administer quizzes, exams, and practical tests to assess theoretical knowledge and problem-solving capabilities. Provide timely and constructive feedback to support student progress and academic success. 4. Advising & Mentorship Guide students in course selection, program planning, and career development in electronics and related fields. Mentor students pursuing research, internships, and certifications, helping them achieve their academic and professional goals. 5. Research & Innovation Participate in research and innovation in areas such as analog/digital circuit design, embedded systems, IoT, robotics, and signal processing. Present research findings through publications, conferences, and collaborative industry projects. 6. Professional Development Stay updated with the latest advancements in electronics and pedagogy through workshops, seminars, and industry engagement. Continuously explore innovative teaching techniques and technologies to enhance the learning experience. Required Skills Deep knowledge of electronics principles, including circuit analysis, semiconductor devices, and simulation/design software (e.g., MATLAB, SPICE, CAD tools). Strong communication and presentation skills to effectively engage diverse learners. A student-focused approach, with the ability to foster a positive and inclusive learning environment. Passion for continuous learning, professional growth, and academic innovation. Qualifications: Bachelor’s or Master’s degree in Electrical Engineering, Electronics Engineering, or a closely related field with a specialization in electronics. Job Type: Full-time Pay: ₹16,000.00 - ₹30,000.00 per month Ability to commute/relocate: Calicut, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Work Location: In person

Company Description We are a technology startup located in Chalakudy, Thrissur, Kerala, specializing in the design and development of advanced Battery Management Systems (BMS) for Electric Vehicles (EVs) and Energy Storage Systems (ESS). Our solutions are engineered for performance, safety, and scalability to support the evolving demands of the clean energy and e-mobility sectors. Role Description We are inviting applications for an Embedded Software Internship program at Shade Energy Pvt. Ltd., suitable for candidates who are interested in the field of Firmware programming, Modelling and Simulation, C- programming, Data flow programming. Skills Preferred Excellent in basic C programming Familiar with C-programming concepts (like RTOS, State machines, OOP, Structures) Familiar with dataflow programming tools like labVIEW, MATLAB Simulink etc. Other preferences Candidates in Kerala preferred especially within a 100km proximity Ready to work in a competitive Startup firm Job Type: Internship Contract length: 6 months Pay: ₹5,000.00 per month Benefits: Commuter assistance Application Question(s): Are you ready to Relocate/commute to this Location: Chalakudy,Thrissur,Kerala? Education: Bachelor's (Required) Work Location: In person

Job Title: Power Electronics Engineer Location: Job Type: Full-Time Experience Level: 3 to 4 years of experience Department: R&D / Product Development Job Summary: We are looking for a skilled and innovative Power Electronics Engineer to join our engineering team focused on the design, development, and optimization of EV charging systems, including AC chargers, DC fast chargers, and on-board chargers. You will play a key role in developing high-efficiency, cost-effective, and robust power conversion solutions for the next generation of EV charging infrastructure. Key Responsibilities: Design and develop power electronic circuits and systems for AC-DC, DC-DC, and DC-AC converters. Work on the development of DC fast chargers (CCS, CHAdeMO) and AC Level 1/Level 2 chargers. Simulate and model power stages using MATLAB/Simulink, LTspice, PSpice, or equivalent tools. Select suitable components (MOSFETs, IGBTs, SiC/GaN devices, transformers, etc.) for high-frequency and high-power applications. Design and optimize PCB layouts for thermal and EMI/EMC performance in high-power environments. Collaborate with firmware engineers to implement and optimize digital control algorithms (e.g., PFC, current/voltage control loops). Ensure products comply with industry standards such as IEC 61851, ISO 15118, and UL certifications. Conduct performance testing, validation, and troubleshooting of prototypes in the lab environment. Interface with mechanical, thermal, and embedded software teams to ensure seamless integration of charger subsystems. Document technical designs, test results, and product specifications. Required Qualifications: Bachelor’s or Master’s degree in Electrical Engineering, Power Electronics, or related field. 3 to 4 years of hands-on experience in power electronics design, preferably in the EV or renewable energy sector. Strong understanding of topologies like interleaved boost converters, full/half-bridge converters, resonant converters, and LLC/ZVS/ZCS techniques. Experience with EV charger protocols and grid compliance standards. Proficiency with design and simulation tools: Altium, OrCAD, MATLAB/Simulink, PLECS. Knowledge of thermal and EMI/EMC design considerations. Strong debugging and analytical skills with lab tools (oscilloscopes, current probes, electronic loads, etc.). Familiarity with CAN, Modbus, or OCPP communication protocols. Understanding of battery charging algorithms and battery management systems (BMS). Knowledge of grid-tied power electronics and V2G (Vehicle-to-Grid) technology. Certification in relevant automotive or power electronics courses is a plus. Job Type: Full-time Pay: ₹8,366.50 - ₹31,872.74 per month Schedule: Day shift Application Question(s): Is JD related to your profile? Are you an immediate joiner? 3 years experience is mandatory Work Location: In person

This Job is based in Australia One of Australia’s leading research & teaching universities Vibrant campus life with a strong sense of community & inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best people come to do their best work. The School of Mathematics and Statistics currently has more than eighty continuing academic staff and more than thirty research staff as well as visiting academics. UNSW is the only university in Australia to be ranked in the top 100 in the world in mathematics and statistics by CWTS Leiden, US News and QS. The School embodies a broad range of research interests in the areas of applied and pure mathematics, and statistics. The Research Associate will undertake collaborative and self-directed research on an ARC-funded Discovery Project titled “High Dimensional Approximation, Learning, and Uncertainty”. The aim of the project is to devise and apply innovative schemes for high-dimensional approximation. These schemes will be of proven reliability and accuracy, able to handle variables or uncertain parameters numbering in the hundreds or more, fast in execution, and tailored to specific applications. THIS ROLE IS BASED IN SYDNEY, AUSTRALIA. About The Role Level A - $113K - $121K plus 17% Superannuation and annual leave loading Fixed Term – 2 years Full-time (35 hours per week) The role reports to Professor Frances Kuo and Professor Ian Sloan and has no direct reports. Specific Responsibilities For This Role Include Conduct research in the area of High Dimensional Approximation, Uncertainty Quantification, Deep Learning, and Quasi-Monte Carlo Methods independently and as part of a team, including leading some areas of the project where the opportunity arises and where appropriate. Contribute to the writing of scientific papers and reports for international journals and progress reporting to other researchers and industry partners. Assist with the coordination of research activities and actively contribute to research outputs to meet project milestones. Contribute to the preparation of research proposal submissions to funding bodies and actively seek collaboration with industry partners as appropriate. Participate in and/or present at conferences and/or workshops relevant to the project as required. Joint supervision of honours and HDR students. Align with and actively demonstrate the Code of Conduct and Values Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your actions or omissions do not impact on the health and safety of yourself or others. About The Successful Applicant (Selection Criteria) To Be Successful In This Role You Will Have A PhD in Mathematics, preferably in computational mathematics or related area. Demonstrated ability to conduct independent research with limited supervision. Strong interpersonal skills with demonstrated ability to communicate and interact with a diverse range of stakeholders and students. Demonstrated knowledge in Quasi-Monte Carlo methods and/or finite element analysis and/or machine learning is highly desirable. Strong computer programming experience, preferably with Matlab, C++, or Python. Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships. Evidence of highly developed interpersonal skills. Demonstrated ability to communicate and interact with a diverse range of stakeholders and students. An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines. Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training. You should systematically address the selection criteria listed within the position description in your application. For informal queries, please see the below contact details. Otherwise, please apply online - applications will not be accepted if sent directly to the contact listed . Contact : Frances Kuo E: f.kuo@unsw.edu.au Applications close: August 8th, 2025 Find Out More About Working At UNSW At Www.unsw.edu.au UNSW is committed to equity diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment.

This Job is based in Australia One of Australia’s leading research & teaching universities Vibrant campus life with a strong sense of community & inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best people come to do their best work. The School of Mathematics and Statistics currently has more than eighty continuing academic staff and more than thirty research staff as well as visiting academics. UNSW is the only university in Australia to be ranked in the top 100 in the world in mathematics and statistics by CWTS Leiden, US News and QS. The School embodies a broad range of research interests in the areas of applied and pure mathematics, and statistics. The Research Associate will undertake collaborative and self-directed research on an ARC-funded Discovery Project titled “High Dimensional Approximation, Learning, and Uncertainty”. The aim of the project is to devise and apply innovative schemes for high-dimensional approximation. These schemes will be of proven reliability and accuracy, able to handle variables or uncertain parameters numbering in the hundreds or more, fast in execution, and tailored to specific applications. THIS ROLE IS BASED IN SYDNEY, AUSTRALIA. About The Role Level A - $113K - $121K plus 17% Superannuation and annual leave loading Fixed Term – 2 years Full-time (35 hours per week) The role reports to Professor Frances Kuo and Professor Ian Sloan and has no direct reports. Specific Responsibilities For This Role Include Conduct research in the area of High Dimensional Approximation, Uncertainty Quantification, Deep Learning, and Quasi-Monte Carlo Methods independently and as part of a team, including leading some areas of the project where the opportunity arises and where appropriate. Contribute to the writing of scientific papers and reports for international journals and progress reporting to other researchers and industry partners. Assist with the coordination of research activities and actively contribute to research outputs to meet project milestones. Contribute to the preparation of research proposal submissions to funding bodies and actively seek collaboration with industry partners as appropriate. Participate in and/or present at conferences and/or workshops relevant to the project as required. Joint supervision of honours and HDR students. Align with and actively demonstrate the Code of Conduct and Values Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your actions or omissions do not impact on the health and safety of yourself or others. About The Successful Applicant (Selection Criteria) To Be Successful In This Role You Will Have A PhD in Mathematics, preferably in computational mathematics or related area. Demonstrated ability to conduct independent research with limited supervision. Strong interpersonal skills with demonstrated ability to communicate and interact with a diverse range of stakeholders and students. Demonstrated knowledge in Quasi-Monte Carlo methods and/or finite element analysis and/or machine learning is highly desirable. Strong computer programming experience, preferably with Matlab, C++, or Python. Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships. Evidence of highly developed interpersonal skills. Demonstrated ability to communicate and interact with a diverse range of stakeholders and students. An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines. Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training. You should systematically address the selection criteria listed within the position description in your application. For informal queries, please see the below contact details. Otherwise, please apply online - applications will not be accepted if sent directly to the contact listed . Contact : Frances Kuo E: f.kuo@unsw.edu.au Applications close: August 8th, 2025 Find Out More About Working At UNSW At Www.unsw.edu.au UNSW is committed to equity diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment.

Job Title: Freelance Technical Content Writer (Java, Python, MATLAB, R + UML Diagrams) Job Type: Freelance / Project-based Location: Remote Duration : On-demand (project-based with ongoing opportunities) Compensation: Per project or per word (negotiable based on complexity & quality) About the Role We are seeking a skilled and reliable freelance technical content writer who can work with us on a project or contract basis to deliver clean, well-structured, and professional-level documentation. You will create high-quality written content involving programming concepts, software project reports, user manuals, academic articles, and visual diagrams (e.g., UML, class, activity diagrams). Key Responsibilities Write technical documentation, tutorials, and project reports involving: Java, Python, MATLAB, and R * Prepare clean code snippets with proper explanation. * Design and include professional diagrams such as: *UML Diagrams (Use Case, Class, Activity, Sequence, etc.) * System Architecture, Flowcharts, Entity Relationship Diagrams (ERD) * Interpret project requirements and turn them into detailed, structured write-ups. * Maintain originality, accuracy, and clarity in all deliverables. * Optional: Support academic-style writing (IEEE/APA/MLA citations, etc.) Required Skills * Strong command of technical writing in English. * Basic programming understanding in Java, Python, *MATLAB, and R. * Experience creating UML and software engineering diagrams Nice-to-Have * Past experience with academic writing or project report creation * Graphic design ability (for clean visual illustrations or PDF formatting). * Research and summarization skills for tech domains like AI, ML, cybersecurity, etc. How to Apply If you're interested, send us: * A brief introduction about yourself * Your portfolio or sample technical work * Tools you use for diagramming and formatting email at : elegantresearchsolution@gmail.com

Date: Aug 1, 2025 Location: Pune, MH, IN Apply now » Apply now Apply for Job Enter your email to apply Position Summary With Job Responsibilities To design,develop, validate and deploy the connected car functional use cases, Cloud platform logical architecture solution for connected car use cases in line with defined Technical Policy and Technology Roadmap. To define design Standards & Carryover Strategy of Backend, Applications and drive it's engineering, aligned to the QCT of the projects. Also responsible for critical issue resolution and Deviation Approval. Education Bachelor of Engineering in Electrical Work Experience 3-6 years of experience Working knowledge of the overall automotive system, functional aspects, design, interfacing, application, testing and integration. Knowledge of ‘V’ cycle development from concept to production from an OEM perspective. Knowledge of requirement and configuration management tools like DOORS Familiarity of simulation tools - like MATLAB, SIMULINK, Enterprise Architect Knowledge of automotive communication and Diagnostic protocols (CAN, LIN, UDS etc) Should be able to evaluate supplier proposals and provide technical recommendation Excellent communication skills. Ability to work with cross functional team to achieve the required functional / cost / weight /timing & quality Knowledge of architecting the connected car use cases, detailing out the functional requirements, system level FMEA Knowledge of Azure, AWS cloud platform service blocks and cloud architecture for platform development Knowledge of IOT Devices (Health Band, Smart Glasses, Biometric sensros, etc) Knowledge of Ethernet, Wi-Fi, USB,Bluetooth (BT & BLE),GPS, GSM, 3 Axis Acceleratometer technologies Knowledge of Cyber Security Global standards (Device Security, Protocol Security, Cloud Security, Application Security) Knowledge of Data privacy, protection strategies for various data types Knowledge of connected car system validation cycle in automitive context Tata Motors Leadership Competencies Developing Self and Others - Recognizing continuous development is essential for success and taking steps to develop self and helping others to excel Leading Change - Recognizing the need for change, initiating and adapting to change Driving Execution - Translating strategy into action and execution Leading by Example - Encouraging and following ethical standards Motivating Self and Others - Inspiring teams and individuals Customer Centricity - Anticipating, understanding and focusing efforts on meeting the customer (stakeholders) needs or expectations Functional Competencies Tags Apply now » Apply now Apply for Job Enter your email to apply

Key Responsibilities: • Design, develop, and tune closed-loop control algorithms (PID, state-space, adaptive, etc.) for realtime embedded systems. • Develop control software in C/C++, Python, or MATLAB/Simulink for deployment on microcontrollers or embedded Linux platforms. • Simulate and validate control models using MATLAB/Simulink or equivalent tools before deployment. • Integrate control systems with sensors, actuators, and real-time data acquisition systems. • Collaborate with embedded software and hardware teams to implement control logic on target hardware. • Perform system identification, modelling, and plant parameter estimation. • Optimize software and control performance for latency, stability, and robustness. • Participate in code reviews, test strategy development, and system debugging. • Document algorithms, interfaces, and tuning processes thoroughly. Required Qualifications: • Bachelor’s or Master’s degree in Control Systems, Electrical Engineering, or a related field. • 10+ years of experience in control systems engineering with embedded or real-time systems. • Strong understanding of control theory (PID, LQR, observers, Kalman filters, etc.). • Proficiency in programming languages: C/C++, MATLAB/Simulink, and Python. • Hands-on experience with embedded systems (e.g., ARM Cortex-M/R, DSPs, FPGAs). • Experience with real-time operating systems (RTOS) or bare-metal systems. Preferred Qualifications: • Experience with model-based design (MBD) workflows and auto-code generation using Simulink. • Familiarity with signal processing, estimation, and sensor fusion. • Experience with control systems in robotics, automotive (e.g., motor control, chassis control), or power electronics. • Understanding of CAN, SPI, I2C, and other real-time communication protocols. • Exposure to version control systems (Git), CI/CD pipelines, and test automation. • Familiarity with safety-critical software standards (e.g., ISO 26262, DO-178C) is a plus. Tools & Technologies: • MATLAB/Simulink, Control System Toolbox • Embedded C/C++, Python • RTOS platforms (e.g., FreeRTOS, Zephyr) • Version control (Git), JIRA, Confluence • Hardware-in-the-loop (HIL) simulation platforms

Job Title - Senior Ansys Analyst (Aero) Company - Drones Tech Lab™ Experience - 5+ years Industry - Aerospace & Defence (UAV) Location - Kolkata, West Bengal Company Description Drones Tech Lab™ is a leader in India's unmanned aerial systems sector, driving innovation in drone design, manufacturing, pilot training and mission-critical deployments. With a focus on both hardware and simulation excellence, we develop high-performance UAV systems for a range of applications, including surveillance, mapping, defense, and industrial automation. Our in-house R&D and testing capabilities make us a preferred partner for end-to-end drone solutions. About the Role We are looking for a highly experienced Senior Ansys Analyst (Aero) with a strong background in aerodynamics simulation, CFD, and FEA using Ansys suite of tools. You will be responsible for conducting aerodynamic simulations and structural analyses on fixed-wing and rotary UAV platforms to optimize performance, stability, and efficiency. This role involves working closely with mechanical, flight systems, and design teams to validate critical aero-structural performance across all phases of UAV development. Responsibilities Perform CFD (Computational Fluid Dynamics) analysis for fixed-wing and multirotor UAVs under various flight conditions. Conduct FEA (Finite Element Analysis) for structural integrity, vibration, and thermal stress evaluations. Optimize aerodynamic performance for stability, lift-to-drag ratio, and energy efficiency. Analyze flow behavior, pressure distribution, boundary layers, and wake regions. Correlate simulation results with wind tunnel and field data to validate model accuracy. Contribute to design refinement and structural improvements based on simulation insights. Support airframe development by validating load-bearing structures and flight loads. Work with design and systems engineering teams to implement simulation-driven development. Generate detailed reports, validation matrices, and documentation for internal and regulatory use. Contribute to best practices in simulation workflows and automation processes. Qualifications 5+ years of experience in aero-structural simulation using Ansys Fluent, Ansys Mechanical, or equivalent tools. Bachelor’s or Master’s degree in Aerospace Engineering, Mechanical Engineering, or related discipline. Strong background in aerodynamics, fluid mechanics, and structural mechanics. Proven experience with meshing techniques, turbulence models, boundary condition setup, and solver settings. Ability to perform modal, static, dynamic, and thermal analysis for UAV structures. Familiarity with airfoil theory, Reynolds numbers, and aero design constraints in small UAVs. Proficiency in report generation, result interpretation, and integration with CAD tools (e.g., SolidWorks, Fusion 360). Knowledge of scripting (Python/MATLAB) for simulation automation is a plus. Desirable Skills & Interests Prior work experience in UAV airframe design, prototyping or testing environments. Exposure to wind tunnel testing, structural fatigue analysis and material selection. Familiarity with UAV control surfaces, aero-elastic behaviour and flutter analysis. Interest in drone performance tuning, optimization, or flight envelope expansion. Skills Ansys Fluent, Ansys Mechanical, CFD, FEA, Aerodynamic Simulation, Structural Analysis, UAV Airframe Validation, Meshing, Lift-to-Drag Optimization, Vibration Analysis, Python, MATLAB, Airfoil Performance, Wind Tunnel Correlation Benefits Competitive salary Work on industry-grade UAV systems used in real-world missions Collaborative work culture with engineers across avionics, mechanical, and embedded teams Access to simulation hardware and cloud compute resources Opportunities to lead advanced aero-R&D projects Join Our Team If you are passionate about aero simulation, drone design and pushing the boundaries of aero-structural performance, Drones Tech Lab™ invites you to join our simulation and analysis team.

Apply with your résumé. Shortlisted candidates will receive a brief technical challenge. The top solution wins ₹1,00,000 and will receive a full-time job offer. Strong runners-up may also be considered for offers. Role Summary Senior/Lead mechanical design for thermal/heat‑exchanger and related assemblies. You’ll create SolidWorks‑driven product definition (models, large assemblies, drawings, PDM) and back it up with sound engineering calculations and simulation (FEA/CFD) to deliver designs that are robust, manufacturable, and performance‑verified. What You’ll Do Engineering calculations: Prepare concise calc packs for heat transfer, pressure drop/flow, and basic structural checks; use calcs to frame/validate simulation and design choices. Simulation & validation: Run SolidWorks Simulation (or ANSYS) for static/thermal/modal; execute targeted CFD for flow/pressure‑drop as needed; correlate with hand calcs and test data. SolidWorks ownership: Build robust parametric parts/assemblies; manage configurations/design tables; release production‑ready drawings with proper GD&T (ASME Y14.5) and BOMs. PDM & change control: Use SolidWorks PDM (or similar) for versioning, approvals, and ECOs; maintain clean design intent and references. DFM/DFA & collaboration: Partner with manufacturing/suppliers on materials, processes, and tolerances; participate in design/peer reviews; document decisions, risks, and mitigations. Documentation: Maintain specs, calculation notes, and release packages that are audit‑ready and easy for others to use. Must‑Have Qualifications SolidWorks expertise: Advanced proficiency with parts/assemblies, surfacing or sheet metal, weldments, routing, and drawing standards. Certifications: CSWP required; CSWE preferred. Advanced topic certs (e.g., CSWPA—Sheet Metal, Weldments, Surfacing, Drawings; Simulation cert) are a strong plus. Engineering fundamentals: Demonstrated ability to do first‑principles calculations (thermal/flow/strength) and to sanity‑check/guide simulations with back‑of‑the‑envelope estimates. Mathcad/EES/Excel for calc templates; Python/MATLAB for quick studies and report automation. Simulation: Hands‑on with SolidWorks Simulation (or ANSYS Mechanical/Fluent/CFX) for thermal/structural and basic CFD studies. Manufacturing literacy: Comfortable with DFM/DFA, materials selection, and supplier communication; working knowledge of common fabrication and inspection methods. Communication: Clear technical writing, design‑review participation, and cross‑functional collaboration skills. Education: B.E./B.Tech or M.E./M.Tech in Mechanical (or related). Nice to Have Experience with heat‑exchanger types or broader thermal systems. Familiarity with TEMA/ASME practices, quality systems, and basic NDE exposure. PDM/PLM (SolidWorks PDM) and release processes in an ISO/AS environment. Why Join Mechapixel? At Mechapixel, we champion innovation and sustainability through world-class mechanical engineering. You’ll work alongside top-tier engineers on projects that shape the future of climate-focused thermal systems. We offer: Remote Work Flexibility: Collaborate with a global team from the comfort of your home. Competitive Compensation: Receive recognition and reward for your expertise and contributions. Impactful Projects: Engage in work that supports clean energy, sustainable design, and environmental innovation.

Company Description We are a technology startup located in Chalakudy, Thrissur, Kerala, specializing in the design and development of advanced Battery Management Systems (BMS) for Electric Vehicles (EVs) and Energy Storage Systems (ESS). Our solutions are engineered for performance, safety, and scalability to support the evolving demands of the clean energy and e-mobility sectors. Role Description We are inviting applications for an Embedded Software Internship program at Shade Energy Pvt. Ltd., suitable for candidates who are interested in the field of Firmware programming, Modelling and Simulation, C- programming, Data flow programming. Skills Preferred Excellent in basic C programming Familiar with C-programming concepts (like RTOS, State machines, OOP, Structures) Familiar with dataflow programming tools like labVIEW, MATLAB Simulink etc. Other preferences Candidates in Kerala preferred especially within a 100km proximity Ready to work in a competitive Startup firm Job Type: Internship Contract length: 6 months Pay: ₹5,000.00 per month Benefits: Commuter assistance Application Question(s): Are you ready to Relocate/commute to this Location: Chalakudy,Thrissur,Kerala? Education: Bachelor's (Required) Work Location: In person

About Skyroot Aerospace A cutting-edge startup founded by ex-ISRO scientists. Dedicated to affordable space access, we're rewriting aerospace technology rules. Our dynamic team fosters inventiveness, collaboration, and relentless excellence. Join us on a transformative journey to redefine space possibilities. Welcome to the forefront of space innovation with Skyroot Aerospace! Essential Responsibilities: Lead a dynamic team focused on designing efficient thermal systems for launch vehicles, covering aero-thermal analysis, the design and validation of internal and external thermal protection systems (TPS), design and analysis of electronic packages, etc. Proven leadership in guiding cross-functional teams through the design process, ensuring successful thermal system integration and delivery for launch readiness. Demonstrate strong system-level thinking and the ability to provide design recommendations based on simulation and experimental data to optimize thermal performance. Preferred skills and experience: Bachelor’s or Master’s degree in Mechanical or Aerospace Engineering, with a minimum of 10+ years of relevant experience in the field. Proven expertise in thermal modelling and analysis for both external/internal Thermal Protection Systems (TPS) and electronic package thermal design, as well as solid/liquid rocket motor fluid-thermal analysis. Expertise in aerothermodynamics, including proficiency in heat transfer, thermodynamics, and high-temperature material science, specifically tailored to atmospheric re-entry conditions, supported by experience in computational tools and experimental techniques relevant to TPS design and validation. Strong problem-solving skills, with the ability to analyse challenges from a physical standpoint and deliver timely, system-level solutions. Demonstrated experience collaborating with cross-functional teams to ensure designs meet all technical, mission, and safety requirements. Good knowledge/experience in programming, applied mathematics, and high-performance computing, CFD & FEA Modelling. Skilled in developing and validating numerical models for re-entry environments, high-temperature combustion environments, including ablative material behaviour and performance of active thermal protection systems using industry-standard programming languages such as MATLAB, Python. A commitment to staying up-to-date with the latest advancements in aerospace thermal protection technologies and methodologies.

You will be responsible for working with internal teams to obtain an in-depth understanding of technical concepts and programming skills in Network Simulator tools such as NS2/NS3 and MATLAB. It is essential to have domain knowledge and be technically strong with fundamentals in the Networking Domain. Your role will involve gathering, analyzing, and composing technical information to produce high-quality research papers that meet applicable standards and are suitable for intended clients. If you are interested in this position, please send your resume to info@imatiz.com. Upon receiving your resume, we will contact you for further discussion.,

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. Data Science Manager - R&D As the Data Science Manager for the Life Science Research & Development team, you'll lead your team to create data-driven solutions using ML algorithms. You'll educate teams on machine learning models and help turn goals into data solutions. You will be responsible for applying analytical techniques to model complex business problems, uncovering insights, and identifying opportunities using statistical, algorithmic, mining, and visualization techniques. In addition to advanced analytics skills, the candidate should also be skilled in integrating and preparing large, varied datasets, implementing specialized database and computing environments, and communicating results. This role requires a combination of business focus, strong analytical and problem-solving skills, and programming knowledge to efficiently cycle hypotheses through the discovery phase of the project. What You’ll Do - Design and implement AI/ML solutions tailored to life sciences R&D needs, including drug discovery, clinical trials, and regulatory compliance. Develop and implement data science strategies that align with the overall goals of the R&D team and the organization. Lead the development of RFP responses, proposals, and POVs for potential and existing clients Build and maintain strong relationships with clients, acting as a trusted advisor on AI/ML capabilities Oversee project execution, ensuring timely and high-quality delivery Design and implement predictive models and machine learning algorithms to support research objectives Demonstrate proficiency with various approaches in regression, classification, and cluster analysis Play a key role in development of data science capabilities and offerings that create scale and advance our analytic platform; Stay current with the latest advancements in data science and life sciences, and apply this knowledge to drive innovation. Communicate findings and insights to stakeholders through reports, presentations, and publications. Provide thought leadership and innovation through research and publication. What You’ll Bring - Bachelor’s or Master’s in Data Science, Computer Science, Bioinformatics, or a related field. 10-14 years of experience in data science, with at least 2 years in a managerial role within the life sciences industry. Demonstrated experience in the life sciences industry, particularly in R&D. Proven track record of driving business development, including responding to RFPs and building POVs. Must have experience in statistical programming in R, SAS, SPSS, MATLAB, Python or TensorFlow Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks and tools. Strong analytical and problem-solving skills, with the ability to interpret complex data and derive actionable insights. Proven leadership and team management skills, with the ability to inspire and motivate a team. Excellent verbal and written communication skills, with the ability to present complex information clearly and effectively. Ability to work collaboratively in a multidisciplinary environment. If you are passionate about data science and its application in life sciences, and you have the skills and experience to lead a dynamic team, we encourage you to apply for this exciting opportunity. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com

Phone pe Mein Vacancy Hai QR Department Ke Liye (field work isme aapka work yeh rahega aapko ek area mil jayega jisme jitne customer phele se Phone pe use kar rahe h unke yaha complaint par Jana hoga aur Jinke Yaha QR Code Nahi Laga Waha Aapko Free Mein QR Code Lagana Hai iske alawa hamara ek aur product hota h Sound Box Speaker usse bhi aapko Mein Lagana Hai aur jinka Phone pe Band Hai unka wapas se chalu karna hoga Salary 20,000 fix hoti he AAP Easily har month 20000 se 21,000 tak kama sakte ho. pure din mai matlab 10 dukan par visit karna hai Sabse Best Cheej isme aapko Har 3 Mahine mein Promotions Milenge

As an Optimization Specialist, you will be responsible for building and scaling mathematical models and process optimization. Your role will involve designing and implementing optimization models such as LP, MIP, and MILP for real-world scheduling, routing, and planning scenarios. Additionally, you will be expected to construct simulation models to evaluate performance under uncertainty, collaborate with cross-functional teams to refine problem definitions, and translate them into quantitative models. You will work closely with data scientists, software engineers, and business analysts to drive predictive optimization workflows using AI/ML algorithms for forecasting, clustering, and classification. Conducting what-if analyses and sensitivity testing to support decision-making will be a crucial part of your responsibilities. Furthermore, you will support research and pilot initiatives involving Quantum-Inspired Optimization (QUBO, hybrid models) and present findings and model performance to stakeholders through clear and concise visualizations and documentation. To excel in this role, you must possess a strong knowledge of Linear Programming (LP), Mixed Integer Programming (MIP/MILP), Constraint Programming, and have experience formulating and solving large-scale combinatorial problems. Hands-on experience with Optimization libraries like Pyomo, PuLP, and solvers such as CPLEX, Gurobi, GLPK, or CBC will be beneficial. Proficiency in programming languages like Python, R, or MATLAB is essential, along with simulation expertise in tools like SimPy, AnyLogic, Arena, or equivalent for discrete-event or agent-based simulation. Your educational background should include a PhD in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related field. Additionally, applied machine learning knowledge including forecasting models, clustering, and model evaluation metrics (e.g., MAPE, RMSE) will be advantageous. Strong communication and documentation skills are necessary to effectively present models and insights to non-technical audiences.,

Job Description JOB DESCRIPTION When you join Honeywell, you become a member of our global team of thinkers, innovators, dreamers, and doers who make the things that make the future. That means changing the way we fly, fueling jets in an eco-friendly way, keeping buildings intelligent and safe and even making it possible to breathe on Mars. Working at Honeywell isn’t just about developing cool things. That’s why all of our employees enjoy access to dynamic career opportunities across different fields and industries. Why Honeywell? Honeywell changes the way the world works. For more than 130 years, we’ve solved the toughest customer challenges through a rare combination of our industrial expertise and our innovations in groundbreaking software and technology, and industry-leading automation. This perfection is built on a foundation of inclusion, diversity and driving a performance culture that values integrity and ethics. Skill Requirements The Mech Design Engineer II for Engine Systems and Components Analyses in Engines and Power Systems will primarily focus on fluid-structure interaction challenges utilizing finite element modeling and analysis. The role involves using tools such as ANSYS, LS DYNA, and NASTRAN to analyze turbofan engines. Responsibilities include building models, running analysis, post-processing results, preparing review presentations, addressing action items and documenting analysis outcomes. Educational Qualifications And Experiences Strong foundational knowledge in Mechanical Engineering concepts keen aptitude for implementing algorithms and automation using software such as MATLAB and scripting languages like BASH. Excellent problem-solving abilities and communication skills are essential. Hands-on experience with meshing software such as Hypermesh, ANSA, or ANSYS is preferred. Experience in fluid-structure interaction and impact analysis using tools like LS-DYNA is advantageous. Familiarity with implicit/explicit finite element theory and contact algorithms is a plus. About Us Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable. About Us Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.

Job Title: Hydro Department: Hydropower / Mechanical Engineering Location: Stationed at Hyderabad. Should be willing to travel across India for work Education: Bachelor's or Master's in Mechanical or Hydraulic Engineering, or a related field. Experience : 4+ years of experience in hydro-mechanical systems design and maintenance. Budgeted CTC: 12 Lacs PA Job Type : Full-Time. Work From Office Job Summary Our client works on hydro-mechanical engineering projects in collaboration with an international heavy engineering equipment manufacturing company from Hyderabad. They specialise in the design, operation, maintenance, and performance optimization of hydro-mechanical systems, including large hydraulic cylinders, drives, pumps, and generators. The ideal candidate will also be adept at handling technical communications and engineering documentation with regulatory and government agencies. Key Responsibilities Handling of Technical Presentations and projects with government departments Coordination and reporting with OEMs/Manufactures and vendors Lead generation and business opportunity identification Reporting and drafting of government documentation Project Coordination with management on Commissioning, installation and maintenance of equipment Competence Hands-on experience with large hydraulic cylinders, hydraulic drives, turbines, and generators. Familiarity with hydraulic equipment operation and system integration. Strong understanding of technical standards and regulatory frameworks Excellent communication skills, especially for interactions with government and regulatory authorities. Preferred Skills Proficiency in CAD software (e.g., AutoCAD, SolidWorks) and simulation tools (e.g., ANSYS, MATLAB). Knowledge of SCADA or other control systems used in hydroelectric plants. Certification in project management or hydraulic system maintenance (optional but beneficial). Ability to draft clear and concise technical documentation and presentations. Skills: auto cad,documentation,hydro mechanical,maintenance,technical equipment,regulatory frameworks,large hydraulic cylinders,lead generation,ansys,tender preparation,communication skills,generators,matlab,scada systems,technical sales consulting,cad software,hydro-mechanical systems design,project coordination,turbines,tender development,project management,hydraulic cylinders,equipment commissioning,hydraulic drives,technical standards,technical documentation,heavy equipment,scada

- 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 The ShipTech BI team is looking for a smart and ambitious individual to support developing the operational reporting structure in Amazon Logistics. The potential candidate will support analysis, improvement and creation of metrics and dashboards on Transportation by Amazon, In addition, they will work with internal customers at all levels of the organization – Operations, Customer service, HR, Technology, Operational Research. The potential candidate will enjoy the challenges and rewards of working in a fast-growing organization. This is a high visibility position. As an Amazon Data Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should have deep expertise in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. You should be expert at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions. Above all you should be passionate about bringing large datasets together to answer business questions and drive change. Key Responsibilities: - Design automated solutions for recurrent reporting (daily/weekly/monthly). - Design automated processes for in-depth analysis databases. - Design automated data control processes. - Collaborate with the software development team to build the designed solutions. - Learn, publish, analyze and improve management information dashboards, operational business metrics decks and key performance indicators. - Improve tools, processes, scale existing solutions, create new solutions as required based on stakeholder needs. - Provide in-depth analysis to management with the support of accounting, finance, transportation and supply chain teams. - Participate in annual budgeting and forecasting efforts. - Perform monthly variance analysis and identify risks & opportunities. 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.

Senior Software Developer (f/m/d) Identifier: INST-SSD-TL Location: Trivandrum For our office in Trivandrum, dSPACE is looking for creative and motivated professionals. You will work on exciting and technologically cutting-edge product development projects, in the areas of control prototyping, code generation and Hardware-In-the-Loop (HIL) simulation. We are currently offering a position as a Senior Software Developer for the development of a product solution that operates within a model-based development environment using MATLAB®, Simulink®, and Stateflow®. As part of the development team, you will be responsible for the development and maintenance of Processor-in-the-Loop (PIL) functionality, which enables the early validation of software components on the processor that will later be used in the ECU. You will also be responsible for developing and maintaining the necessary firmware to integrate new components as part of the PIL functionality. In doing so, you can expect a variety of exciting, challenging, and diverse tasks that you will solve together as a team. Your future colleagues are looking forward to working with you on a wide range of challenging subjects. During the induction period, your colleagues will support you to familiarize you with our products and tasks. Your Tasks • You develop and enhance software components within an experienced development team • You coordinate new functionalities with stakeholders • You analyze microcontroller hardware with the supported compiler to realize the PIL functionality • You develop and maintain flash drivers and application interfaces to support PIL Simulation • You take ownership of features, independently implement new functionalities, and guide the team in solving complex problems Your Qualifications • You have a B.Tech/M.Tech university degree in Computer Science, Electronics and Communication or Electrical and Electronics Engineering, with a minimum of 5 years of relevant experience • You are eager to learn and open-minded • You have strong proficiency in C and C++, along with experience in Makefile script development • You possess deep working knowledge of embedded systems, various microcontroller platforms, and compilers • You have strong experience with MATLAB® and Simulink® You have good experience with testing methodologies for PIL Simulation framework or similar embedded validation environments • You are familiar with Azure® DevOps and Git for version control and CI/CD workflows • You have excellent English communication skills, both written and verbal What We Offer • A crucial role in a young, dynamic, and fast-growing team • A work environment that fosters trust, respect, and feedback • An onboarding buddy to integrate you smoothly into our team • Productivity and improvement time between the development sprints • A mentor helping you with your personal goals, technical progress in general and your software engineering skills in particular About us dSPACE is a market innovator and leader in providing solutions and systems for embedded controller software development in Automotive, Aerospace and Manufacturing industries. Founded in Germany in 1988, dSPACE employs over 2,600 dedicated people worldwide, who are committed to making the embedded controls software development process more efficient through innovative tools and services. Working at dSPACE means taking on challenging and varied tasks in a promising and exciting industry. With us, you have responsibility and can shape your personal career. A collegial and cooperative approach is as natural for us as the continuous development of your expertise. If you are ready to join our highly successful international team and take on the challenge of creating yet another success story in India – send us your application (including motivational letter, CV, copies of your academic degree, references from former employers) at career.tvm@dspace.in indicating your earliest possible entry date.

Role: Vehicle dynamic simulations & force calculations Responsibilities: Preparing MBD model for system level and vehicle level. K&C simulation, Ride and handling simulation, Tire modeling, Analysis of tire related market issues and co-simulation. Results interpretation and report preparation. Improve Virtual Testing for achieving better correlation with the Physical test. Supporting design and testing team for vehicle performance improvements. Experience of actual vehicle testing & understanding of ride & handling parameters with actual vehicle feeling as driver & passenger is preferable. Work closely with validation and testing teams to ensure alignment between virtual simulations and real-world testing activities. Added advantage: ADAS Know-how & Simulations using industry-standard tools and languages (e.g., CARSIM/MATLAB/Simulink, Python etc). Technical/ Functional : Bachelor's/master’s degree in mechanical, Automobile, Mechatronics Engineering. Good Knowledge in area of Vehicle Dynamics, Ride handling, Tire, control systems. Ability to perform virtual validation as per the physical testing conditions. Ability to suggest countermeasure for design improvement and cost/weight reductions. Ability to understand the market/prototype failures and capable to analysis the failures. Candidate should have: Sound Knowledge of ADAMS, CARSIM Basic python, MATLAB, Automation Knowledge in in Model Based Development (MBD) & ADAS area is preferable. Behavioral: Excellent interpersonal skills, Communication & presentation skills, Achievement orientation, Team player, Networking skills

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description: JOB SUMMARY This position leads and advocates various data science teams on best practices around the development and implementation of advance analytic systems and predictive and prescriptive models. This position works with a team of data scientists, data analysts, data engineers, machine learning engineers, business and data domain owners, application developers, and architects in the creation and delivery of insights from large and disparate data to empower confidence in business decisions. This position leads the evaluation and adoption of emerging technologies that support the use of statistical modeling, machine learning, distributed computing, and run time performance tuning with the goal of deploying optimal processes and introducing new products and services to the market. This position supports senior leadership by planning and championing the execution of broad advanced analytics initiatives aimed at delivering value to internal and external stakeholders. This position may manage people within the department. RESPONSIBILITIES Leads and oversees the data analysts, data scientist team, machine learning engineers, and big data specialists in the implementation of models and systems that provide optimal results as well as scale and evolve the solutions to meet future business needs. Acts as subject matter expert on UPS business processes, data, and advanced analytics capabilities to scope problems, data and model requirements, and proven predictive and prescriptive techniques. Maintains broad understanding of implementation, integration, and inter-connectivity issues with emerging technologies to define strategies that support the creation, development and delivery of analytic solutions that meet business needs. Develops and prototypes algorithms to ensure analytic results satisfy problem statements and business needs. Interprets and analyzes large scale datasets to discover insights to support the build of analytic systems and predictive models as well as experiment with new and emerging models and techniques. Identifies and evaluates emerging/cutting edge open source, data science/machine learning libraries, data platforms, and vendor solutions to support the conception, planning, and prioritization of data projects across the enterprise. Provides thought leadership, technical guidance, and counsel for data science project teams to evaluate strategic alternatives, determine impact, recommend courses of action, and design and implement solutions. Champions best practices for adoption of Cloud-AI technologies, opensource software, machine learning libraries/packages, and data science platforms to derive useful information and insights that empower business decisions. Communicates with business customers and senior leadership team with various levels of technical knowledge, educates them about our systems, and shares insights and recommendations that can inform business strategies. Manages analytics projects/teams and serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. QUALIFICATIONS Requirements: Ability to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Multiple years of experience working with large-scale, complex datasets to create machine learning, predictive, forecasting, and/or optimization models. Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment Expertise in data management pipelines involving data extraction, analysis and transformation using either data querying languages (e.g. SQL, NoSQL, BQ), or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS) Hands-on experience in launching moderate to large scale advanced analytics projects in production at scale; adapts available Cloud-AI technologies and machine learning frameworks with or without the use of enterprise data science platforms. Proven ability to convey rigorous technical concepts and considerations to non-experts, and strong analytical skills, attention to detail. Direct experience in developing analytical solutions that empowers business decisions and product creation using various set of techniques (e.g. Supervised, Unsupervised, Deep Learning, NLP) Excellent verbal and written communication skills with the ability to communicate data through a story framework and convey data-driven results to technical and non-technical audiences, and effectively advocate technical solutions to research scientists, engineering teams as well as business audiences. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Employee Type: Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.