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Job Summary We are seeking a highly skilled and motivated Virtual Analysis Engineer Safety Bio to join our team. This role will focus on virtual analysis and simulation to support safety and bioengineering initiatives within the automotive industry. The ideal candidate will possess a strong analytical background and experience with industry-standard CAE tools. Key Responsibilities The Virtual Analysis Engineer Safety Bio will be responsible for performing and interpreting virtual analyses, contributing to the development of safety systems, and collaborating with cross-functional teams to ensure the safety and performance of our vehicles. This includes conducting Failure Analysis , utilizing Human Body Model (HBM) Simulations , and contributing to Vehicle Crashworthiness assessments. Required Skills & Qualifications Educational Background: A B.E , B.Tech (Mechanical, Automobile), M.E , or M.Tech degree is required. Analytical Skills: Demonstrated ability to analyze complex data, identify trends, and draw meaningful conclusions. This includes a strong foundation in Classical Mechanics and Applied Mechanics . Problem-Solving Skills: Proven ability to identify, analyze, and solve complex engineering problems related to safety and bioengineering. Communication Skills: Excellent written and verbal communication skills, with the ability to clearly and concisely communicate technical information to both technical and non-technical audiences. Software Proficiency: Demonstrated proficiency in the use of industry-standard CAE software, including PRIMER , ANSA , and LS-DYNA . Scripting and Programming: Experience with Linux Scripting and Python , including the use of Jupyter Notebook for data analysis and visualization. AI Tools: Familiarity with AI Tools and their application to engineering problems. Safety Systems Expertise: A solid understanding of Occupant-Restraint-System Development , including experience with Single-Stage Airbags and Seatbelts with Constant Force Retractors . Experience: A minimum of 6 - 9 years of relevant experience in a similar role is expected. This level of experience indicates a seasoned professional capable of independent work and mentorship. What We Offer Salary: This position is onsite .
CAE Analyst Job Description Job Summary We are seeking a skilled and experienced CAE Analyst to join our team in Chennai. This role is crucial for supporting our Automotive / Mechanical Engineering initiatives, ensuring the quality and durability of our components and systems. Key Responsibilities The CAE Analyst will be responsible for performing a wide range of CAE simulations and analyses to support product development and validation. This includes, but is not limited to, conducting structural analysis , stress analysis , and fatigue life prediction . The role will also involve root cause analysis and failure analysis to identify and resolve potential issues. The analyst will work closely with design and validation teams to ensure that designs meet performance and durability requirements. Required Skills & Qualifications The ideal candidate will possess a strong foundation in Mechanical Engineering and a proven ability to apply CAE principles to solve real-world engineering problems. A B.E / B.Tech / M.E / M.Tech degree is required. Non-linear FE analysis: Proficiency in performing advanced finite element analyses, including non-linear simulations to accurately predict component behavior under complex loading conditions. Abaqus: Demonstrated experience using Abaqus for conducting FE simulations. FE model building: Ability to create accurate and efficient FE models representing complex geometries and boundary conditions. Meshing: Expertise in generating high-quality meshes using industry-standard tools. HyperMesh: Experience utilizing HyperMesh for efficient mesh generation and model preparation. ANSA: Familiarity with ANSA for pre- and post-processing of FE models. Fatigue life prediction: Ability to perform fatigue life prediction using established methodologies and software. FEMFAT: Experience with FEMFAT for fatigue analysis and damage assessment. Structural analysis: A strong understanding of structural analysis principles and their application to automotive components. Stress analysis: Ability to perform detailed stress analysis to identify areas of high stress concentration and potential failure. Material modeling: Knowledge of material modeling techniques and their impact on simulation results. Contact definitions: Ability to accurately define and implement contact definitions in FE models. Reliability assessments: Experience in performing reliability assessments to evaluate the long-term performance of components. Durability assessments: Ability to conduct durability assessments to ensure components can withstand expected usage conditions. Root cause analysis: Proven ability to perform root cause analysis to identify the underlying causes of failures. Failure analysis: Experience in conducting failure analysis to determine the mechanisms of failure. Automotive engineering: A solid understanding of Automotive engineering principles and practices. Quality processes: Familiarity with quality processes and their application to product development. Robust design methodologies: Knowledge of robust design methodologies to create designs that are insensitive to variations in manufacturing and operating conditions. Manufacturing best practices: Understanding of manufacturing best practices and their impact on component performance. Transmission & driveline systems: Familiarity with Transmission & driveline systems and their components. Gears, Shafts, Clutches, Differentials, Propshafts, Half-shafts, Bearings: Knowledge of the design and analysis of these key components. HyperWorks: Experience with HyperWorks for CAE simulation and analysis. Fatigue life/Damage assessment: Ability to perform fatigue life/Damage assessment to predict component lifespan. Boundary conditions: Ability to accurately define and apply appropriate boundary conditions in FE models. Dynamic loading scenarios: Experience in simulating dynamic loading scenarios to evaluate component response to transient loads. Gear strength: Ability to assess gear strength and durability. Shaft durability: Ability to assess shaft durability under various loading conditions. Road load data: Experience in utilizing road load data for simulation. Simulation load cases: Ability to develop and apply appropriate simulation load cases . Physical test data: Ability to correlate simulation results with physical test data . Refine models: Ability to refine models based on simulation results and experimental data. Material properties: Understanding of material properties and their impact on simulation results. Manufacturing processes: Familiarity with manufacturing processes such as Forging, Casting, and Heat treatment . Component durability: Ability to assess component durability under various operating conditions. CAE simulation tools: Proficiency in using various CAE simulation tools . Customer usage profiles: Ability to incorporate customer usage profiles into simulation models. Duty cycles: Ability to define and apply appropriate duty cycles in simulations. Design robustness: Ability to assess and improve design robustness . DFMEA: Familiarity with DFMEA (Design Failure Mode and Effects Analysis). DVP&R: Understanding of DVP&R (Design Verification Plan and Release). Experience Required: The role requires 4 - 9 years of relevant experience in CAE analysis, preferably within the Automotive or Mechanical Engineering industry. Candidates with a strong track record of solving complex engineering problems and delivering high-quality results are highly encouraged to apply. What We Offer Salary: ₹10 LPA - ₹12 LPA
Job Summary We are seeking a skilled and motivated Virtual Analysis Engineer L2 Safety to join our team in Chennai. This role will focus on performing virtual analysis and simulations to ensure the safety and performance of our automotive products. The ideal candidate will possess a strong understanding of CAE analysis techniques and a passion for contributing to a safe and reliable vehicle design. Key Responsibilities This role will involve a range of responsibilities centered around virtual analysis and safety assessments. You will be expected to contribute to the development and validation of safety models and simulations, ensuring adherence to industry standards and performance requirements. Collaboration with cross-functional teams will be essential to integrate analysis results into the overall design process. Required Skills & Qualifications Education: A Bachelor's degree (B.E, B.Tech) or Master's degree (M.E, M.Tech) in Mechanical, or Automobile Engineering is required. Experience: 3-7 years of experience in virtual analysis, specifically within the automotive industry, is expected. This level of experience indicates a proficiency in applying CAE techniques to solve complex engineering problems and a demonstrated ability to work independently and as part of a team. CAE Analysis: Demonstrated expertise in CAE analysis , including finite element analysis (FEA) and crash simulations. Safety FE Models: Proficiency in developing and utilizing Safety FE Models to assess vehicle safety performance. Sled Simulations: Experience with Sled simulations to evaluate crashworthiness and impact resistance. Full Vehicle Occupant Simulations: Ability to conduct Full Vehicle Occupant Simulations to assess occupant safety during crash events. Software Proficiency: Strong working knowledge of ANSA and LS-DYNA for performing finite element analysis and crash simulations. Engineering Fundamentals: Solid foundation in Classical Mechanics , Applied Mechanics , and Strength of Materials . Human Body Model (HBM): Familiarity with Human Body Model (HBM) techniques for simulating occupant response in crash scenarios. Scripting: Ability to utilize Scripting to automate analysis tasks and improve efficiency. AI Tools: Experience with AI tools for data analysis and optimization. Materials Knowledge: Understanding of the behavior of Metals and Composite parts under various loading conditions. Failure Analysis: Ability to perform Failure analysis to identify potential weaknesses in vehicle designs. Cross-Functional Collaboration: Ability to effectively collaborate with Cross-functional performance requirements teams to ensure alignment on safety goals. Design Proposals: Ability to contribute to Design proposals and provide feedback based on analysis results. Communication Skills: Excellent Communication skills , both written and verbal, to effectively communicate technical findings to stakeholders. Presentation Skills: Strong Presentation skills to clearly and concisely present analysis results. Analytical Skills: Exceptional Analytical Skills to interpret data and draw meaningful conclusions. Problem-Solving Skills: Demonstrated Problem-Solving Skills to identify and resolve complex engineering challenges. Teamwork: Ability to work effectively as part of a Teamwork environment. Personal Attributes: A Positive Attitude and a strong Learning aptitude are essential. What We Offer Salary:
Job Summary We are seeking a skilled and experienced B SUV SOW – Vehicle Performance professional to join our team within the Automotive industry. This role focuses on ensuring the durability, reliability, and overall performance of our vehicles, adhering to stringent Stellantis Standards and Regulatory Requirements . Key Responsibilities The primary responsibility of this role is to conduct thorough Vehicle Validation and performance assessments. This includes identifying and addressing potential issues throughout the vehicle lifecycle, from initial design to ongoing Fleet Management . The role requires a proactive approach to Issue Identification and a commitment to achieving optimal vehicle performance. Required Skills & Qualifications Educational Background: A Bachelor of Engineering (B.E.) degree in Mechanical or Automobile Engineering is required. Experience: A minimum of 6 - 8 years of experience in vehicle performance, durability, or reliability engineering is expected. This level of experience should demonstrate a proven ability to manage complex vehicle performance challenges and collaborate effectively within cross-functional teams. Analytical Skills: Demonstrated ability to perform in-depth Data Analysis to identify trends and patterns related to vehicle performance. Problem-Solving Skills: Strong Problem-Solving Skills are essential for effectively addressing vehicle performance issues and developing sustainable solutions. RCA Techniques: Proficiency in applying Root Cause Analysis (RCA) and Failure Mode Analysis (FMA) methodologies to systematically identify the underlying causes of vehicle failures and performance degradation. Durability & Reliability Expertise: A strong understanding of Durability and Reliability principles, including the ability to design and execute Durability Cycles to assess vehicle performance under various operating conditions. Vehicle Systems Knowledge: Comprehensive knowledge of both ICE Vehicle Systems and BEV Vehicle Systems , including their respective performance characteristics and potential failure modes. Degradation Trend Analysis: Ability to perform Degradation Trend Analysis to predict future performance issues and proactively implement preventative measures. Communication Skills: Excellent Communication Skills are required to effectively communicate technical findings and recommendations to both technical and non-technical audiences. Cross-functional Alignment: Ability to foster Cross-functional Alignment across various engineering and product teams to ensure a cohesive approach to vehicle performance and reliability. Regulatory Requirements & Compliance: A thorough understanding of Regulatory Requirements and Compliance standards related to vehicle performance and safety. What We Offer Salary:
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