Ai Tools Jobs in Chennai

Virtual Analysis Engineer Safety Bio

RLE India Private Limited•

Pune

+1 More

Other Locations1 cities

Chennai

•full time

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 .

Scrum Master

RLE India Private Limited•

Pune

•full time

Job Summary We are seeking a skilled and experienced Scrum Master to join our dynamic team in Pune. This role is crucial for ensuring the successful delivery of high-quality software solutions through the effective application of Agile principles and practices. The ideal candidate will possess a strong understanding of the software development lifecycle and a proven ability to facilitate Scrum events and remove impediments for development teams. Key Responsibilities The Scrum Master will be responsible for guiding and coaching development teams on the use of Scrum , ensuring they adhere to Agile values and principles. This includes facilitating Scrum ceremonies, such as sprint planning, daily Scrum , sprint review, and sprint retrospective. The role also involves identifying and removing impediments that hinder the team's progress, fostering a collaborative and self-organizing environment. Required Skills & Qualifications Understanding of Software Development Lifecycle (SDLC): A comprehensive understanding of the various phases of the software development lifecycle, from inception to deployment and maintenance. Agile Engineering Practices: Demonstrated proficiency in Agile methodologies, particularly Scrum , and the ability to coach teams on their effective implementation. Common Engineering Workflows: Familiarity with standard engineering workflows, including version control, code review, and continuous integration. Web Application Technologies: Knowledge of technologies used in web application development, including Angular . Mobile Application Technologies: Understanding of technologies used in mobile application development. Desktop Application Technologies: Understanding of technologies used in desktop application development, including C# , .NET , and WPF . Ability to Work with Technical Leads: Proven ability to collaborate effectively with technical leads to ensure alignment on technical direction and execution. DevOps Tools & Workflows: Experience with DevOps tools and workflows, including CI/CD . Backlog Tools: Proficiency in using Backlog tools such as Jira and Azure Boards to manage product and sprint backlogs. Communication Skills: Excellent verbal and written communication skills, with the ability to clearly and concisely convey technical information to both technical and non-technical audiences. English: Fluency in English, both written and spoken. Estimation, Dependencies, Risks: Ability to facilitate discussions and guide teams in estimating tasks, identifying dependencies, and assessing risks. Metrics: Understanding of key Scrum metrics, including Velocity , Burndown , and Flow Efficiency . Scrum Artifacts: Deep understanding of Scrum artifacts, including the Product Backlog , Sprint Backlog , and Increment . Technical Execution & Craftsmanship: Appreciation for Technical Craftsmanship principles, Clean Code , and Maintainability . Testing Approach & System Stability: Understanding of testing approaches and their impact on System Stability . System Integration Concepts: Knowledge of API and Cloud concepts and System Integration concepts. Experience Required: The ideal candidate will have 4-6 years of experience in a related role, demonstrating a solid foundation in software development and Agile practices. This level of experience is expected to provide a strong understanding of team dynamics and the ability to effectively facilitate Scrum events and remove impediments. What We Offer Salary:

CAE Analyst

RLE India Private Limited•

Chennai

•Full-time

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

Virtual Analysis Engineer L2 Safety

RLE India Private Limited•

Chennai

•full time

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:

Software Engineer (2) - Commodity Engineer 0

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking two experienced Software Engineers to join our team in Bangalore. This role focuses on the development and maintenance of our Pega platform, with a strong emphasis on Commodity Engineer principles. The ideal candidate will possess a strong foundation in software engineering principles and a passion for building robust and scalable solutions. Key Responsibilities This role requires a high level of proficiency in designing, developing, and implementing solutions within the Pega environment. You will be responsible for the entire software development lifecycle, from requirements gathering to deployment and ongoing support. A key aspect of this role will be leveraging Automation Tools and DevOps Practices to ensure efficient and reliable delivery of high-quality software. Required Skills & Qualifications Education: A Bachelor's Degree is required. Experience: A minimum of 6-8 years of experience in software engineering is expected. This level of experience indicates a proven ability to independently design, develop, and implement complex software solutions, as well as mentor junior team members. Core Technologies: Pega and Pega PRPC Proficiency: Demonstrated expertise in the Pega platform, including Pega Constellation , Ruleset Strategy , Case Architecture , and Integration Architecture . Programming Languages: Strong proficiency in Python , C# , and JavaScript . .NET Development: Experience with .NET Developer , .Net Framework . RESTful Services, JSON, XML, HTTP, API: Ability to design and consume RESTful Services and work with data formats like JSON and XML . Cloud Technologies: Google Cloud Platform: Familiarity with Google Cloud Platform services. Cloud-Native Deployments: Experience with Cloud-Native Deployments , Kubernetes , AKS , and EKS . DevOps & Automation: DevOps Practices: Solid understanding of DevOps Practices , including CI/CD Pipelines and Release Governance . Automation Frameworks: Experience with Automation Frameworks . Pipeline Deployments: Ability to manage Pipeline Deployments and adhere to Merge Governance best practices. Data & Architecture: Data Model: Strong understanding of Data Model concepts. Microservices Architecture: Experience with Microservices Architecture . AI & Machine Learning: AI: Basic understanding of AI principles. GenAI: Exposure to GenAI concepts. Agentic AI: Familiarity with Agentic AI . Domain Knowledge: Banking, Financial Services: Understanding of Banking and Financial Services concepts, including Disputes , Cards , Payments , and Lending . Pega Smart Disputes: Experience with Pega Smart Disputes . Compliance, Regulatory Considerations: Awareness of Compliance and Regulatory Considerations . Other Skills: Analytical Skills: Strong Analytical Skills for problem-solving and data analysis. Problem-Solving Skills: Excellent Problem-Solving Skills to identify and resolve complex technical issues. Communication Skills: Effective Communication Skills to collaborate with cross-functional teams. What We Offer Salary:

LABCAR HIL Test Engineer

SACHA Engineering•

Chennai

•full time

Job Summary We are seeking a highly skilled LABCAR HIL Test Engineer to join our team in the Automotive industry, located in Chennai . The ideal candidate will have a strong background in LABCAR HIL testing system and ECUTEST , with a solid understanding of domain knowledge of automotive systems and HIL test methodologies . Key Responsibilities The successful candidate will be responsible for Software release testing processes , ECU-TEST test package creation , Testing & Analysis , identifying requirement gaps, investigating test failures, and bug triaging . The candidate will also be expected to effectively communicate with customers and internal teams through Written communication , Visual communication , and Verbal communication . Required Skills & Qualifications The ideal candidate will have 4 - 10 years of experience in a similar role, with a strong foundation in: LABCAR HIL testing system ECUTEST Domain knowledge of automotive systems HIL test methodologies Software release testing processes ECU-TEST test package creation Testing & Analysis Aptitude for identifying requirement gaps Investigating test failures Bug triaging Communication Skills Diagnostic tools , including UDS and OBD Requirement management , including JAMA Version control , including GitHub What We Offer We offer a challenging and rewarding role in a dynamic industry, with opportunities for growth and development.

HIL Testing

SACHA Engineering•

Chennai

•full time

Job Summary We are seeking a highly skilled professional for the position of HIL Testing in the IT / Technology industry. The ideal candidate will have a strong background in electrical or electronics engineering and experience in Hardware-in-Loop testing. Key Responsibilities The key responsibilities of this role will include working with Hardware-in-Loop(HIL) Testing , Dspace Tool Chain , Controldesk , and Automation desk to develop and validate tools. The candidate will also be working with CAN communication protocol , CAN Interface tools , CANoe , and CANalyser to ensure effective communication and testing. Additionally, the candidate will be responsible for UI creation , Tool development , and Tool validation using Python and VBA scripting . Required Skills & Qualifications The candidate should have a B.E./B.Tech or M.E./M.Tech/M.S degree in Electrical / Electronics. The required experience for this role is 3 - 6 years. The candidate should have skills in: Hardware-in-Loop(HIL) Testing Dspace Tool Chain Controldesk Automation desk CAN communication protocol CAN Interface tools CANoe CANalyser Python VBA scripting UI creation Tool development Tool validation ADAS Automotive Electronics AI tools Simulink I/O Plant models Electrical schematics Diagnostic testing Communication skills Program documentation skills Analytical skills Problem-solving skills Leadership skills What We Offer We offer a challenging and rewarding work environment with opportunities for growth and development.

CAE Analyst - I

SACHA Engineering•

Chennai

•full time

Job Summary We are seeking an experienced CAE Analyst - I to join our team in Chennai, within the Automotive industry. As a CAE Analyst, you will play a crucial role in utilizing advanced digital tools for lighting verification and simulation. With a strong background in using SPEOS digital tools and other relevant technologies, you will be responsible for analyzing and optimizing designs to meet the required performance and safety standards. The ideal candidate will have a solid understanding of CAE analysis and experience working with various preprocessing tools and 3D CAD software. This role requires a detail-oriented and analytical individual who can effectively collaborate with cross-functional teams to drive project success. Key Responsibilities Utilize SPEOS digital tools for lighting verification and analysis to ensure design compliance with performance and safety standards. Work with Ansys SPEOS to simulate and analyze various lighting scenarios, providing insights for design optimization. Employ NX and preprocessing tools like ANSYS SPACECLAIM and ANSA for efficient data preparation and analysis. Leverage 3D CAD software, including Nx and CATIA, to create and modify complex geometries for CAE analysis. Apply ANSYS tools for comprehensive CAE analysis, ensuring accurate results and design validation. Required Skills & Qualifications The ideal candidate will possess a strong foundation in the following skills and qualifications: Proficiency in SPEOS digital tools for lighting verification, with a deep understanding of their application in CAE analysis. Experience with Ansys SPEOS for simulating and analyzing lighting scenarios. Skilled in using NX and preprocessing tools such as ANSYS SPACECLAIM and ANSA for data preparation. Strong knowledge of 3D CAD software, including Nx and CATIA, for creating and modifying complex geometries. Proficiency in ANSYS tools for comprehensive CAE analysis. A Bachelor's degree in Engineering (B.E.) is required for this role. What We Offer While specific details about our benefits package are not provided, this role offers the opportunity to work with cutting-edge technologies and contribute to the Automotive industry. The position is based in Chennai, and the work mode is onsite, allowing for direct collaboration with team members. (0011)