TC Jobs in Chennai

Design Convergence Lead(DCL)_Dimensional

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly skilled and experienced Design Convergence Lead (DCL) - Dimensional to join our team in Chennai. This role will focus on ensuring dimensional accuracy and convergence across design and manufacturing processes within the Automotive industry. Key Responsibilities The Design Convergence Lead will be responsible for leading convergence activities, ensuring alignment between design, engineering, and manufacturing teams. This includes facilitating communication, resolving discrepancies, and ensuring adherence to industry standards and best practices. Required Skills & Qualifications Analytical Skills: Demonstrated ability to analyze complex data, identify trends, and draw meaningful conclusions to support design decisions and process improvements. Problem-Solving Skills: Proven ability to identify, analyze, and resolve design and manufacturing related problems effectively and efficiently. Communication Skills: Excellent written and verbal communication skills, with the ability to clearly and concisely convey technical information to diverse audiences. Convergence Skill: Expertise in facilitating and leading design convergence activities, ensuring alignment and consistency across teams. GD&T (Geometric Dimensioning and Tolerancing): Comprehensive understanding and practical application of GD&T principles to define and control part geometry. ASME (American Society of Mechanical Engineers): Familiarity with ASME standards and best practices related to mechanical design and manufacturing. ISO (International Organization for Standardization): Knowledge of ISO standards relevant to quality management and dimensional control. Nx: Proficiency in using Nx for 3D modeling and design. Catia: Experience with Catia for 3D modeling and design. PLM (Product Lifecycle Management): Understanding of PLM systems and their role in managing product data. TC (Teamcenter): Experience with TC for product data management. RSS (Root Sum Square): Knowledge of RSS principles for tolerance stack-up analysis. 3DCS (3D Coordinate Systems): Experience using 3DCS for tolerance analysis and verification. Vis VSA (Visibility Variation Simulation Analysis): Proficiency in using Vis VSA for variation analysis and simulation. Statistical Process Control: Understanding of Statistical Process Control (SPC) techniques for monitoring and controlling manufacturing processes. Measurement Data Analysis: Ability to analyze measurement data to identify trends, root causes, and opportunities for improvement. Qualifications: A Bachelor of Science degree in Mechanical Engineering or a related field is required. Experience Required: A minimum of 6-9 years of experience in a related role, demonstrating a strong understanding of design convergence and dimensional control principles. This level of experience is expected to include leading projects and mentoring junior engineers. What We Offer Salary:

Platform Engineering Engineer 3

SACHA Engineering•

Chennai

•full time

Job Summary We are seeking a highly skilled and motivated Platform Engineering Engineer 3 to join our growing team. This role will be instrumental in building and maintaining our platform, ensuring its reliability, scalability, and security. The ideal candidate will possess a strong understanding of cloud technologies, infrastructure automation, and distributed systems. This is a hybrid role. Key Responsibilities The Platform Engineering Engineer 3 will be responsible for designing, building, and maintaining robust and scalable platform infrastructure. This includes automating infrastructure deployments, monitoring system performance, and troubleshooting issues to ensure high availability and optimal performance. The role requires a proactive approach to identifying and resolving potential problems before they impact users. Required Skills & Qualifications Programming Languages: Proficiency in Java , Python , and Go is essential. Experience with Bash scripting for automation and system administration tasks is also required. Cloud Platforms: Demonstrated experience with cloud platforms including AWS , GCP , and Azure . Containerization & Orchestration: Strong understanding and practical experience with Docker and Kubernetes for containerization and orchestration. Monitoring & Observability: Expertise in using monitoring and observability tools such a Prometheus , Grafana , ELK , OpenSearch , Datadog , OpenTelemetry , Jaeger , and Zipkin . Networking Fundamentals: Solid understanding of networking concepts including DNS , LB , TCP/IP , VPC/subnet design , and Security groups . Security & Compliance: Experience with IAM , Secrets Management using tools like Vault and KMS , and implementing Patching and Vuln Scanning procedures. Platform Reliability & Performance: A focus on Platform Availability and a proven ability to perform Runtime Performance Tuning . Infrastructure Automation: Expertise in Infrastructure as Code ( IaC ) principles and tools. Continuous Integration & Continuous Delivery: Experience with CI/CD pipelines and automation. Cloud Architecture: Ability to design and implement Cloud Architecture solutions. Site Reliability Engineering (SRE): Familiarity with SRE principles and practices. Runtime Optimization: Ability to perform Runtime Optimization for distributed systems. Distributed Systems: Experience with Distributed Backend Systems . AI-augmented Platform Operations: Experience with AI-augmented Platform Operations . Analytical Skills: Strong Analytical Skills for problem-solving and data-driven decision-making. Problem-Solving Skills: Excellent Problem-Solving Skills to quickly identify and resolve issues. Communication Skills: Effective Communication Skills to collaborate with cross-functional teams. Any Degree is required. 6 - None years of experience are required. This indicates a mid-level seniority with expectations of independent work and mentorship of junior team members. What We Offer We offer a competitive compensation package.

DCL Quality

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly motivated and experienced DCL Quality professional to join our team in the Automotive industry. This is an onsite position requiring a blend of technical expertise and strong communication skills. The ideal candidate will possess a strong understanding of design and quality processes within a manufacturing environment. Key Responsibilities This role will be responsible for ensuring the quality and integrity of designs and components throughout the development lifecycle. Specific responsibilities will include analyzing designs, identifying potential issues, and collaborating with engineering teams to implement effective solutions. Required Skills & Qualifications Bachelor’s degree in mechanical engineering or a related field. Advanced degree preferred, demonstrating a commitment to advanced knowledge and expertise in the field. CAD proficiency is essential, with experience in utilizing CAD software for design analysis and validation. TCE experience is required, demonstrating a strong understanding of tolerance stack-up and its impact on product quality. PLM experience is necessary, with a proven ability to manage and track design changes within a PLM system. CN sweeps expertise is needed, with a solid understanding of their application in design and manufacturing. Ability to create Suspension kinematics mechanism designs, demonstrating a strong understanding of mechanical principles. Motion simulation skills are required, with the ability to use simulation tools to analyze and optimize designs. Problem-solving skills are critical, with a demonstrated ability to identify and resolve complex design issues. Communication skills are essential, with the ability to clearly and effectively communicate technical information to both technical and non-technical audiences. Teamwork skills are vital, with a proven ability to collaborate effectively with cross-functional teams. Analytical Skills are required, with the ability to analyze data and draw meaningful conclusions. Strategic thinking skills are needed, with the ability to anticipate future challenges and develop proactive solutions. GD&T knowledge is essential, with a thorough understanding of geometric dimensioning and tolerancing principles. Clash and Clearance analysis experience is required, with the ability to identify and resolve potential interference issues. Packaging expertise is needed, with a strong understanding of how to optimize designs for manufacturability and assembly. Experience Required: 6 - 9 years of experience in a related field. This level of experience indicates a seasoned professional capable of independent work and mentoring junior team members. Expectation is for a high level of proficiency and the ability to lead projects and initiatives. What We Offer Salary: Not provided.

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

DRE – SWITCHES

RLE India Private Limited•

Pune

•full time

Job Summary We are seeking a skilled and detail-oriented DRE – Switches professional to join our team in Pune. This role will focus on the development, validation, and integration of various switch modules for automotive applications. Key Responsibilities This role will be responsible for a wide range of switch-related activities, including but not limited to: Developing and defining switch circuit architectures. Performing voltage and current analysis to ensure optimal switch performance. Coordinating PCB interface and connector selection. Implementing ESD protection measures. Developing switch illumination strategies, including LED illumination and dimming. Coordinating with EMC/EMI teams to ensure compliance. Defining harness interfaces and coordinating with electrical engineering teams. Developing switch matrixes and integrating capacitive sensing capabilities. Performing short circuit and overload protection analysis. Integrating switches with electronic control units ( ECUs ). Defining diagnostic strategies for switch functionality. Integrating LIN slave modules. Managing switch illumination dimming strategies and power mode management. Ensuring technical feasibility and design robustness of switch solutions. Overseeing vehicle-level switch integration. Required Skills & Qualifications Bachelor's degree ( B.E. / B. Tech. / M. E / M. Tech ) in Electronics and Telecommunication, Mechanical, or Electronics & Electrical Engineering. Proficiency in Driver Switches , Passenger Switches , and Non-Ergonomic Switches . Strong understanding of EE Architecture and the ability to create and interpret Circuit Diagrams . Experience with CATIA and CAD Packaging for switch design and modeling. Familiarity with Engineering Change management processes. Knowledge of Homologation and Regulation Compliance requirements. Experience with Product Release cycles and Supplier Management . Ability to contribute to Weight Reduction and Cost Reduction initiatives. Experience with Validation processes and APQP methodologies. Familiarity with PLM systems. Knowledge of various switch types including HVAC/FATC control switches , Rotary Knobs , Capacitive Touch Panels , Push Buttons , and Haptic Feedback Mechanisms . Experience with Illumination Guides , Symbols , Decorative Bezels , and Trims . Familiarity with Steering Wheel Switches , Audio Control Switches , Cruise Control Switches , and ADAS Switches . Experience with Paddle Switches , Backlit Switch Modules , and Steering Wheel Mounted Controls . Understanding of Airbag Package Interface Coordination . Experience with Window Switches , Seat Switches , Sunroof Switches , and Hazard Switches . Familiarity with Console Switches , Roof Control Switches , and Ambient Control Switches . Ability to define Switch Circuit Architecture . Experience with LED Illumination Development . Ability to coordinate PCB Interface Coordination . Knowledge of Connector Selection and Terminal Selection . Experience with ESD Protection Implementation . Ability to perform Backlighting Development . Ability to coordinate EMC/EMI Requirement Coordination . Ability to define Harness Interface Definition . Ability to coordinate CAN/LIN Communication Coordination . Ability to develop Switch Matrix Development . Ability to integrate Capacitive Sensing Integration . Ability to perform Short Circuit Analysis and Overload Protection Analysis . Experience with Electronics Integration . Ability to work with ECU Teams . Ability to integrate HMI Signal Integration . Ability to define Diagnostic Strategy Definition . Ability to integrate LIN Slave Module Integration . Ability to define Switch Illumination Dimming Strategy . Ability to manage Power Mode Management , Wake-Up Strategy , and Sleep Mode Strategy . Ability to coordinate PCB Packaging Coordination . Ability to perform Vehicle Level Switch Integration . What We Offer

Software Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking two experienced Software Engineers to join our team in Bangalore. This role offers an opportunity to contribute to innovative projects within the IT / Technology industry. Key Responsibilities The specifics of key responsibilities were not provided. This section will be populated with responsibilities as they become available. Required Skills & Qualifications The ideal candidate will possess a strong foundation in software engineering principles and a proven ability to apply them to complex challenges. The following skills and qualifications are essential: SaaS : Demonstrated experience with Software as a Service (SaaS) platforms and architectures. MDM : Familiarity with Mobile Device Management (MDM) principles and technologies. Java : Proficiency in Java programming language, including object-oriented design and implementation. Informatica : Experience with Informatica for data integration and transformation. CDI : Understanding of Customer Data Integration ( CDI ) concepts and methodologies. CAI : Knowledge of Customer Analytics and Intelligence ( CAI ) tools and techniques. CDQ : Experience with CDQ for data quality management and improvement. CLAIRE : Familiarity with CLAIRE , a data science platform. API : Strong understanding of API design and development principles. REST : Proficiency in building and consuming REST ful APIs. Business Entity Modeling : Ability to create and maintain accurate Business Entity Models . Cost-Optimized Design : Experience in designing solutions with a focus on cost optimization. AI-Powered Match & Merge : Knowledge of AI -powered data matching and merging techniques. Ingestion : Experience with data ingestion processes and technologies. Integration : Proven ability to integrate disparate systems and data sources. Data Quality : Strong understanding of Data Quality principles and best practices. Legacy Mapping : Ability to map and understand Legacy systems and data structures. Workflow : Experience in designing and implementing Workflow solutions. Governance : Understanding of data Governance principles and practices. API Management : Experience with API Management platforms and tools. Encryption : Knowledge of data Encryption techniques and best practices. Anonymization : Experience with data Anonymization techniques. Analytical Skills : Strong analytical and problem-solving skills. Problem-Solving Skills : Demonstrated ability to identify and resolve complex technical issues. Communication Skills : Excellent written and verbal Communication Skills . Qualifications: A Bachelor's Degree is required. Experience Required: 10 - 10 years of relevant experience are expected, indicating a senior level of expertise and a proven track record in software engineering. What We Offer Salary: The salary details were not provided.

Software Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled and motivated Software Engineer to join our dynamic team. This role will be based onsite and offers an exciting opportunity to contribute to innovative projects within the IT / Technology industry. Key Responsibilities The Software Engineer will be responsible for designing, developing, and implementing software solutions. This includes working with various technologies and methodologies to ensure high-quality, scalable, and secure applications. Required Skills & Qualifications Education: A Bachelor's Degree is required. Experience: 1 - 5 years of experience in software development is expected. This level of experience suggests a blend of foundational knowledge and practical application, with the ability to work independently and contribute to team goals. Pega: Demonstrated proficiency in Pega , including Pega PRPC Proficiency and Pega RPA Service . This encompasses a strong understanding of the Pega platform and its capabilities. Programming Languages: Expertise in programming languages such as Python , JavaScript , and C# . .NET Development: Experience as a .NET Developer , including working with .Net Framework and developing Customized .Net Components . RPA: Familiarity with RPA (Robotic Process Automation) principles and tools. GenAI: Understanding of GenAI (Generative Artificial Intelligence) concepts and applications. Cloud Computing: Experience with Google Cloud Platform . AIPGEE: Knowledge of AIPGEE . Software Development Methodologies: Proficiency in Test-driven development , Continuous integration , and Continuous delivery . Security Practices: Strong understanding of Encryption , Anonymization , and general Security best practices. Pega Specific Skills: Competency in Adaptors , Interrogation , Match Rules , Package Server , and the Synchronization Engine . Other Technologies: Experience with OCR (Optical Character Recognition) and Building Automation . Software Engineering Fundamentals: Solid foundation in Functions , Authentication , and Exception Handling . Deployment: Understanding of the Deployment Process .

CAD Process Automation Engineer

SACHA Engineering•

Chennai

•full time

Job Summary We are seeking a skilled and motivated CAD Process Automation Engineer to join our team within the Automotive industry. This is an onsite position requiring a blend of technical expertise and a proactive approach to process improvement. The ideal candidate will possess a strong foundation in CAD Automation and a passion for leveraging scripting and programming to enhance engineering workflows. Key Responsibilities The CAD Process Automation Engineer will be responsible for identifying, developing, and implementing automation solutions to streamline our CAD processes. This includes analyzing existing workflows, identifying areas for improvement, and creating automated scripts and tools to increase efficiency and reduce errors. The role requires a collaborative approach, working closely with engineers and other stakeholders to understand their needs and deliver effective solutions. Required Skills & Qualifications Education: A Bachelor of Engineering / Bachelor of Technology degree is required. Experience: 2 - 5 years of experience in a related field is expected, demonstrating a solid understanding of engineering principles and automation techniques. This level of experience indicates the ability to work independently and contribute meaningfully to complex projects. CAD Automation: Demonstrated proficiency in CAD Automation principles and practices, with a focus on improving design and engineering workflows. 3Dxperience: Experience with 3Dxperience software and its application in engineering processes. VBA: Strong skills in VBA (Visual Basic for Applications) for automating tasks within CAD and other applications. Python Scripting: Ability to utilize Python scripting to develop custom automation tools and solutions. Gsd: Familiarity with Gsd (Geometric Shape Data) and its role in data management and exchange. PLM: Understanding of PLM (Product Lifecycle Management) systems and their integration with CAD processes. Tcl/Tk: Knowledge of Tcl/Tk scripting language for creating user interfaces and automating tasks.

CAE Modeler - Senior

SACHA Engineering•

Chennai

•full time

Job Summary We are seeking an experienced CAE Modeler - Senior to join our team in Chennai. As a senior CAE modeler, you will play a critical role in the development and analysis of computational models for various automotive applications. This is an excellent opportunity for a skilled professional to utilize their expertise in CAE modeling and simulation to drive innovation and excellence in our products. The ideal candidate will have a strong background in mechanical engineering, automotive engineering, or a related field, with extensive experience in CAE modeling using tools such as Hypermesh, Simlab, Optistruct, and Nastran. You will work closely with cross-functional teams to create detailed models, perform simulations, and analyze results to inform design decisions. Your expertise in programming languages such as Python and experience with TC/TK will also be valuable assets in this role. Key Responsibilities Develop and analyze computational models for various automotive applications using CAE tools such as Hypermesh, Simlab, Optistruct, and Nastran. Create detailed models and perform simulations to analyze and optimize vehicle performance, safety, and durability. Collaborate with cross-functional teams to integrate CAE models with other engineering disciplines and ensure accurate representation of vehicle systems. Utilize programming languages such as Python to automate tasks, create scripts, and enhance modeling efficiency. Work with TC/TK to ensure seamless integration of CAE models with other engineering tools and platforms. Required Skills & Qualifications Bachelor's or Master's degree in Mechanical Engineering, Automotive Engineering, Aerospace Engineering, or a related field. 4-8 years of experience in CAE modeling and simulation, preferably in the automotive industry. Proficiency in CAE tools such as Hypermesh, Simlab, Optistruct, and Nastran. Programming skills in Python. Experience with TC/TK. What We Offer We offer a collaborative and dynamic work environment in our Chennai office. As an onsite role, you will have the opportunity to work closely with our team and contribute to the growth and success of our organization. job Id : CJ2025-412001 (0017)

DCL_Design Integrity

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly motivated and experienced DCL_Design Integrity professional to join our team. This role is critical to ensuring the integrity and quality of our designs within the automotive industry. The ideal candidate will possess a strong analytical background and a proven ability to solve complex problems related to design and engineering. Key Responsibilities The DCL_Design Integrity role will be responsible for maintaining and improving the design integrity of our products. This includes identifying potential design flaws, implementing preventative measures, and ensuring adherence to established design standards and best practices. Required Skills & Qualifications Analytical Skills: Demonstrated ability to analyze complex data, identify trends, and draw logical conclusions to support design decisions. Problem-Solving Skills: Proven ability to identify, analyze, and resolve design-related problems effectively and efficiently. Communication Skills: Excellent written and verbal communication skills to clearly and concisely convey technical information to both technical and non-technical audiences. Strategic Thinking: Ability to think strategically and anticipate potential design challenges, proactively developing solutions to mitigate risks. TCE: Proficiency in TCE methodologies and their application to design integrity. PLM: Experience with PLM (Product Lifecycle Management) systems and their role in managing design data and workflows. Automotive Systems: A strong understanding of Automotive Systems and their interdependencies. Subsystem Packaging: Expertise in Subsystem Packaging principles and best practices. Education: A Bachelor’s degree in mechanical engineering or a related field is required. An advanced degree is preferred. Experience: A minimum of 8-10 years of relevant experience in design integrity or a related field is required. This level of experience indicates a seasoned professional capable of independently managing complex design challenges and mentoring junior team members. What We Offer Salary: