Lin Bus Jobs in Chennai

Mechatronics-DEVELOPMENT LEAD – FATC CONTROL PANEL, Sensor & SCCM & Auxiliary SWITCHES & Sensors

RLE India Private Limited•

Pune

+1 More

Other Locations1 cities

Chennai

•full time

Job Summary We are seeking a highly skilled and experienced Mechtronics-DEVELOPMENT LEAD to lead the development of FATC control panels, sensor systems, and auxiliary switches for our automotive and technology initiatives. This role requires a strong technical background, excellent leadership abilities, and a commitment to delivering high-quality products. Key Responsibilities The Development Lead will be responsible for overseeing the entire development lifecycle of assigned components, ensuring adherence to quality standards, and fostering collaboration within cross-functional teams. This includes, but is not limited to, leading design and development efforts, troubleshooting complex issues, and ensuring regulatory compliance. Required Skills & Qualifications Educational Background: A B.E. / B. Tech. / M. E / M. Tech degree in E&TC Engineering / Mechanical / Mechatronics / Electrical & Electronics engineering is required. Analytical Skills: Demonstrated ability to analyze complex technical problems and develop effective solutions. This includes a strong foundation in data interpretation and critical thinking. Problem-Solving Skills: Proven ability to identify, analyze, and resolve technical issues efficiently and effectively, utilizing a systematic approach to problem-solving. 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. CAD Design: Proficiency in CAD Design software, including UG NX and CATIA , for creating detailed designs and models. FATC & Climatic Control Unit: Deep understanding of FATC (Functional Automotive Test Control) systems and Climatic Control Units , including their design, operation, and integration. Manual Control Panel & Switch Components: Expertise in the design and development of Manual Control Panels and various Switch Components , including Smart Switches, Toggle Switches, Touch-Sensitive Switches, Capacitive Touch Switches, Rotary/Slide Switches, Momentary Switches, Pressure-Sensitive Switches, and Foot-Pedal Switches . Vehicle EE Architecture & ECU Interaction: Strong knowledge of Vehicle EE Architecture and experience with ECU Interaction , including understanding of communication protocols. Bus Communication: Familiarity with vehicle communication networks, including CAN Bus and LIN Bus , and their application in control systems. Circuit Analysis & Hardware Interface: Solid foundation in Circuit Analysis and experience with Hardware Interface design and implementation. Design Methodologies: Experience with Design For Six Sigma (DFSS) principles and methodologies to ensure robust and reliable product designs. Product Design & CFT Convergence: Proven ability in Product Design and experience facilitating CFT Convergence (Cross-Functional Team) to ensure alignment across departments. Homologation & Regulation Compliance: Knowledge of Homologation processes and Regulation Compliance requirements for automotive products. Product Problem Solving: Ability to lead and participate in Product Problem Solving activities to identify and resolve issues effectively. PLM & Team Centre: Experience with PLM (Product Lifecycle Management) systems, specifically Team Centre , for managing product data and workflows. What We Offer Experience Required: We are seeking candidates with 5 - 10 years of relevant experience in a similar role, demonstrating a proven track record of successful product development and leadership.

Quality Data Analyst – Electrical Hardware Engineering, Warranty Analytics | KPI Automation | Design Assessment | AI Adoption

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled and experienced Quality Data Analyst to join our team. This role will focus on leveraging data analysis and advanced techniques to support our Electrical Hardware Engineering, Warranty Analytics, KPI Automation, Design Assessment, and AI Adoption initiatives within the Automotive / Technology industry. The ideal candidate will possess a strong analytical background and a passion for driving data-driven decisions. Key Responsibilities This role will be responsible for a range of tasks including data analysis, visualization, and reporting to support quality initiatives. The candidate will be expected to identify trends, anomalies, and opportunities for improvement within warranty data, cost trends, and design performance. They will also be involved in the automation of KPI reporting and the implementation of AI -assisted analytics to enhance predictive quality and drive corrective action management . Required Skills & Qualifications Data Analysis: Demonstrated ability to extract, clean, and analyze large datasets to identify meaningful insights and trends. Data Visualization: Proficiency in creating compelling and informative data visualizations using tools such as Power BI and Excel Analytics to communicate complex information effectively. Dashboarding & KPI Reporting: Experience in designing and developing interactive dashboards and automated KPI reports to track key performance indicators and monitor quality metrics. Data Storytelling: Ability to translate data insights into clear and concise narratives that resonate with stakeholders and drive informed decision-making. SQL: Strong proficiency in SQL for data extraction, manipulation, and analysis. Python: Experience using Python for data analysis, scripting, and automation. Databricks: Familiarity with Databricks for data processing and analytics. Power Automate: Experience with Power Automate for workflow automation and data integration. Warranty Data Analytics: Expertise in analyzing warranty data to identify root causes of failures, predict future trends, and optimize product designs. Cost Trend Analysis: Ability to analyze cost trends to identify areas for cost reduction and process improvement. KPI Automation: Experience in automating KPI reporting and data collection processes. Multi-Source Data Integration: Ability to integrate data from multiple sources to create a comprehensive view of quality performance. AI-Assisted Analytics: Experience leveraging AI and Generative AI techniques to enhance data analysis and predictive modeling. Predictive Quality: Ability to apply statistical methods and machine learning algorithms to predict product quality and identify potential issues proactively. Anomaly Detection: Experience in identifying and investigating anomalies in data to uncover potential quality problems. Root Cause Analysis: Expertise in conducting root cause analysis to identify the underlying causes of quality issues. Corrective Action Management: Ability to develop and implement corrective action plans to address quality issues and prevent recurrence. DFMEA, DRBFM, APQP: Familiarity with DFMEA , DRBFM , and APQP methodologies for design and process improvement. Statistical Tools: Proficiency in using various statistical tools for data analysis and quality control. Structured Problem Solving: Ability to apply structured problem-solving techniques to identify and resolve quality issues. Process Optimization: Experience in identifying and implementing process optimization initiatives to improve quality and efficiency. Lean & Six Sigma: Knowledge of Lean and Six Sigma principles for continuous improvement. Quality Tools: Familiarity with various quality tools and techniques for data analysis and problem-solving. Issue Management: Ability to effectively manage and track quality issues to resolution. Warranty Management: Experience in managing warranty claims and analyzing warranty data. Field Quality Analysis: Ability to analyze field quality data to identify trends and patterns. Design Assessment: Ability to conduct design assessments to identify potential quality risks and improve product designs. Design Integrity: Understanding of design integrity principles and their impact on product quality. Design Robustness: Ability to evaluate and improve the design robustness of products. Lessons Learned Deployment: Ability to capture and deploy lessons learned from quality issues to prevent recurrence. Analytical Skills: Strong analytical skills with the ability to interpret data and draw meaningful conclusions. Problem-Solving Skills: Excellent problem-solving skills with the ability to identify and resolve complex quality issues. Data Interpretation Skills: Ability to accurately interpret data and translate it into actionable insights. Communication Skills: Excellent communication skills with the ability to effectively communicate technical information to both technical and non-technical audiences. Stakeholder Management: Ability to build and maintain relationships with key stakeholders . Leadership-Ready Presentation Skills: Ability to deliver compelling and persuasive presentations to senior management. Qualifications: Bachelor’s degree in Electrical Engineering, Electronics Engineering, Automotive Engineering, Data Analytics, Computer Science, or a related engineering discipline. What We Offer Experience Required: 5 - 10 years of relevant experience. 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

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.