Hardware Integration Jobs

Embedded Firmware Developer

RLE India Private Limited•

Pune

•Full-time

Job Summary We are seeking two skilled Embedded Firmware Developers to join our growing team in Pune. This role offers an exciting opportunity to contribute to the development of cutting-edge embedded systems within the Technology industry. Key Responsibilities The Embedded Firmware Developer will be responsible for designing, developing, testing, and debugging firmware for embedded systems. This includes working closely with hardware engineers to integrate firmware with hardware components and ensuring the overall system functionality and performance. Required Skills & Qualifications Embedded C : Demonstrated proficiency in developing firmware using the Embedded C programming language. Micro-controller peripherals : Comprehensive understanding of micro-controller peripherals and their configuration. ADC : Experience with Analog-to-Digital Converter (ADC) integration and calibration. ePWM : Knowledge of Enhanced Pulse Width Modulation (ePWM) techniques for motor control and other applications. Timers : Ability to effectively utilize timers for timing and scheduling tasks. Interrupts : Expertise in handling interrupts efficiently and effectively. DMA : Experience with Direct Memory Access (DMA) for high-speed data transfer. CAN, CAN-FD : Strong understanding of Controller Area Network (CAN) and CAN Flexible Data-Rate (CAN-FD) communication protocols. SPI, I2C, UART : Proficiency in Serial Peripheral Interface (SPI), Inter-Integrated Circuit (I2C), and Universal Asynchronous Receiver/Transmitter (UART) communication protocols. Real-time firmware architecture : Ability to design and implement real-time firmware architectures that meet stringent performance requirements. Bootloaders : Experience in developing and integrating bootloaders for embedded systems. Memory management : Understanding of memory management techniques for embedded systems, including memory allocation and deallocation. Debugging : Strong debugging skills using various tools and techniques. Hardware integration : Ability to integrate firmware with hardware components and troubleshoot hardware/software issues. Dual-core + IPC architecture : Experience with dual-core processor architectures and Inter-Process Communication (IPC) mechanisms. Communication protocols : Broad knowledge of various communication protocols. Modbus : Familiarity with Modbus communication protocol. Embedded cybersecurity : Understanding of embedded cybersecurity principles and best practices. Secure Boot : Experience implementing secure boot mechanisms. Authenticated firmware updates : Ability to design and implement authenticated firmware update mechanisms. Cryptography : Knowledge of cryptographic algorithms and their application in embedded systems. Key management : Experience with secure key management practices. Debug protection : Ability to implement debug protection mechanisms. Threat/risk analysis : Ability to perform threat and risk analysis for embedded systems. Analytical Skills : Strong analytical skills to identify and resolve complex issues. Problem-Solving Skills : Excellent problem-solving skills to address challenges effectively. Communication Skills : Effective communication skills to collaborate with team members and stakeholders. Experience Required: 5 - 7 years of experience in embedded firmware development. This level of experience indicates a seasoned professional capable of independently designing and implementing complex firmware solutions, as well as mentoring junior team members. What We Offer Salary:

Embedded Firmware Developers

RLE India Private Limited•

Pune

•full time

Job Summary We are seeking a skilled and motivated Embedded Firmware Developer to join our growing team in Pune. This role offers an exciting opportunity to contribute to the development of cutting-edge embedded systems, focusing on real-time control and communication within the IT / Technology industry. Key Responsibilities The Embedded Firmware Developer will be responsible for designing, developing, testing, and debugging firmware for embedded systems. This includes working closely with hardware engineers to integrate firmware with hardware components and ensuring the overall system functionality and performance. Required Skills & Qualifications The ideal candidate will possess a strong foundation in embedded systems development and a proven ability to deliver high-quality firmware solutions. Specific skills and qualifications include: Embedded C: Demonstrated proficiency in developing firmware using the Embedded C programming language. Micro-controller Peripherals: Comprehensive understanding and practical experience with various micro-controller peripherals, including ADC , ePWM , timers , and interrupts . Memory Management: Expertise in efficient memory management techniques for embedded systems, optimizing memory usage and ensuring system stability. Real-time Firmware Architecture: Ability to design and implement robust real-time firmware architecture , considering timing constraints and system responsiveness. Communication Protocols: Strong knowledge of various communication protocols, including CAN/CAN-FD , SPI , I2C , and UART . Debugging: Proven ability to effectively debug firmware using various debugging tools and techniques. Hardware Integration: Experience in hardware integration , working closely with hardware engineers to ensure seamless firmware-hardware interaction. Single-core and Dual-core Devices: Experience developing firmware for both single-core and dual-core devices. IPC Architecture: Understanding of IPC architecture and its application in embedded systems. Embedded Cybersecurity: Knowledge of embedded cybersecurity principles and practices, including secure boot and authenticated firmware updates . Cryptography & Key Management: Familiarity with cryptography techniques and key management best practices. Debug Protection: Experience implementing debug protection mechanisms to safeguard firmware from unauthorized access. Threat/Risk Analysis: Ability to perform threat/risk analysis to identify and mitigate potential security vulnerabilities. Real-time Control & Power Electronics Firmware: Experience in real-time control systems and power electronics firmware development. Modbus: Familiarity with Modbus communication protocol. Experience Required: 5 - 7 years of experience in embedded firmware development. This level of experience indicates a seasoned professional capable of independently designing, developing, and debugging complex embedded systems with minimal supervision. The candidate should be able to mentor junior engineers and contribute to the overall technical direction of the team. What We Offer Salary:

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:

Quality Data Analyst – Electrical Hardware EngineeringWarranty 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 Electrical Hardware Engineering team. This role will focus on Warranty Analytics, KPI Automation, Design Assessment, and the adoption of AI within our quality processes. The ideal candidate will possess a strong analytical background and a passion for leveraging data to drive improvements in product quality and operational efficiency. This is an onsite position. Key Responsibilities The Quality Data Analyst will be responsible for a range of tasks including: Performing Data Analysis to identify trends and patterns in warranty data, product performance, and manufacturing processes. Developing and maintaining KPI Reporting dashboards to track key quality metrics and provide actionable insights to stakeholders. Automating KPI generation and reporting processes to improve efficiency and accuracy. Conducting Root-Cause Analysis of quality issues and collaborating with engineering teams to implement effective Corrective Action Management plans. Utilizing Data Mining techniques to uncover hidden patterns and insights within large datasets. Applying Statistical Analysis methods to evaluate product performance and identify areas for improvement. Leveraging AI-Assisted Analytics and Generative AI to enhance data analysis capabilities and identify potential quality risks. Implementing Process Optimization strategies to streamline quality control processes and improve overall efficiency. Required Skills & Qualifications To be successful in this role, candidates must possess the following skills and qualifications: A Bachelor’s degree in Electrical Engineering, Electronics Engineering, Automotive Engineering, Data Analytics, Computer Science, or a related engineering discipline. 5-10 years of experience in a data analysis role, preferably within the automotive or technology industry. This level of experience indicates a proven ability to independently manage complex data analysis projects and deliver impactful insights. Data Analysis : A strong foundation in data analysis techniques, including data cleaning, transformation, and exploration. Data Visualization : Proficiency in creating compelling and informative data visualizations to communicate insights effectively. Dashboarding : Experience in designing and developing interactive dashboards using tools such as Power BI . KPI Reporting : Ability to define, track, and report on key performance indicators ( KPIs ) to measure quality performance. Data Storytelling : Skill in translating complex data into clear and concise narratives that resonate with stakeholders. Quality Tools : Familiarity with various quality tools and methodologies, such as Lean and Six Sigma . Issue Management : Experience in identifying, tracking, and resolving quality issues in a timely and effective manner. Root-Cause Analysis : Ability to conduct thorough root-cause analyses to identify the underlying causes of quality problems. Corrective Action Management : Experience in developing and implementing corrective action plans to prevent recurrence of quality issues. Process Optimization : Ability to identify and implement process improvements to enhance quality control processes. Power BI : Proficiency in using Power BI to create interactive dashboards and reports. Excel Analytics : Advanced skills in Excel for data analysis and reporting. SQL : Strong proficiency in SQL for querying and manipulating data. Python : Experience using Python for data analysis and automation. Databricks : Familiarity with Databricks for big data processing and analysis. Power Automate : Experience using Power Automate for automating data-related tasks. Warranty Data Analytics : Experience analyzing warranty data to identify trends and patterns. Cost Trend Analysis : Ability to analyze cost trends to identify opportunities for cost savings. KPI Automation : Experience automating KPI generation and reporting processes. Multi-Source Data Integration : Ability to integrate data from multiple sources into a unified view. AI-Assisted Analytics : Experience leveraging AI to enhance data analysis capabilities. Predictive Quality : Ability to use data to predict potential quality issues. Anomaly Detection : Skill in identifying unusual patterns or outliers in data. Generative AI : Familiarity with Generative AI techniques for data analysis and insights. Process Automation : Experience automating manual processes to improve efficiency. Data Mining : Ability to extract valuable insights from large datasets. Statistical Analysis : Proficiency in applying statistical methods to analyze data. Quality Metrics : Understanding of key quality metrics and their application. Data Definitions : Ability to define clear and consistent data definitions. What We Offer We offer a competitive salary of .

Quality Data Analyst – Electrical Hardware Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled and experienced Quality Data Analyst to join our Electrical Hardware Engineering, Warranty Analytics & Quality Automation team. This role will be instrumental in leveraging data to drive quality improvements, identify trends, and ensure the reliability of our products. The ideal candidate will possess a strong analytical background, a passion for data-driven decision-making, and a commitment to continuous improvement within the automotive and technology industries. Key Responsibilities The Quality Data Analyst will be responsible for a range of tasks related to data analysis, reporting, and process improvement. This includes conducting in-depth analysis of warranty data, identifying cost trends, and developing automated reporting solutions. The role will also involve collaborating with cross-functional teams to implement corrective actions and preventative measures to enhance product quality and reliability. Required Skills & Qualifications To be successful in this role, candidates must possess a combination of technical skills, analytical abilities, and a strong understanding of quality methodologies. Specific requirements include: Analytical Skills: Demonstrated ability to analyze complex data sets, identify patterns, and draw meaningful conclusions. Problem-Solving Skills: Proven ability to approach complex problems systematically, identify root causes, and develop effective solutions. Data Analysis: Proficiency in data analysis techniques, including statistical analysis and data mining. Data Visualization: Ability to create clear and compelling data visualizations to communicate insights effectively. Dashboarding: Experience in designing and developing interactive dashboards to monitor key performance indicators (KPIs). KPI Reporting: Ability to generate regular reports on KPIs and present findings to stakeholders. Data Storytelling: Ability to translate data into a narrative that is easy to understand and actionable. SQL: Strong proficiency in SQL for data extraction, manipulation, and analysis. Python: Experience using Python for data analysis and automation. Databricks: Familiarity with Databricks for large-scale data processing and analytics. Power Automate: Experience with Power Automate for automating data-related tasks and workflows. Warranty Data Analytics: Expertise in analyzing warranty data to identify trends and opportunities for improvement. Cost Trend Analysis: Ability to analyze cost data to identify trends and potential cost savings. KPI Automation: Experience in automating the generation and distribution of KPIs. Multi-Source Data Integration: Ability to integrate data from multiple sources into a unified view. AI-Assisted Analytics: Experience leveraging AI to enhance data analysis and predictive modeling. Predictive Quality: Knowledge of predictive quality techniques to anticipate and prevent quality issues. Anomaly Detection: Ability to identify unusual patterns or outliers in data that may indicate quality problems. Generative AI: Familiarity with Generative AI techniques for data analysis and problem-solving. Issue Management: Experience in tracking and resolving quality issues. Root-Cause Analysis: Proficiency in conducting root-cause analysis to identify the underlying causes of quality problems. Corrective Action Management: Ability to develop and implement effective corrective actions to prevent recurrence of quality issues. DFMEA: Understanding of DFMEA (Design Failure Mode and Effects Analysis) principles. DRBFM: Understanding of DRBFM (Design Review Based on Failure Mode) principles. APQP: Understanding of APQP (Advanced Product Quality Planning) principles. Statistical Tools: Proficiency in using various statistical tools for data analysis and quality improvement. Structured Problem Solving: Ability to apply structured problem-solving methodologies to address quality challenges. Power BI: Proficiency in Power BI for data visualization and reporting. Excel Analytics: Strong Excel skills for data analysis and reporting. Process Optimization: Ability to identify and implement process improvements to enhance quality and efficiency. Six Sigma: Knowledge of Six Sigma methodologies for process improvement. Quality Tools: Familiarity with various quality tools and techniques. Lean: Understanding of Lean principles for waste reduction and process improvement. Education: A Bachelor’s degree in Electrical Engineering, Electronics Engineering, Automotive Engineering, Data Analytics, Computer Science, or a related engineering discipline is required. Experience: The ideal candidate will have 5-10 years of experience in a related field, demonstrating a strong track record of success in data analysis and quality improvement. This level of experience is expected to provide a solid foundation for independent work and leadership within a team. What We Offer Salary:

Dyno Test Engineer

RLE India Private Limited•

Pune

•full time

Job Summary We are seeking a skilled and motivated Dyno Test Engineer to join our team. This role will be responsible for conducting performance and durability testing on electric motors and motor controllers using dynamometer systems. The ideal candidate will possess a strong understanding of electrical principles, motor testing methodologies, and a commitment to ensuring the quality and reliability of our products. This is an onsite position. Key Responsibilities The Dyno Test Engineer will be responsible for the following: Operating and maintaining dynamometer systems, ensuring accurate and reliable test data. Setting up and configuring test procedures to evaluate the performance and durability of AC/DC motors , BLDC motors, PMSM motors, and Induction Motors . Executing load profiles and analyzing test results to identify potential issues and areas for improvement. Utilizing test automation systems to streamline testing processes and improve efficiency. Troubleshooting and resolving test stand issues, including hardware integration problems and wiring verification . Performing root cause analysis using methodologies such as 8D , Fishbone , and 5Why to address identified issues. Conducting electrical fault finding and sensor diagnosis to ensure accurate test results. Performing necessary repairs and maintenance on test equipment, including PCBA rework , component replacement , soldering , and desoldering . Preparing test setup and ensuring proper wire harness assembly and cable assembly . Required Skills & Qualifications To be considered for this position, candidates must possess the following: A Diploma in Electrical , Electronics , Mechatronics , Mechanical , or a related engineering discipline. 5-8 years of experience in a testing or engineering role, with a focus on motor testing and dynamometer operation. This level of experience indicates a proficiency in independently designing and executing test plans, analyzing data, and troubleshooting complex issues. Proficiency in Dynamometer operation and setup , including the ability to configure and calibrate systems for various testing scenarios. Strong understanding of Motor and inverter testing methodologies, including performance characterization and durability assessment. Experience with Performance and durability testing techniques, including the ability to design and execute tests to evaluate product lifespan and reliability. Familiarity with Test automation systems and the ability to develop and implement automated test procedures. Solid foundation in Power electronics fundamentals , including an understanding of AC/DC motors , BLDC , PMSM , and Induction Motors . Knowledge of Motor controllers and Inverters , including their operation and testing. Commitment to High-voltage safety practices and adherence to safety protocols. Proficiency in performing Electrical measurements and utilizing Instrumentation , including Torque transducers , Speed encoders , Thermocouples , RTDs , Current probes , and Voltage measurement systems . Experience using Oscilloscopes and Power analyzers for data acquisition and analysis. What We Offer The salary for this position is .

Dyno Test Engineer

RLE India Private Limited•

Pune

•full time

Job Summary We are seeking a Dyno Test Engineer to join our team in Magarpatta, Pune. This role will be responsible for operating and maintaining dyno and test systems, conducting performance and durability testing, and ensuring the quality and reliability of our products. This is an excellent opportunity for a motivated individual to contribute to a dynamic and growing organization within the Aerospace industry. Key Responsibilities The Dyno Test Engineer will be responsible for a range of tasks related to dyno testing and system maintenance. This includes, but is not limited to, the operation and setup of dynamometers, execution of load profiles, and the performance of various tests to evaluate motor and inverter performance and durability. The role also involves troubleshooting test stand issues, performing root cause analysis, and ensuring adherence to quality management systems and safety protocols. Required Skills & Qualifications Education: A Diploma in Electrical, Electronics, Mechatronics, Mechanical, or a related engineering discipline is required. Dyno & Test Systems: Demonstrated proficiency in the operation and setup of dyno and test systems, including dynamometer operation. Motor and Inverter Testing: Experience with motor and inverter testing methodologies, including performance and durability testing. Load Profile Execution: Ability to execute load profiles accurately and efficiently. Test Automation Systems: Familiarity with test automation systems and their application in testing environments. Data Acquisition Systems (DAQ): Strong understanding of data acquisition systems and their role in data collection and analysis. Electrical Knowledge: A solid foundation in electrical principles, including knowledge of AC/DC motors, BLDC, PMSM, and Induction Motors. Motor Controllers & Inverters: Understanding of motor controllers and inverters, and their role in motor operation. Power Electronics Fundamentals: A working knowledge of power electronics fundamentals. Safety Practices: Strict adherence to high-voltage safety practices and electrical safety protocols. Electrical Measurements & Instrumentation: Proficiency in performing electrical measurements and utilizing various instrumentation techniques. This includes experience with Torque transducers, Speed encoders, Thermocouples, RTDs, Current probes, and Voltage measurement systems. Troubleshooting Skills: Excellent troubleshooting skills, including electrical fault finding and sensor diagnosis. Test Stand Debugging: Ability to effectively debug test stand issues and perform wiring verification. Hardware Integration: Experience in identifying and resolving hardware integration issues. Root Cause Analysis: Ability to perform root cause analysis using methodologies such as 8D, Fishbone, and 5Why. Other Skills: Including Harness preparation, Crimping, Wiring, Connector assembly, Soldering, Desoldering activities, PCBA rework, Repair, SMT, Through-hole components, Component replacement, Soldering/de-soldering techniques, Wire harness preparation, Cable assembly, Test setup preparation, Laboratory equipment configuration. Analytical Skills: Strong analytical skills for data interpretation and problem-solving. Technical Documentation & Report Writing: Ability to create clear and concise technical documentation and reports. ESD Controls & Lab Compliance: Knowledge of ESD controls and lab compliance practices. Data Acquisition Systems: Experience with data acquisition systems, including LabVIEW and NI DAQ systems . CAN Communication: Familiarity with CANanalyzer and CANoe for CAN communication analysis. Data Analysis: Proficiency in Excel data analysis and data logging techniques. Software: Basic software skills for instrumentation interfaces and hands-on experience. Quality Management System: Understanding of quality management system principles. Experience: This position requires no prior experience. We welcome candidates who are eager to learn and develop their skills in a dynamic environment. What We Offer Salary:

SSTL-Closure Design

RLE India Private Limited•

Pune

•full time

Job Summary We are seeking a skilled and experienced professional to join our team as an SSTL-Closure Design engineer. This role will be responsible for the design and development of closure systems for automotive applications. The ideal candidate will possess a strong understanding of mechanical engineering principles, proficiency in CAD design software, and a proven ability to solve complex technical challenges. This is an onsite position. Key Responsibilities The SSTL-Closure Design engineer will be responsible for the following: Developing concept designs for closure components, including hoods , fenders , liftgates , tailgates , side doors , and manual tops . Performing feasibility studies to evaluate the technical and economic viability of proposed designs. Creating detailed CAD models and drawings using UG NX and CATIA . Conducting technical reviews to ensure design quality and adherence to specifications. Supporting vehicle integration activities to ensure proper fit and function of closure systems. Addressing closure product problem solving . Ensuring compliance with homologation and regulation compliance requirements. Working with press , stamping , and Hemming processes. Managing CFT Convergence . Required Skills & Qualifications To be considered for this position, candidates must possess the following skills and qualifications: Analytical Skills: Demonstrated ability to analyze complex problems and develop effective solutions. Problem-Solving Skills: Proven ability to identify, analyze, and resolve technical issues related to closure systems. Communication Skills: Excellent written and verbal communication skills, with the ability to effectively communicate technical information to both technical and non-technical audiences. CAD Design: Proficiency in CAD design software, including UG NX and CATIA . Team Centre: Experience with Team Centre for data management. PLM: Familiarity with PLM systems. Closure Components: Strong understanding of closure components , including hardware and sealing systems . Door Modules: Experience with door modules . Window Regulator: Knowledge of window regulator systems. Sealings: Understanding of sealings . Sheet Metal: Knowledge of sheet metal fabrication processes. OEM Experience: Experience working with OEM s. Team Oriented: Ability to work effectively as part of a team. Self-Starter: Demonstrated ability to work independently and take initiative. B.E. / B. Tech. / M. E / M. Tech – Mechanical / Automotive / Electrical engineering Experience Required: 8 - 12 years of relevant experience in the automotive industry, with a focus on closure systems design. This level of experience indicates a senior-level role requiring a high degree of technical expertise and the ability to lead and mentor junior engineers.