Gen Ai Jobs in Pune

Senior Executive - SDET

RLE India Private Limited•

Pune

•full time

Job Summary We are seeking a highly skilled and experienced Senior Executive - SDET to join our team in Pune. This role is critical to ensuring the quality and reliability of our software applications, particularly within the rapidly evolving landscape of AI and automotive technologies. The ideal candidate will possess a strong analytical background, a proven ability to troubleshoot complex issues, and a passion for leveraging automation to deliver high-quality software. Key Responsibilities The Senior Executive - SDET will be responsible for a range of activities related to software testing, analysis, and quality assurance. This includes, but is not limited to, the design and execution of test plans, the identification and resolution of defects, and the continuous improvement of our testing processes. The role requires a proactive approach to problem-solving and a commitment to delivering exceptional quality. Required Skills & Qualifications Data Analysis: Demonstrated ability to analyze large datasets to identify trends, patterns, and anomalies that may impact software quality. Decision Making: Proven ability to make sound, data-driven decisions in a fast-paced environment. Scripting Language: Proficiency in scripting languages for test automation and data manipulation. Python: Strong working knowledge of Python for scripting and automation tasks. TypeScript: Experience with TypeScript for developing robust and maintainable test scripts. Logging Tool: Familiarity with various Logging Tool to analyze application behavior and identify potential issues. Issue Debug Tool: Expertise in using Issue Debug Tool to effectively diagnose and resolve software defects. Log: Ability to interpret and analyze Log files to identify root causes of issues. Software Application Diagnostic: Skilled in performing Software Application Diagnostic to pinpoint the source of errors. Software Application Analysis: Ability to conduct thorough Software Application Analysis to ensure functionality and performance. Linux Basics: Solid understanding of Linux Basics for navigating and troubleshooting environments. Vi Editor: Proficiency in using the Vi Editor for efficient code and configuration file editing. Spreadsheet: Ability to utilize Spreadsheet software for data organization and analysis. Google Docs: Comfortable using Google Docs for collaboration and documentation. Report Generation: Ability to generate comprehensive Report Generation to communicate testing results. Report Tracing: Skilled in Report Tracing to understand the flow of data and identify potential issues. Cellular Network LTE: Understanding of Cellular Network LTE protocols and their impact on software functionality. P - CSCF, I -CSCF: Knowledge of P - CSCF and I -CSCF within the context of telecommunications infrastructure. IP Networking: Strong foundation in IP Networking concepts and protocols. DHCP, DNS, Gateway, Proxy: Familiarity with DHCP , DNS , Gateway , and Proxy technologies. AI IDE: Experience with AI IDE for developing and testing AI-powered applications. AI Framework: Knowledge of various AI Framework for building and deploying machine learning models. Cursor, Claude Code: Experience with Cursor and Claude Code for AI-assisted coding and development. Tight Deadlines: Ability to thrive under Tight Deadlines and deliver results efficiently. On Time Delivery: Commitment to On Time Delivery of high-quality software. Communication Skill: Excellent Communication Skill for effectively collaborating with cross-functional teams. New Technology: Eagerness to learn and adapt to New Technology . Domain Knowledge: Strong Domain Knowledge in relevant areas such as telematics, infotainment, and embedded software. Test Framework: Proficiency in using various Test Framework for automated testing. Automation: Expertise in Automation to streamline testing processes and improve efficiency. Quality Assurance: Deep understanding of Quality Assurance principles and best practices. Validation, Verification: Ability to perform both Validation and Verification testing to ensure software meets requirements. AI, Machine Learning, Gen AI: Solid understanding of AI , Machine Learning , and Gen AI concepts. Prompt Engineering: Experience with Prompt Engineering to optimize the performance of AI models. Telematics, Infotainment, Embedded Software: Experience in testing Telematics , Infotainment , and Embedded Software systems. Automation Framework: Experience with Automation Framework for building and maintaining automated test suites. Dev: Understanding of the Dev cycle and its impact on testing. GPS, LIDAR, RADAR, V2X, ADAS: Familiarity with GPS , LIDAR , RADAR , V2X , and ADAS technologies. AI Algorithms: Knowledge of various AI Algorithms and their application in software development. Component, Modules: Ability to test individual Component and Modules within a larger software system. Experience Required: The ideal candidate will have 4 - 6 years of experience in a similar role, demonstrating a track record of success in delivering high-quality software through rigorous testing and automation. What We Offer Salary:

Software Engineer_SDET

RLE India Private Limited•

Pune

•Full-time

Software Engineer_SDET Job Description Job Summary We are seeking a skilled Software Engineer_SDET to join our team in Pune. This role will focus on ensuring the quality and reliability of our software applications through rigorous testing and automation. The ideal candidate will possess a strong analytical background and a passion for delivering high-quality software. Key Responsibilities This role requires a proactive approach to software quality assurance, encompassing validation, verification, and continuous improvement of our development processes. The Software Engineer_SDET will be responsible for identifying and resolving software defects, contributing to the development of automated test suites, and collaborating closely with development teams to ensure the delivery of robust and reliable software. Required Skills & Qualifications Data Analysis: Ability to analyze complex data sets to identify trends, patterns, and anomalies that may impact software quality. Decision Making: Demonstrated ability to make sound judgments and decisions based on data and analysis, ensuring the best course of action for software quality. Scripting Language: Proficiency in scripting languages for test automation and data manipulation. Python: Strong understanding and practical experience with Python for scripting and automation tasks. Type Script: Familiarity with Type Script for enhanced code quality and maintainability. Logging Tool: Experience utilizing Logging Tool to effectively monitor and analyze application behavior. Issue Debug Tool: Proficiency in using Issue Debug Tool to identify and resolve software defects efficiently. Log: Ability to analyze and interpret Log files to diagnose and resolve software issues. Software Application Diagnostic: Expertise in performing Software Application Diagnostic to identify root causes of software failures. Software Application Analysis: Ability to conduct thorough Software Application Analysis to assess functionality and performance. Linux Basics: Fundamental understanding of Linux operating system principles. Linux Commands: Proficiency in utilizing common Linux Commands for system administration and software development tasks. Vi Editor: Experience with the Vi Editor for efficient code editing and manipulation. Spreadsheet: Ability to utilize Spreadsheet software for data analysis and reporting. Google Docs: Familiarity with Google Docs for collaborative documentation and communication. Report Generation: Ability to generate comprehensive Report documents to communicate findings and recommendations. Report Tracing: Skill in performing Report Tracing to understand data flow and identify potential issues. Cellular Network LTE: Understanding of Cellular Network LTE protocols and technologies. P-CSCF: Knowledge of P-CSCF functionality within a cellular network architecture. I-CSCF: Understanding of I-CSCF role in inter-carrier communication. IP Networking: Solid foundation in IP Networking principles and protocols. DHCP: Familiarity with DHCP for dynamic IP address assignment. DNS: Understanding of DNS for domain name resolution. Gateway: Knowledge of Gateway functionality for network traffic management. Proxy: Understanding of Proxy servers and their role in network security and performance. AI IDE: Experience with AI IDE for enhanced code completion and assistance. Framework: Ability to work within established Framework structures for software development. Cursor: Understanding of Cursor functionality within software applications. Claude Code: Experience with Claude Code for code generation and analysis. Test Framework: Proficiency in utilizing various Test Framework for automated testing. Automation: Strong skills in Automation to streamline testing processes. Quality Assurance: Commitment to Quality Assurance best practices. Validation: Ability to perform Validation testing to ensure software meets requirements. Verification: Ability to perform Verification testing to confirm software functionality. AI: Understanding of AI principles and applications. Machine Learning: Familiarity with Machine Learning algorithms and techniques. Gen AI: Knowledge of Gen AI concepts and applications. Prompt Engineering: Ability to craft effective Prompt Engineering for AI models. Telematics: Understanding of Telematics systems and data. Infotainment: Knowledge of Infotainment systems and their integration. Embedded Software: Experience with Embedded Software development. Automation Framework: Ability to design and implement Automation Framework . Dev: Understanding of the Dev cycle and its integration with testing. GPS: Familiarity with GPS technology and its applications. LIDAR: Understanding of LIDAR technology and its applications. RADAR: Knowledge of RADAR technology and its applications. V2X: Understanding of V2X communication protocols. ADAS: Familiarity with ADAS systems and their functionality. AI Algorithms: Knowledge of various AI Algorithms . Component: Ability to work with individual Component within a larger system. Modules: Understanding of Modules and their interdependencies. Communication Skill: Excellent Communication Skill for effective collaboration. New Technology: Eagerness to learn and adapt to New Technology . Domain Knowledge: Strong Domain Knowledge in relevant areas. On Time Delivery: Demonstrated ability to meet On Time Delivery targets. Tight Deadlines: Ability to work effectively under Tight Deadlines . What We Offer Experience Required: We are seeking candidates with 4 - 6 years of relevant experience. This level of experience indicates a proven ability to independently contribute to software quality assurance efforts and mentor junior team members. 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:

DE/DL – CLOSURES

RLE India Private Limited•

Pune

•full time

Job Summary We are seeking a skilled and motivated Design Engineer/Design Lead (DE/DL) – Closures to join our team in Pune. This role will focus on the design and development of closure systems for automotive applications. The ideal candidate will possess a strong understanding of mechanical engineering principles and a proven ability to solve complex design challenges. Key Responsibilities The responsibilities of this role will include, but are not limited to: Performing concept design and feasibility studies for closure systems. Developing and designing closure components such as hoods , fenders , liftgates , tailgates , and side doors . Creating detailed designs and specifications for hardware and sealing systems . Working with door modules and manual tops . Managing and executing mechanism product design . Overseeing modules development and ensuring CFT convergence . Addressing closure product problem solving . Ensuring compliance with homologation and regulation compliance requirements. Required Skills & Qualifications The ideal candidate will 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 design and manufacturing challenges. Communication Skills: Excellent written and verbal communication skills, with the ability to effectively communicate technical information to both technical and non-technical audiences. Closure Components: A thorough understanding of closure system components and their functionality. Concept Design: Proficiency in generating and evaluating conceptual designs for closure systems. Feasibility Studies: Experience conducting feasibility studies to assess the viability of different design options. Hoods, Fenders, Liftgates, Tailgates, Side Doors: Detailed knowledge of the design and manufacturing processes for these closure components. Hardware & Sealing Systems: Experience with the selection and integration of appropriate hardware and sealing systems. Door Modules & Manual Tops: Familiarity with the design and integration of door modules and manual top systems. Sheet Metal: Strong understanding of sheet metal design and manufacturing processes, including sheet metal press and stamping . Hemming, Sealing, Modules Development: Experience with these processes related to closure systems. UG NX & CATIA: Proficiency in using UG NX and CATIA for 3D modeling and design. Team Centre & PLM: Experience with Team Centre and PLM systems for product data management. OEM Experience: Prior experience working with OEM s in the automotive industry. Regulation Compliance: Knowledge of automotive industry regulations and standards. Education: B.E. / B. Tech. / M. E / M. Tech in Mechanical / Automotive / Electrical engineering. 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.