Testing Jobs in Bangalore

Scrum Master

RLE India Private Limited•

Pune

•full time

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

Hardware Design

RLE India Private Limited•

Bengaluru

•full time

Job Summary We are seeking a highly skilled and experienced Hardware Design professional to join our team. This role will be responsible for the design and development of hardware solutions, ensuring they meet performance, reliability, and manufacturability requirements. The ideal candidate will possess a strong foundation in electrical engineering principles and a proven ability to translate design concepts into functional hardware. Key Responsibilities This role will involve a range of responsibilities related to the design and validation of hardware components and systems. The candidate will be expected to contribute to the entire hardware development lifecycle, from initial concept to production release. Required Skills & Qualifications B.E./B.Tech/B.Sc or M.E./M.Tech/M.Sc in Electrical Engineering : A foundational degree in Electrical Engineering is required, demonstrating a strong understanding of electrical engineering principles and practices. Electrical Engineering : A deep understanding of electrical engineering principles, including circuit theory, electromagnetics, and signal processing, is essential. Hardware Engineering : Demonstrated experience in hardware design and development, with a focus on creating robust and reliable hardware solutions. Schematic Capture : Proficiency in creating detailed and accurate schematics using industry-standard tools, ensuring clear documentation of circuit designs. PCB Layout Design : Expertise in designing printed circuit boards ( PCB s) that optimize signal integrity, thermal management, and manufacturability. Circuit Simulation : Ability to utilize circuit simulation tools to analyze and optimize circuit performance before physical implementation. PCB Design : Comprehensive knowledge of PCB design principles, including layer stack-up, trace routing, and component placement. Testing : Experience in designing and executing hardware testing plans to validate functionality and identify potential issues. Manufacturing : Understanding of manufacturing processes and design for manufacturability (DFM) principles. Problem Solving : Strong analytical and problem-solving skills to effectively troubleshoot hardware issues and identify root causes. Communication Skills : Excellent written and verbal communication skills to effectively collaborate with cross-functional teams. Analytical Skills : Ability to analyze complex data and draw meaningful conclusions to inform design decisions. LTE : Knowledge of Long-Term Evolution ( LTE ) wireless communication standards and their implementation in hardware. Wi-Fi : Familiarity with Wi-Fi wireless communication protocols and their integration into hardware designs. GNSS : Understanding of Global Navigation Satellite Systems ( GNSS ) and their application in hardware solutions. BLE : Experience with Bluetooth Low Energy ( BLE ) technology and its implementation in hardware. CAN : Knowledge of Controller Area Network ( CAN ) communication protocol and its use in automotive and industrial applications. RS-485 : Familiarity with the RS-485 serial communication standard and its application in hardware designs. SPI : Understanding of Serial Peripheral Interface ( SPI ) protocol and its implementation in hardware. I2C : Knowledge of Inter-Integrated Circuit ( I2C ) protocol and its application in hardware designs. Relays : Experience in designing and integrating relay circuits into hardware systems. Power Supply Circuits : Expertise in designing and implementing efficient and reliable power supply circuits. Micro-Controller Design : Experience in designing and integrating micro-controllers into hardware systems. Sensing Circuits : Ability to design and implement circuits for various types of sensors. VCU : Understanding of Vehicle Control Unit ( VCU ) functionality and integration with hardware components. BMS : Knowledge of Battery Management System ( BMS ) principles and their application in hardware designs. Chargers : Experience in designing and implementing charging circuits for various battery types. Power-Train : Familiarity with power-train systems and their integration with hardware components. Instrument Clusters : Understanding of instrument cluster design and integration with hardware components. RCA : Ability to perform Root Cause Analysis ( RCA ) to identify and resolve hardware issues. Experience Required: The ideal candidate will possess a minimum of 10-18 years of relevant experience in hardware design and development. This level of experience indicates a high degree of proficiency and the ability to lead complex hardware projects. What We Offer Salary: Work Mode: Onsite

AI Build Engineer

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•full time

Job Summary We are seeking a skilled and experienced AI Build Engineer to join our dynamic team. This role will be responsible for building and deploying cutting-edge AI solutions, leveraging a variety of technologies and methodologies. The ideal candidate will possess a strong foundation in software engineering principles and a passion for AI innovation. Key Responsibilities The AI Build Engineer will be responsible for the design, development, and implementation of AI applications. This includes collaborating with cross-functional teams to define requirements, designing and building robust and scalable AI solutions, and ensuring the quality and reliability of deployed AI models. The role also involves continuous monitoring and optimization of AI systems to ensure peak performance and alignment with business objectives. Required Skills & Qualifications Programming Languages: Proficiency in multiple programming languages including Python , JavaScript , TypeScript , and C# . This includes the ability to write clean, efficient, and well-documented code. Large Language Models (LLMs): A strong understanding of LLMs and their application in various use cases. Retrieval-Augmented Generation (RAG): Experience with RAG techniques to enhance the capabilities of LLMs . Prompt Engineering: Expertise in Prompt Engineering to design effective prompts for LLMs . Vector Databases: Familiarity with Vector Databases and their use in storing and retrieving vector embeddings. Agentic AI: Knowledge of Agentic AI principles and their application in building autonomous agents. Cloud Platforms: Experience with cloud platforms such as Azure and AWS , including Azure AI Services , Azure OpenAI , AWS Bedrock , and Vertex AI . Containerization & Orchestration: Proficiency in Docker and Kubernetes for containerizing and orchestrating AI applications. DevOps & CI/CD: Experience with DevOps practices and CI/CD pipelines using tools like GitHub Actions and Azure DevOps . MLOps: Understanding of MLOps principles and best practices for managing the ML lifecycle. AI Application Integration: Ability to integrate AI applications into existing systems and workflows. Testing & Monitoring: Experience with AI-infused testing , Monitoring , and Observability tools and techniques. Governance: Understanding of Governance principles related to AI systems. API & Microservices: Experience with API development and Microservices architectures. Additional Skills: Familiarity with MCP , Playwright , and AI copilots . Qualifications: Possession of AI/Cloud certifications such as Azure AI Engineer or AWS ML is highly desirable. Experience Required: We are seeking candidates with 5-10 years of relevant experience in software engineering and AI development. This level of experience should demonstrate a proven ability to design, build, and deploy complex AI solutions in a production environment. What We Offer The role is onsite .

AI Build Engineer (GenAI / Agentic AI / AI Automation)

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•Full-time

Job Summary We are seeking a skilled and experienced AI Build Engineer to join our growing team. This role will focus on the development and implementation of cutting-edge AI solutions, specifically within the realms of GenAI , Agentic AI , and AI Automation . The ideal candidate will possess a strong foundation in software engineering principles and a passion for leveraging AI to solve complex business challenges. This position is located in Bengaluru, Chennai, or Hyderabad. Key Responsibilities The AI Build Engineer will be responsible for designing, building, and deploying AI -powered applications and systems. This includes collaborating with cross-functional teams to define requirements, developing robust and scalable solutions, and ensuring the ongoing performance and reliability of deployed systems. The role demands a proactive approach to problem-solving and a commitment to delivering high-quality AI solutions. Required Skills & Qualifications Programming Languages: Proficiency in multiple programming languages is essential, including Python , JavaScript , TypeScript , and C# . Experience should demonstrate the ability to write clean, efficient, and well-documented code. Large Language Models (LLMs): A strong understanding of LLMs and their application in various use cases. Retrieval Augmented Generation (RAG): Experience implementing RAG architectures to enhance LLM capabilities with external knowledge sources. Prompt Engineering: Expertise in crafting effective prompts to elicit desired responses from LLMs . Vector Databases: Familiarity with vector databases and their use in storing and querying vector embeddings. Agentic AI: Experience in developing and deploying Agentic AI systems, leveraging autonomous agents to perform complex tasks. Model Context Protocol (MCP): Understanding of MCP and its role in managing AI model context. Testing & Automation: Experience with Playwright and AI-infused testing solutions to ensure the quality and reliability of AI systems. Frameworks & Libraries: Proficiency in utilizing frameworks and libraries such as LangChain and LangGraph for building LLM -powered applications. Cloud Platforms: Experience with Azure OpenAI , AWS Bedrock , and Vertex AI for developing and deploying AI models. Containerization & Orchestration: Solid understanding of Docker and Kubernetes for containerizing and orchestrating AI applications. DevOps & CI/CD: Experience with GitHub Actions and Azure DevOps for implementing CI/CD pipelines. MLOps: Knowledge of MLOps principles and practices for managing the entire ML lifecycle. AI Copilots: Familiarity with AI copilots and their integration into development workflows. Autonomous Agents: Experience in designing and implementing autonomous agents for various tasks. API & Microservices: Experience designing and building APIs and microservices for AI applications. Infrastructure: Understanding of monitoring , observability , and governance best practices for AI systems. Security: Commitment to building secure and responsible AI solutions. Analytical & Problem-Solving Skills: Strong analytical skills and problem-solving skills to effectively troubleshoot and resolve issues. Communication Skills: Excellent communication skills to effectively collaborate with cross-functional teams. Experience Required: 5 - 10 years of experience in software engineering with a focus on AI development. This level of experience is expected to demonstrate a proven ability to design, build, and deploy complex AI systems. The candidate should be comfortable working independently and as part of a team, and possess a strong understanding of software development best practices. Qualifications: AI/Cloud certifications ( Azure AI Engineer , AWS ML , etc.) are preferred. What We Offer Salary:

AI Build Engineer

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•full time

Job Summary We are seeking a skilled and motivated AI Build Engineer to join our growing team. This role will focus on building, deploying, and maintaining robust and scalable AI solutions. The ideal candidate will possess a strong foundation in software engineering principles and a passion for leveraging cutting-edge AI technologies. Key Responsibilities The AI Build Engineer will be responsible for the following: Developing and implementing AI models and applications using various programming languages and frameworks. Building and maintaining robust CI/CD pipelines for automated testing, building, and deployment of AI models. Ensuring the quality and reliability of AI solutions through rigorous testing and monitoring . Collaborating with cross-functional teams to define, design, and ship new features. Implementing and maintaining governance policies for AI models. Required Skills & Qualifications To be successful in this role, candidates must possess the following skills and qualifications: Proficiency in programming languages including Python , JavaScript , TypeScript , and C# . Experience with large language models ( LLMs ) and related techniques such as RAG (Retrieval Augmented Generation) and Prompt Engineering . Solid understanding of vector databases and their application in AI systems. Familiarity with Agentic AI concepts and implementation. Experience with Model Context Protocol (MCP) . Experience with testing frameworks such as Playwright . Experience with frameworks such as LangChain and LangGraph . Experience with cloud-based AI services including Azure OpenAI , AWS Bedrock , and Azure AI Services , and Vertex AI . Strong experience with containerization technologies such as Docker and orchestration platforms like Kubernetes . Experience with version control systems such as GitHub Actions and Azure DevOps . Knowledge of MLOps principles and practices. Familiarity with AI copilots and Autonomous agents . Experience with AI-infused testing solutions . Understanding of API design and development. Experience building Microservices architectures. Strong Analytical Skills , Problem-Solving Skills , and Communication Skills . Experience Required: 5 - 10 years of experience in software engineering with a focus on AI/ML. This level of experience indicates a seasoned professional capable of independently designing, developing, and deploying complex AI solutions. The candidate should be comfortable working in a fast-paced environment and collaborating with a diverse team of engineers and researchers. What We Offer Salary:

Test Architect – Functional, Automation & Performance Testing

SACHA Engineering•

Bengaluru

+4 More

Other Locations4 cities

Mumbai

Pune

Chennai

Hyderabad

•full time

Job Summary We are seeking a highly skilled and experienced Test Architect to join our team. This role will focus on developing and implementing comprehensive testing strategies encompassing functional, automation, and performance testing. The ideal candidate will possess a strong understanding of quality engineering principles and a proven ability to design and execute effective testing frameworks. Key Responsibilities The Test Architect will be responsible for the design, implementation, and maintenance of testing strategies and frameworks. This includes defining quality gates, establishing metrics, and ensuring adherence to best practices. The role will also involve collaboration with cross-functional teams to ensure the delivery of high-quality software releases. Required Skills & Qualifications Test Strategy: Demonstrated ability to develop and execute comprehensive test strategies aligned with business objectives and project requirements. Quality Engineering Architecture: Expertise in designing and implementing quality engineering architectures that support scalable and reliable testing processes. Functional Testing: Proficient in functional testing methodologies to ensure software meets specified requirements. Regression Testing: Experience in designing and executing regression testing suites to identify and prevent regressions. Automation Testing: Strong skills in automation testing, including the ability to design, develop, and maintain automated test scripts. API Testing: Knowledge of API testing techniques to validate the functionality and performance of APIs. Integration Testing: Experience in integration testing to ensure seamless integration between different software components. Performance Testing: Expertise in performance testing methodologies to identify and address performance bottlenecks. Non-Functional Testing: Understanding of non-functional testing aspects, including security, usability, and reliability. CI/CD Integration: Experience integrating testing processes into CI/CD pipelines. Performance Engineering: Ability to apply performance engineering principles to optimize software performance. Quality Gates: Ability to define and implement quality gates to ensure release quality. Metrics & Reporting: Experience in defining and tracking key testing metrics and generating comprehensive reports. Best Practices: Deep understanding of software testing best practices. Automation Frameworks: Experience with various Automation Frameworks . Reusability & Maintainability: Ability to design test automation frameworks with a focus on reusability and maintainability. Service Virtualization: Knowledge of Service Virtualization techniques for creating realistic testing environments. AI-Assisted Testing: Familiarity with AI-Assisted Testing concepts and tools. QE Practices: Strong understanding of QE Practices . Defect Prevention: Ability to identify and implement strategies for defect prevention. Release Quality: Commitment to ensuring high-quality software releases. Analytical Skills: Strong analytical skills to analyze test results and identify root causes of defects. Problem-Solving Skills: Excellent problem-solving skills to effectively troubleshoot and resolve testing issues. Communication Skills: Effective communication skills to clearly and concisely communicate testing results and recommendations. Test Architect: Demonstrated experience and expertise as a Test Architect . Experience Required: 9 - 16 years of experience in software testing, with a focus on test architecture and design. This level of seniority requires a proven track record of leading testing initiatives and mentoring junior team members. What We Offer Salary: 30 LPA

Hardware Design Engineer

RLE India Private Limited•

Bengaluru

•full time

Job Summary We are seeking a highly skilled and motivated Hardware Design Engineer to join our growing team. This role will be responsible for the design and development of hardware solutions, contributing to the advancement of our technology within the Technology industry. Key Responsibilities The Hardware Design Engineer will be responsible for a range of tasks related to hardware design and development, including schematic capture, PCB layout design, functional testing, and root cause analysis (RCA). They will also contribute to documentation and ensure designs are suitable for manufacturing. Required Skills & Qualifications The ideal candidate will possess a strong foundation in electrical engineering principles and a proven ability to design and implement complex hardware systems. The following skills and qualifications are essential: Electrical Engineering : A deep understanding of electrical engineering principles, including circuit theory, signal processing, and power electronics. Hardware Engineering : Demonstrated experience in the full hardware design lifecycle, from concept to production. Schematic Capture : Proficiency in creating detailed and accurate schematics using industry-standard software. PCB Layout Design : Expertise in designing printed circuit boards ( PCB ) that meet performance, manufacturability, and cost requirements. Wireless Communication Technologies : Familiarity with wireless communication protocols including LTE , Wi-Fi , GNSS , and BLE . Memory Technologies : Knowledge of Non-Volatile Memory technologies and their application in embedded systems. Communication Protocols : Experience with various communication protocols such as CAN , RS-485 , SPI , and I2C . Power Electronics : Understanding of Relays and Power Supply Circuits design and implementation. Micro-Controller Design : Experience in designing and integrating Micro-Controllers into hardware systems. Sensor Integration : Ability to design and implement Sensing Circuits for various applications. Vehicle Control Systems : Familiarity with VCU (Vehicle Control Unit) and BMS (Battery Management System) concepts. Power Systems : Experience with Chargers , Power-Train , and related power electronics. Automotive Systems : Knowledge of Instrument Clusters and their associated hardware requirements. Functional Testing : Ability to develop and execute comprehensive functional tests to validate hardware designs. Root Cause Analysis (RCA) : Proven ability to perform thorough RCA to identify and resolve hardware issues. Circuit Simulation : Proficiency in using Circuit Simulation tools to analyze and optimize circuit performance. Documentation : Excellent written and verbal communication skills with the ability to create clear and concise technical documentation. Testing : Experience with various testing methodologies and equipment. Manufacturing : Understanding of manufacturing processes and their impact on hardware design. Problem-Solving Skills : Strong analytical and Problem-Solving Skills to effectively address complex hardware challenges. Analytical Skills : Ability to apply Analytical Skills to evaluate designs and identify potential issues. Qualifications : A B.E./B.Tech/B.Sc or M.E./M.Tech/M.Sc in Electrical Engineering is required. Experience Required : We are seeking a candidate with 9-10 years of relevant experience in hardware design and development. This level of experience indicates a senior-level role with expectations of independent work, mentorship, and technical leadership. What We Offer Salary :

Energy Management -Vehicle performance test engineer

RLE India Private Limited•

Pune

•full time

JOB DESCRIPTION Position Title: Vehicle Performance Test Engineer Job Posting Category: Product Design & Engineering - Engineering Job Description The Test Engineer is responsible for passenger vehicle testing per the DVP plan and for providing test results for comparison against vehicle targets. These tasks are needed throughout all the development stages of a vehicle project, from the Mule stage to the final production. Vehicle testing must be performed on standard tracks at test sites equipped with the required instrumentation and test data analysis software. Typical activities include: (Preferably in passenger car) Perform DVP tests – Vehicle Coast Down, Full & part performance, on-road fuel economy, Gradeability, Max speed, Emission testing (TA & COP), etc. Perform subjective assessments for vehicle drivability, performance & Gear shift quality for manual and automatic transmission applications. Perform test data analysis and reports with observations. Perform benchmark vehicle testing and support for data comparison Perform diagnosis and root cause analysis for issues observed with the car Interaction with the Benchmarking team and Program team for data seeking and technical discussions Interaction with calibrators – application managers – chief engineers – site lead for discussion of results and possible requests of clarification Experience in using testing tools/instruments like V Box, Ipetronic, L350 Aqua sensor, CAN analyser, DFL. Experience in using INCA/ETAS/MDA for Data logging during testing Educational /Technical/Experience Basic Qualifications: (In passenger car segment) Bachelor’s degree in mechanical or Automobile Engineering 6 to 8 years of vehicle Energy management performance testing preferable for passenger cars Proficiency in actual vehicle testing at standard tracks (VRDE, NATRAX etc) Previous job in a vehicle testing department & hands-on experience with related instrumentation devices Experience/competence in data analysis with Excel, MDA, Power BI etc. Strong proficiency in Office suites (Google Slides, Google Sheets, Excel, PowerPoint etc) Soft skills : ● Ability to create concise and detailed technical reports. ● Good teamwork capability (communication and data sharing-review with peers) ● Capability to connect autonomously with the rest of the company as needed

Thermal performance Engineer

RLE India Private Limited•

Pune

•full time

Job Summary SENIOR EXECUTIVE - TARLE TECHNOLOGIES PRIVATE LIMITED is seeking a highly motivated and experienced professional to join our team. This role is within the Automotive industry and requires a strong background in mechanical or automotive engineering principles. We are looking for a candidate with a proven track record of success in managing and executing complex engineering projects. Key Responsibilities The Senior Executive will be responsible for overseeing and contributing to various aspects of project performance engineering, ensuring the successful delivery of projects within the Automotive domain. This includes coordinating efforts across multiple functional teams and providing regular reporting on project status and performance. Required Skills & Qualifications Education: A Bachelor’s or Master’s degree in the Mechanical or Automotive domain is required. Experience: A minimum of 8-12 years of relevant experience is expected. This seniority level requires a candidate capable of independent project management, mentoring junior engineers, and contributing to strategic decision-making. Project Performance Engineering: Demonstrated ability to analyze and improve project performance, identifying and implementing strategies to optimize efficiency and effectiveness. Functional Synthesis: Proficiency in synthesizing information from various functional areas to create a cohesive and integrated approach to problem-solving. Cross-Functional Coordination: Excellent ability to facilitate collaboration and communication across different teams and departments, ensuring alignment and shared goals. Validation Planning: Experience in developing and executing comprehensive validation plans to ensure product quality and reliability. Test-Data Synthesis: Ability to generate and analyze test data to identify potential issues and validate design solutions. Management Reporting: Strong skills in preparing and presenting clear and concise management reports on project status, risks, and performance. Aerothermal Validation: Knowledge and experience in validating aerothermal performance of automotive components and systems. HVAC Testing: Experience in conducting and analyzing HVAC (Heating, Ventilation, and Air Conditioning) testing for automotive applications. Thermal Performance: Understanding of thermal performance principles and their application to automotive design and testing. CAD Review: Ability to review and analyze CAD (Computer-Aided Design) models to identify potential design flaws or areas for improvement. CFD/1D Simulation Review: Experience in reviewing and interpreting results from Computational Fluid Dynamics (CFD) and 1D simulation models. DVP: Familiarity with Design Verification Plan (DVP) processes and methodologies. Vehicle Instrumentation: Knowledge of vehicle instrumentation systems and their role in data acquisition and analysis. Road Trip Testing: Experience in planning and executing road trip testing to evaluate vehicle performance under real-world conditions. Lab Testing: Proficiency in conducting and analyzing lab testing to evaluate component and system performance. Data Analysis: Strong analytical skills with the ability to interpret data and draw meaningful conclusions. Scorecard: Experience in developing and utilizing scorecards to track and measure project performance. PLM: Familiarity with Product Lifecycle Management ( PLM ) systems and their role in managing product data and processes. Microsoft Suite: Proficient in using Microsoft Suite applications, including PowerPoint , Excel (including Macro capabilities), and Word . Power BI: Experience using Power BI for data visualization and reporting. Analytical Skills: Demonstrated ability to analyze complex problems and develop effective solutions. Problem-Solving Skills: Strong problem-solving skills with the ability to identify root causes and implement corrective actions. Communication Skills: Excellent written and verbal communication skills with the ability to effectively communicate technical information to both technical and non-technical audiences. Leadership: Demonstrated leadership skills with the ability to motivate and inspire teams. Networking Abilities: Ability to build and maintain strong relationships with internal and external stakeholders. What We Offer Salary:

Vehicle Performance Test Engineer

RLE India Private Limited•

Remote

•full time

Job Summary We are seeking a highly motivated and experienced Vehicle Performance Test Engineer to join our team. This role will focus on conducting and analyzing vehicle performance tests, ensuring the quality and performance of our vehicles. Key Responsibilities The Vehicle Performance Test Engineer will be responsible for planning, executing, and documenting vehicle performance tests. This includes conducting various tests related to fuel economy, emissions, vehicle drivability, and transmission performance. The engineer will also be responsible for analyzing test data, identifying areas for improvement, and collaborating with engineering teams to implement solutions. Required Skills & Qualifications Bachelor’s degree in mechanical or Automobile Engineering. 6-8 years of experience in vehicle performance testing. This level of experience indicates a seasoned professional capable of independently planning and executing complex test programs, analyzing results, and contributing to vehicle development. Analytical Skills: Demonstrated ability to analyze complex data and draw meaningful conclusions. Problem-Solving Skills: Proven ability to identify and resolve technical issues related to vehicle performance. 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. Teamwork: Ability to work effectively as part of a team, collaborating with engineers and other stakeholders to achieve common goals. Data Analysis: Proficiency in data analysis techniques and methodologies. Excel: Advanced proficiency in Excel for data manipulation, analysis, and reporting. MDA: Experience with MDA (Motor Development Analyzer) for vehicle performance analysis. Power BI: Experience using Power BI for data visualization and reporting. Google Slides and Google Sheets: Proficiency in using Google Slides and Google Sheets for presentations and data management. PowerPoint: Proficiency in using PowerPoint for presentations. Vehicle Testing: Comprehensive understanding of vehicle testing methodologies and procedures. DVP Tests: Experience with DVP (Development Verification Plan) tests. Vehicle Coast Down: Expertise in conducting and analyzing Vehicle Coast Down tests. Fuel Economy: Deep understanding of Fuel Economy testing and analysis. Gradeability: Experience in evaluating Gradeability performance. Emission Testing: Knowledge of Emission Testing procedures and regulations. TA & COP: Familiarity with TA & COP (Transmission Application and Calibration Optimization Process). Subjective Assessment: Ability to conduct and interpret Subjective Assessment of vehicle performance. Vehicle Drivability: Experience in evaluating Vehicle Drivability characteristics. Gear Shift Quality: Ability to assess and analyze Gear Shift Quality . Manual Transmission: Understanding of Manual Transmission systems and testing. Automatic Transmission: Understanding of Automatic Transmission systems and testing. Benchmark Vehicle Testing: Experience in conducting Benchmark Vehicle Testing . Root Cause Analysis: Ability to perform Root Cause Analysis to identify and resolve performance issues. Benchmarking: Experience in conducting Benchmarking studies. Data Seeking: Ability to effectively Data Seeking to support analysis and decision-making. Technical Discussions: Ability to participate in and lead Technical Discussions . Calibration: Experience with vehicle Calibration processes. Application Management: Experience in Application Management related to vehicle testing. V Box: Experience using V Box for vehicle performance measurement. Ipetronic: Experience using Ipetronic for engine testing and analysis. L350 Aqua Sensor: Experience using L350 Aqua Sensor for environmental testing. CAN Analyser: Experience using CAN Analyser for vehicle communication analysis. DFL: Familiarity with DFL (Data Flash Loader). INCA: Experience using INCA (IN Control) for ECU calibration and diagnostics. ETAS: Familiarity with ETAS (Electrical Transport and Automotive Systems) products and technologies. What We Offer Salary: