Rohit Kumar Rai
Software Test Engineer | System Test Engineer | automotive cybersecurity & Diagnostic Expert
I am an ISTQB Certified Test Analyst with over 7 years of experience in automotive software and systems validation, specializing in ADAS, BCM, Electric Vehicle chargers and BMS ECU.
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Professional Summary:
Senior Software Test Engineer
ISTQB® certified Software Test Engineer with 7+ years of experience in the automotive domain, specializing in ADAS, AUTOSAR, BCM ECUs, and advanced diagnostics (UDS/OBD). I have hands-on experience in testing Battery Management Systems (BMS) and validating EV Chargers (2kW), contributing to the development of efficient and reliable electric mobility solutions. Proven expertise in high-speed automotive communication (SOME/IP, DoIP), ECU validation, and compliance with ASPICE, ISO 26262, and ISO/SAE 21434 standards. Skilled in tools like CANoe, ODIS, MATLAB, Git, GitHub and Jenkins with strong command over protocols including CAN, LIN, Ethernet, and UDS. Passionate about delivering secure, reliable, and audit-ready solutions for global OEMs and Tier-1 suppliers.
📍Current Location: Pune, India | Hometown: Varanasi, India
🌍 Open to global relocation and roles requiring visa sponsorship.
ISTQB® Certified
Test Analyst with a strong track record in automotive standards and validation.
Process-Driven Approach
Ensuring seamless validation, quality assurance, and ASPICE audit-ready delivery for complex automotive projects.
Standards Compliant
Aligning projects with AUTOSAR, ASPICE, ISO/SAE 21434 (cybersecurity), and ISO 26262 (functional safety).
Technical Strengths:
System & ECU Validation
  • ADAS, BCM, EV Charger, BMS
  • Diagnostics, HIL Test
Network Protocols
  • CAN, LIN, UDS, Ethernet, XCP
  • UART, SPI, I2C, OBD-II
Tools & Platforms
  • Vector Canoe, CANalyzer, ODIS
  • winIDEA, TRACE32, MATLAB/Simulink
Automotive Standards
  • AUTOSAR, ASPICE, V-Model
  • Functional Safety (ISO 26262)
Test Automation & CI/CD
  • vTESTStudio, CAPL, Python
  • Git, GitHub, Jenkins
Cybersecurity
  • VKMS, SecOc, TLS, PKI, HSM
  • TARA, ISO/SAE 21434, Cryptography
Top Skills:
1
Automotive Diagnostics
Expertise in diagnosing and repairing automotive issues using advanced tools.
2
MATLAB/
Simulink
Experienced in modeling, simulation, and performance analysis of Li-ion battery systems, including SOC/SOH estimation and thermal behavior.
3
Python
Proficiency in Python programming language for various applications.
My Skill Proficiency Matrix:
100%
Diagnostic Verification
Validated 500+ UDS Services for 4 ECUs
70%
Test Automation
70% Test Automation Implemented
95%
Issue Resolution
95% Defects Closed Pre-SOP with <24h Turnaround
My Testing & Validation Workflow for Automotive ECUs:
1
Understand Requirements
Analyze stakeholder and system requirements through IBM DOORS/PTC Integrity.
📌 Includes cross-functional requirement reviews with system, safety, and software teams.
2
Plan the Testing
Define a test strategy, coverage matrix, and resource plan aligned with project milestones.
🤝 Test plan reviewed with PMs, architects, and QA teams for alignment.
3
Set Up the Environment
Prepare bench setups, HIL systems, tools (Vector Canoe, CANalyzer, winIDEA/TRACE32, ODIS ) and test automation infra.
🧩 Coordinate with hardware, tooling, and diagnostic teams during setup.
4
Design Test Cases
Create detailed functional, diagnostic, and safety test cases based on requirements.
🔄 CFR/Peer reviews conducted to ensure accuracy, traceability, and coverage.
5
Configure the ECUs
Flash latest firmware on ECUs, set CANoe RBS and simulation tools for validation.
🔗 Align configurations with integration and release engineering teams.
6
Perform Testing
Run tests in bench or vehicle environments; capture logs, anomalies, and results.
📋 Regular sync-ups with dev, diagnostics, and automation teams during execution.
7
Track and Triage Bugs
Log, analyze, and triage issues in JIRA. Collaborate with devlopers to debug and fix.
📣 Participate in defect review boards and daily triage meetings.
8
Analyze and Report
Create dashboards and reports with KPIs: pass rate, defect trends, coverage, etc.
🧾 Reports shared during validation reviews and milestone gate meetings.
9
Ensure Compliance
Validate software against ASPICE, ISO 26262, and OEM-specific standards.
♻️ Run automated regression tests across all major releases.
Experience: Magna International (Nov 2022 – Present)
Project: Multi Functional Camera (ADAS ECU)
Client: Volkswagen Group – VW/Audi
Project Overview: This project integrates a forward-facing Camera system with EYEQ5 and Aurix microcontrollers to enhance driver assistance and real-time decision-making. The EYEQ5 controller handles image processing tasks such as object detection, lane keeping, and sensor fusion, while the Aurix controller executes control actions using the processed data. Together, they deliver a reliable, high-performance solution for advanced driver-assistance systems (ADAS).
Roles & Responsibilities:
  • Verified software component integration across multiple ECUs for real-time performance.
  • Analyzed SW architecture and mapped functional requirements to test cases, achieving 100% coverage.
  • Designed and executed 300+ test scenarios for Automotive Ethernet, CAN/CAN FD, DoIP, and XCP.
  • Developed automated test scripts using CANoe and vTESTStudio, reducing manual effort by 90%.
Automation Framework
Reduced manual testing by 90% by designing and implementing a scalable automation framework for validating camera-based ADAS features, enhancing test efficiency and repeatability.
Test Coverage
•Designed and executed 300+ targeted test scenarios covering Automotive Ethernet, CAN/CAN FD, DoIP, and XCP protocols.
•Improved test coverage by 25% and early defect detection by 30% .
CI/CD Integration
Enhanced CI/CD pipeline integration, enabling seamless build, deployment, and validation for continuous software delivery.
International Business Travel – Magna, Sailauf, Germany
Led onsite validation activities for Object Detection, Pedestrian Detection, and Traffic Sign Recognition features during a 3-week assignment at the Magna office in Sailauf, Germany.
Experience: Marelli India Pvt. Ltd (May 2022 – Nov 2022)
Project: Body Control Module (BCM)
Client: Citroën
Project Overview:
The Body Control Cluster Module (BCCM) integrates the functions of the Body Control Module (BCM) and the Instrument Panel Cluster (IPC) into a single system. It manages vehicle body functions like lighting, locks, and wipers while also displaying critical driver information such as speed, warnings, and system status. This unified module enhances communication efficiency, reduces wiring complexity, and supports advanced diagnostics.
Roles & Responsibilities:
  • Validated 100% of Body Control Module (BCM) software components, conducting Software Qualification Testing (SWE.6).
  • Performed Software testing to validate 100% of BCM software as per SRS and interface specs.
  • Validated SOC display accuracy by testing high-voltage battery charge states under simulated and real-vehicle conditions.
  • Improved average fuel efficiency calculations by identifying and resolving logic errors during functional testing.
  • Tested power window operations with 100% coverage of safety interlock conditions using functional and boundary test cases.
  • Ensured tripmeter and odometer accuracy by verifying reset logic, distance tracking through black-box validation techniques.
  • Maintained requirement traceability using IBM DOORS across all updates.
  • Created and validated 100+ traceable test cases using regression, smoke, and sanity methods.
  • Resolved 95% of critical defects through RCA and JIRA-based tracking.
  • Ensured ASPICE compliance and audit readiness.
Experience: Interface Microsystems (Sep 2021 – May 2022)
Project: Intelligent Battery Sensor (IBS/BMS)
Client: Mahindra & Mahindra
Project Overview:
Intelligent Battery System is a vehicle-mounted solution designed to monitor key battery parameters (voltage, current, and temperature) in real time. Built around a custom ASIC and utilizing a precision shunt resistor at the battery's negative terminal, it enables accurate State of Charge (SOC) calculation. The system communicates via the LIN network and dynamically controls the alternator based on driving and vehicle conditions. It intelligently manages alternator operation across various modes Cutoff, Regenerative, Normal and Reserved to optimize battery performance, enhance energy efficiency, and support advanced vehicle electrical systems.
Roles & Responsibilities:
  • Defined and executed validation strategy for Alternator control logic, SOC computation, and power mode transitions across multiple vehicle states.
  • Created detailed test cases with pre/post conditions, priority, ASIL rating, and applied methods like boundary value, equivalence partitioning, and fault injection.
  • Tested SOC correction mechanisms using real-time Coulomb Counting and OCV correction with EEPROM data handling.
  • Captured and analyzed log data, validated voltage/current/temperature against specifications, and reported defects with reproducible steps.
  • Simulated LIN/CAN communication faults, verified diagnostic frames and ensured fallback to safe alternator modes.
  • Successfully executed end-to-end Customer Acceptance Testing for 1 month on-site and achieved client sign-off for SOP software.
  • Ensured 100% requirement-to-test traceability for Intelligent Battery Sensor (IBS/BMS) with ASPICE-compliant workflows.
  • Automated 200+ test cases via vTESTStudio and CAPL, cutting manual effort by 85% and boosting coverage by 70%.
  • Reduced test cycle time by 30% with reusable test architectures automating regression workflows.
  • Enhanced functional safety assurance by applying ISO 26262-compliant validation techniques across multiple ECU platforms.
  • Validated diagnostic communication reliability by simulating UDS, CAN, and LIN protocols using Vector CANoe & CAPL.
Experience: Exicom Tele- Systems Ltd.(Jun 2018 – Sep 2021)
Project: 2kW EV Charger, Li-ion Battery & BMS Testing
Client: Mahindra & Mahindra
Project Overview:
A compact 2kW electric charger was developed to supply efficient and safe charging for Mahindra 3-wheeler e-rickshaws. The charger ensures fast battery recharge with built-in protections, supporting sustainable and reliable electric urban transportation.
Additionally, the project involved extensive validation of Li-ion battery systems and Battery Management System (BMS) to ensure functional safety, performance, and diagnostics compliance.
Roles & Responsibilities:
1
2 kW Electric Vehicle Charger & Li-ion Battery(48v/35AH) Performance Validation
Improved electric vehicle charger efficiency by 20% through rigorous testing, root cause analysis, and performance tuning.
2
Test Environment Development & System-Level Validation
Designed and deployed custom test environments to conduct system-level validation of 2kW EV chargers under various operating conditions.
3
Battery Management System (BMS)
Reduced critical issues by 25% through FMEA-based analysis, identifying and addressing design inefficiencies across BMS functions such as SoC, SoH, and thermal monitoring.
4
Field Failure Reduction
Achieved 25% reduction in field failures by implementing structured testing strategies and corrective actions based on failure mode analysis.
Certifications & Recognition:
  • ISTQB® Certified Advanced Test Analyst
  • ISTQB® Certified Foundation Level Tester
  • Automotive SPICE 3.1 (VDA Scope)
  • Python Using AI workshop
  • MATLAB Onramp
  • Simulink Onramp
  • Stateflow Onramp
  • Recognized with Magna Technology Excellence Award
  • Received 3× Magna Appreciation Awards for outstanding performance
Committed to lifelong learning – more certifications ahead 🎓➡️
Education, Languages & Interests:
Education
Bachelor of Technology (B.Tech) Electrical Engineering
GLA University | Mathura, India
Languages
English, Hindi (Native), Bhojpuri
Interests
Passionate about morning hikes and playing cricket, fostering a balanced and active lifestyle.
Contact Me:
Mobile: +91 - 8810244053
Email: [email protected]
LinkedIn: www.linkedin.com/in/rohitrai5584
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