Narendrareddyc

Automotive Validation Engineer with 5 years of experience in ADAS integration & validation, HIL testing, ECU diagnostics, CAN/FlexRay communication, and embedded automotive systems verification. Proven expertise in ECU validation, automation testing, CAN & UDS protocols, requirement-based testing, and defect analysis within safety-critical automotive environments. Hands-on experience with industry-standard tools including CANoe, CANalyzer, CANape, CodeBeamer, DOORS, PTC Windchill, Ascent, and BMW diagnostic tools (E-Sys, EDIABAS, Diagnoser).

Proficient in test case design, requirement analysis, defect management, and automation scripting using CAPL, Python. ISTQB CTFL Certified, with strong knowledge of software testing methodologies, STLC, Agile practices, and quality assurance processes. Seeking a challenging role to leverage expertise in automotive embedded systems testing and validation, contributing to high-quality product delivery and organizational growth.

Software Engineer at Hinduja Tech Pvt Ltd (2023-05 – Present)

Project: Airbag ECU Validation (RNM & Stellantis)

• Performed ECU validation and system testing for Airbag Safety Systems using ARIA HIL test bench
• Developed and executed automated test scripts using CAPL, Python, and JavaScript
• Conducted functional testing and diagnostic testing using CAN and UDS protocols
• Designed test cases from requirements (SRS to SRTP) ensuring requirement traceability
• Validated EDR (Event Data Recorder) variants: China_EDR, US_EDR
• Worked on modules: EDR, CAN Communication, UDS, PPD, LOOPS, AWL
• Performed flashing of ECU using Ascent tool (. s37 files)
• Executed test cases on HIL environment and analysed results
• Logged and tracked defects using Code Beamer, performed defect triaging and root cause analysis
• Ensured 100% requirement coverage and validation compliance
• Collaborated with cross-functional teams for issue resolution and system integration

Test Engineer at Hinduja Tech Pvt Ltd (2021-06 – 2023-05)

Project: ADAS Validation

• Integrated and validated ADAS features including Lane Keeping Assist (LKA), Adaptive Cruise Control (ACC), and Lane Change Warning Assist (LCWA) on production ECUs using HIL simulations and vehicle log analysis
• Worked on QNX platform and analyzed lane/vehicle object data for feature validation
• Checked sensor fusion consistency across camera and radar inputs
• Analyzed CAN/FlexRay signals and resolved communication failures
• Performed diagnostics, flashing, coding, and communication validation using CAN, CANape, and FlexRay tools
• Collaborated with global Agile teams and OEM stakeholders to ensure milestone alignment and on-time delivery
• Delivered stable ADAS releases with improved processing times and reduced integration failures

Bachelor of Technology in Computer Science and Engineering – Siddhartha College of Engineering, Tirupati, JNTUA