What you will be doing:

• Define and develop comprehensive test strategies and test procedures based on functional and test design specifications of ADAS (Advanced Driver Assist Systems) Applications.
• Identify, record, document, and regress internal and external filed bugs.
• Participate in review and provide feedback on product feature requirements, specifications, and technical design documents.
• Collaborate closely with V&V (verification & validation) infrastructure team on overall product test strategy to satisfy ISO 26262 demonstrate safety of autonomous vehicles
• Write cpp-based code, implement unit tests, debug and fix issues in the code.
• Write python-based scripts, implement simulation scenarios. Working closely with various teams including project management, hardware, and software developers, provide technical analysis of the Top Bugs filed and periodically publish statistical data reports to all partners.
• Work on cloud-based test tools and automation of tests on Automotive platform using NVIDIA Test framework.

What we need to see:

• B.Tech. or Equivalent degree in CS/CE/IT/ECE/EEE
• At least 3+ years of professional experience in Embedded Software Validation preferably in the field of Autonomous Vehicle/ADAS domain.
• Experience with Linux and/or QNX is required.
• C++ coding experience. Understand the large C++ project code and derive functional/unit test.
• Good knowledge of Google Test Framework. Able to write and debug google tests with CPP environment.
• Good Knowledge of Python scripting language is required – able to write logical scripts/code from scratch.
• Strong experience in ADAS verification and validation of Scenarios using Hardware-in-Loop (HIL) and Software-in-Loop (SIL) Simulation setup.
• Good understanding of autonomous driving stack modules such as sensor fusion, radar perception, camera perception, localization, behavior planning, HD maps etc
• Knowledge of applicable safety standards and regulations (ASPICE, ISO 26262), industry benchmark. Up-to-date technical knowledge in the automotive industry.
• Experience in using Configuration Management tools (Git, Perforce) and Agile scrum tools (JIRA, JAMA).

Ways to stand out from the crowd:

• Experience with QNX OS.
• Any certification course on Machine learning / Self-driving car.
• Hands-on experience in HIL/SIL setup and Testing. Knowledge AV driving simulator (IPG Car Maker, Tass Prescan, etc...)