Software QA Test and Tools Developer – Automotive Platform

Job Title

Software QA Test and Tools Developer – Automotive Platform

Role Summary

Join NVIDIA's Automotive Platform SWQA team to design and implement tests and tooling that validate safety-critical software for intelligent vehicles. The role focuses on system-level validation, test automation, and developing frameworks for Linux and QNX-based automotive systems.

Experience Level

Mid-level — 5+ years of relevant automation engineering or software development experience.

Responsibilities

Primary responsibilities include test design, automation, and collaboration with cross-functional teams to ensure product reliability and security.

• Design, execute, and automate comprehensive test cases and scenarios for automotive platforms; identify, track, and drive defects to closure.
• Review product requirements and technical designs to improve testability and security early in development.
• Collaborate with project management, hardware, and software teams to analyze bugs and publish data-driven reports.
• Architect and maintain a distributed automation framework able to run high-concurrency workloads across a large automation farm.
• Develop and extend test libraries and automation solutions to increase coverage and accelerate development cycles.
• Manage the full automation lifecycle: analyze failures, log defects, and lead bug-scrub cycles to support high-quality releases.

Requirements

Must-have technical skills and experience:

• 5+ years of professional experience in automation engineering or software development.
• Strong systems-level programming in Python or C++ with emphasis on clean, maintainable, testable code.
• Solid foundation in QNX or Linux-based operating systems, including system concepts and boot sequences.
• Practical experience in system SW validation (Bootloaders, BSP, ARM Trusted Firmware, Trusted OS, Secure Boot protocols).
• Experience architecting or operating distributed test automation infrastructure supporting many concurrent systems.
• Familiarity with AI-native development tools and LLM APIs to improve engineering velocity and evaluation frameworks.
• Nice-to-have: history of identifying vulnerabilities in low-level firmware or secure-boot implementations.
• Nice-to-have: experience deploying prompt-engineering or LLM-based agents within production CI/CD pipelines.

Education Requirements

Bachelor's degree in Computer Science or Electronics & Electrical Engineering is specified.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.