Software QA Test Developer

Are you ready to do your life’s work at the heart of the autonomous revolution? NVIDIA’s SWQA organization is seeking a world-class Software QA Test and Tool Developer to join our Automotive Platform team, where the code you validate ensures the safety of millions on the road. In this role, you won't just be testing software; you will be architecting the security and reliability of the next generation of intelligent vehicles. We are looking for engineers who are as comfortable navigating low-level product architecture as they are deep diving into complex product use cases with passion for quality. This is a high-impact, hands-on position focused on our industry-leading automotive products, offering a rare opportunity to influence the core of our tech stack. You will also build the tools and frameworks that define performance standards for systems running on Linux and QNX.

What you’ll be doing:

Design, execute, and automate comprehensive test cases and test scenarios to validate our automotive platforms using various test methodologies to identify and track actionable defects and track them to closure.

Participate in deep-dive reviews of product requirements and technical designs, providing critical feedback to ensure features are built for testability and security from day one.

Partner closely with project management, hardware teams, and software developers to provide rigorous technical analysis of bugs and publish data-driven statistical reports for global team members.

Architect and maintain a distributed test automation framework capable of managing high concurrency workloads across an extensive automation farm of hundreds of concurrent systems.

Develop sophisticated test libraries and automation solutions to accelerate development cycles and automated test coverage for reliable and 100%

Drive the full automation lifecycle, from analysing log failures and logging defects to leading bug-scrub cycles that ensure high-quality product releases.

What we need to see:

5+ years of proven experience in SWQA Test development & Automation engineering.

Bachelor's degree in computer science, Electronics & Electrical Engineering. Solid foundation in QNX or Linux-based operating systems, including a detailed understanding of system concepts and boot sequences.

Professional experience in System SW validation, Including CPU, Memory, GPU, Ethernet, CAN etc. Knowledge about Ethernet standards, TCP, UDP, ICMP, Switches, socket programming.

Strong Python or C++ skills with a focus on writing clean, maintainable, and testable code from a systems-level perspective.

Deep familiarity with AI-native development tools such as Claude Code, Cursor, or LLM APIs to optimize engineering velocity.

A clear understanding of LLM failure modes—including hallucination and context degradation—and experience building evaluation frameworks for AI-generated outputs.

Ways to stand out from the crowd:

Prior QNX, Linux testing experience especially in 1G & 10G Ethernet Testing & Socket programming.

C / C++ coding experience. Understand the large C / C++ project code and derive functional/unit tests.

Practical history of deploying prompt engineering or LLM-based agents within a production grade CI/CD pipeline.