We are 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 wont 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.
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 expand automated test coverage for reliable and 100%
- Drive the full automation lifecycle, from analyzing log failures and logging defects to leading bug-scrub cycles that ensure high-quality product releases.
What we need to see:
- 5+ years proven experience in an automation engineering or software development role.
- 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 Bootloaders, BSP, ARM Trusted Firmware, Trusted OS (TOS), and Secure Boot protocols.
- 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:
- Consistent track record of identifying vulnerabilities in low-level firmware or secure-boot implementations.
- Practical history of deploying prompt engineering or LLM-based agents within a production-grade CI/CD pipeline.
Work Experience: 5 – 10 Years
Location: Pune, India
About NVIDIA
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
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