Software QA Test and Tools Developer – Automotive Platform
Nvidia
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This role on the market
238 open automotive roles across 53 companies are on ApplySarthi right now, most of them in Bengaluru (11), Delhi NCR (4), Pune (3).
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- Automotive EngineerHitachi
What automotive roles keep asking for: CRM (19%), Stakeholder management (16%), Customer success (15%) — counted across their open postings here.
C++ jobs · CI/CD jobs · LLMs jobs · Linux jobs
Nvidia has 3,820 open roles listed here.
- Software Developer - Networking
- Manager, Silicon Circuit and Power Integrity - Silicon Co-Design Group
- Senior Physical Design Methodology Engineerbengaluru
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- Manager, Software Verification
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for automotive roles keep coming back to CRM, Stakeholder management, Customer success. Practise those questions before you sit with Nvidia.
Questions you are likely to be asked
- Why do you want to join Nvidia?
- What is your experience with LLMs? Tell me one thing you learned the hard way.
- How do you decide what to test when time is short?
- Tell me about a serious bug you caught before release. How did you find it?
- What would you automate first, and what would you keep manual?
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Practise the Software QA Test and Tools Developer – Automotive Platform at Nvidia interview free →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 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. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Come build the future with us! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status.
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Listed on workday · posted 2026-09-26. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.