Software QA Test and Tools Developer – Automotive Platform
NVIDIA · Posted Oct 27
Graphics processing units, artificial intelligence platforms, accelerated computing, and data center solutions
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About the role
NVIDIA's SWQA organization validates software for the company's autonomous and automotive platforms, with a focus on safety, security, and reliability of intelligent vehicles. The team works across low-level system software on Linux and QNX, including bootloaders, BSP, firmware, and secure boot, and builds the tooling and frameworks used to test it. This role designs and automates test cases, architects a distributed test automation framework running on a large automation farm, and drives defect analysis and bug-scrub cycles for next-generation automotive products.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- 2+ 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.
Preferred qualifications
- 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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About NVIDIA
NVIDIA Corporation is a multinational technology company that designs graphics processing units (GPUs) for the gaming and professional markets, as well as system on a chip units (SoCs) for the mobile computing and automotive market. Pioneering accelerated computing, the company has become a driving engine of modern artificial intelligence, deep learning, and data center infrastructure.
- Industry
- Semiconductors
- Company size
- 42000+ employees
- Founded
- April 5, 1993
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Funding
Public Company · $5M raised
Leadership
Founder, President and Chief Executive Officer
Executive Vice President and Chief Financial Officer
Founder and NVIDIA Fellow
Executive Vice President, Worldwide Field Operations
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