Software QA Test and Tools Developer – Automotive Platform

Job Title

Software QA Test and Tools Developer – Automotive Platform

Role Summary

Join NVIDIA's Software QA (SWQA) Automotive Platform team to validate safety-critical automotive software and build test tools and frameworks for systems running on Linux and QNX. This is a hands-on engineering role focused on test architecture, automation, and reliability for automotive platforms.

Experience Level

Mid-level. The role expects 5+ years of proven experience in automation engineering or software development.

Responsibilities

Key responsibilities include validation, automation, and development of tooling to ensure platform reliability and security.

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

Requirements

Concise list of required and preferred skills.

• Must-have: 5+ years experience in automation engineering or software development; strong Python or C++ skills with an emphasis on clean, testable systems-level code.
• Must-have: Solid foundation with QNX or Linux operating systems, including system concepts and boot sequences.
• Must-have: Professional experience in system software validation (bootloaders, BSP, ARM Trusted Firmware, Trusted OS, Secure Boot).
• Must-have: Experience building or operating distributed test automation frameworks and managing high-concurrency test farms; experience with CI/CD and log-based failure analysis.
• Nice-to-have: Familiarity with AI-native development tools (examples: Claude Code, Cursor, LLM APIs) and experience building evaluation frameworks for AI-generated outputs.
• Nice-to-have: Practical history of identifying firmware or secure-boot vulnerabilities and deploying LLM-based agents or prompt-engineering solutions in production CI/CD pipelines.

Education Requirements

Bachelor’s degree in Computer Science or in Electronics & Electrical Engineering (as stated in the posting).

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.