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 re
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Role overview
Job description
NVIDIA has advanced computer graphics, PC gaming, and accelerated computing for more than 25 years. We are developing the next era of computing through AI, supported by dedicated people and a diverse, collaborative environment.
We are seeking a SWQA Test Developer Engineer to join the Mobile QA Group and help deliver high-quality products built on NVIDIA Tegra systems on a chip (SoCs). You will be validating Nvidia Shield TV supporting AI-enhanced upscaling, 4K HDR, GeForce NOW cloud gaming, built in Google Assistant, which also supports Dolby Vision, Dolby Atmos, etc. You will work on AI platforms running Linux, Android, and proprietary operating systems, collaborating with engineers, workstream leads, and release managers.
What you will be doing:
- Apply AI-powered tools and agents throughout the test development lifecycle to accelerate test generation, code development, test analysis, coverage improvement, log analysis, regression triage, root-cause analysis, and code reviews.
- Build and use an E2E AI Agentic Workflow with existing and custom agents and skills for every SDLC phase. This will expedite key objectives and important metrics of test and quality engineering.
- Develop AI framework for test strategies, plans, and detailed test cases from customer requirements; regularly implement tests for software features on Tegra-based platforms using AI-powered tools.
- Review product requirements, specifications, and technical designs, and provide feedback to improve testability and coverage.
- Develop applications, test tools, and automated tests using NVIDIA test frameworks for Tegra platforms.
- File clear bug reports, investigate failures, and work with engineers to triage issues and verify fixes.
- Collaborate with project management, hardware, and software teams; analyze priority bugs and share periodic quality metrics and reports with collaborators. Improve testing processes and product quality.
- Partner with development, architecture, product, and release teams to identify quality risks, analyze sophisticated system-level issues, drive defects to resolution, and communicate release readiness and quality metrics.
What we need to see:
- B.Tech. or equivalent degree in Computer Science, Computer Engineering, Information Technology, Electronics and Communication Engineering, or Electrical and Electronics Engineering.
- 3-5 years of professional experience in software validation, preferably with ARM SoC-based Linux or Android products and end-to-end validation of game console devices.
- Strong Python programming skills with experience building test frameworks, automation infrastructure, utilities, and validation tools from the ground up.
- Hands-on experience bringing to bear AI-assisted development tools and AI-powered workflows for test development, code generation, test analysis, debugging, coverage improvement, or test development workflow optimization.
- Strong proficiency in Linux, including shell scripting, system-level debugging, process/resource analysis, and command-line fixing.
- Ability to implement end-to-end AI agentic testing workflows across all software development lifecycle (SDLC) phases, from requirements analysis and test planning through development, integration, release validation, and post-release monitoring.
- Experience using AI agents to assess streaming quality of service (QoS) and end-user experience, including playback startup time, buffering, latency, audio-video synchronization, visual quality, and playback stability; automate visual validation to minimize manual checks and surface issues for review.
- Ability to validate Android Streaming Devices for multimedia playback, including 4K HDR video, hardware decoding, audio passthrough, format switching, and audio-video synchronization across supported display and audio configurations.
- Experience validating local and cloud gaming on Android Streaming Devices, including controller compatibility, input latency, frame pacing, network sensitivity, and stability during extended gaming sessions.
- Ability to manage work independently, demonstrate leadership, communicate clearly, and collaborate effectively, with a passion for emerging technologies.
Ways to stand out from the crowd:
- Experience with Android streaming products, graphics rendering techniques, display parameters, graphics processing, shaders, clusters, streaming apps/games, competitive analysis & benchmarking analysis of different streaming devices.
- Experience working on the development or validation of AI agents, Agentic AI workflows, multimodal AI, or Physical AI applications, including tool calling, orchestration, perception, or spatial understanding.
- Proven track record of applying AI tools or AI-powered test development agents to measurably improve test automation efficiency, coverage, quality, debugging, and regression efficiency.
What they are looking for
Skills & requirements
Qualification
What we need to see: B.Tech; or equivalent degree in Computer Science, Computer Engineering, Information Technology, Electronics and Communication Engineering, or Electrical and Electronics Engineering
Hiring company
NVIDIA
We create the world’s fastest supercomputer and largest gaming platform.
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