Nvidia

SWQA Test Developer Engineer

Nvidia
Apply
3 days ago
Pune, IndiaMid Level / Senior

Responsibilities

  • Develop AI-assisted test strategies, plans, test cases, automation, and end-to-end agentic workflows across software development lifecycle phases.
  • Build applications, test tools, automated tests, validation utilities, and test frameworks for NVIDIA Tegra platforms.
  • Validate Android streaming devices, including 4K HDR video, hardware decoding, audio passthrough, format switching, and audio-video synchronization.
  • Assess streaming quality and end-user experience, including startup time, buffering, latency, visual quality, playback stability, and audio-video synchronization.
  • Validate local and cloud gaming, including controller compatibility, input latency, frame pacing, network sensitivity, and extended-session stability.
  • Review requirements and technical designs, improve testability and coverage, investigate failures, file bug reports, triage defects, and verify fixes.
  • Analyze system-level quality risks, communicate quality metrics and release readiness, and collaborate with hardware, software, architecture, product, project management, and release teams.

Requirements

  • 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 game console validation.
  • Strong Python programming skills and experience building test frameworks, automation infrastructure, utilities, and validation tools.
  • Hands-on experience with AI-assisted development tools and AI-powered workflows for test development, code generation, test analysis, debugging, coverage improvement, or workflow optimization.
  • Strong Linux proficiency, including shell scripting, system-level debugging, process and resource analysis, and command-line troubleshooting.
  • Experience implementing end-to-end AI agentic testing workflows across software development lifecycle phases.
  • Experience using AI agents to assess streaming quality of service and automate visual validation.
  • Experience validating Android streaming devices, multimedia playback, gaming, display configurations, and audio-video synchronization.
  • Ability to work independently, demonstrate leadership, communicate clearly, collaborate effectively, and engage with emerging technologies.
  • Preferred experience includes Android streaming products, graphics rendering, display parameters, graphics processing, shaders, streaming apps or games, benchmarking, multimodal AI, Physical AI, tool calling, orchestration, perception, spatial understanding, and measurable AI-powered test automation improvements.

Tech Stack

Categories

Nvidia

About Nvidia

10,000+ employees

Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.

Contact me