Description
NVIDIA is 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.
Responsibilities:
- 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.
- 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.
- 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.
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 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.
- Experience using AI agents to assess streaming quality of service (QoS) and end-user experience.
- Ability to validate Android Streaming Devices for multimedia playback.
- Experience validating local and cloud gaming on Android Streaming Devices.
- Ability to manage work independently, demonstrate leadership, communicate clearly, and collaborate effectively.
Nice to Have:
- Experience with Android streaming products, graphics rendering techniques, display parameters, graphics processing, shaders, clusters, streaming apps/games.
- Experience working on the development or validation of AI agents, Agentic AI workflows, multimodal AI, or Physical AI applications.
- 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.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/India-Pune/SWQA-Test-Developer-Engineer_JR2028109