Overview
Join NVIDIA's Mobile QA Group as a SWQA Test Developer Engineer to validate Tegra-based products, including Nvidia Shield TV and Android streaming devices, and help deliver high-quality products built on NVIDIA Tegra systems on a chip (SoCs).
What you'll do
- 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.
- 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 you'll need
- 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.
- 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.
Nice to have
- Experience in software validation preferably with ARM SoC-based Linux or Android products and end-to-end validation of game console devices.
- 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.
Details
Read the full description and apply on the company’s own careers page.