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NVIDIA

Designs the chips and software that power AI

SWQA Test Developer Engineer

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • A B.Tech. or equivalent degree in Computer Science, Computer Engineering, Information Technology, Electronics and Communication Engineering, or Electrical and Electronics Engineering is required.
  • 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 and experience building test frameworks, automation infrastructure, utilities, and validation tools from the ground up.
  • Hands-on experience using 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 and resource analysis, and command-line fixing.
  • Ability to implement end-to-end AI agentic testing workflows across all software development lifecycle 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 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.

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 end-to-end AI agentic workflow with existing and custom agents and skills for every software development lifecycle phase to expedite test and quality engineering objectives and metrics.
  • Develop an 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 system-level issues, drive defects to resolution, and communicate release readiness and quality metrics.

Desired Qualifications

  • Experience with Android streaming products, graphics rendering techniques, display parameters, graphics processing, shaders, clusters, streaming apps and games, and competitive and benchmarking analysis of different streaming devices.
  • Experience developing or validating AI agents, agentic AI workflows, multimodal AI, or physical AI applications, including tool calling, orchestration, perception, or spatial understanding.
  • A 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.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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