We are seeking smart Software Quality Assurance engineers to work on next-generation Graphics, Compute and SOC products. Our charter is to make sure NVIDIA delivers quality software in all phases of chip and product development lifecycle. The best candidates will have strong foundations to keep check on software quality with emphasis on bug free releases, knowledge of graphics and compute concepts, very good understanding of current generation PC/hardware architecture. Excellent communication skills and a dedication to meticulous engineering practices are a requirement.
Note: This SWQA position is system software related, Selenium web related experience is not applicable for this position.
What you’ll be doing:
Engineer on this team is expected to - validate products through the use of systematic tests to develop, apply, and maintain quality standards. Develops, modifies, and executes test plans. Analyzes and write tests standards and procedures. Maintains documentation of test results to assist in debugging and modification of GPU, SOC and Compute profiles. Analyzes test results to ensure existing functionality and recommends corrective action. Consults with development engineers in resolutions of problems. Provides feedback in preparation of technical appraisals of programming languages, system, and compilation software. Ensures quality computer integration into the overall functions of scientific compilation, data acquisition, and processing.
What we need to see:
- BS degree in CS/EE with 3+ Years of Experience
- Able to build PCs/Systems: Assembly, Setup, installation etc.
- Strong experience in executing test plans, interpret and communicate results.
- Strong Experience in writing new tests/flows.
- Experience in developing strong QA processes.
- Experience in troubleshoot routine problems that may occur during test plans additions and executions.
- Good & Effective communication skills: Verbal and written to work with Global Teams.
- System SW QA experience will be preferred.
Ways to stand out from the crowd:
- Familiarity with Scripting language/s, AI based tools and automation will be added advantage.
Skills Required
- Bachelor’s degree in Computer Science or Electrical Engineering
- 3+ years of professional experience
- Ability to build, assemble, set up, and install PCs or systems
- Experience executing test plans and interpreting and communicating results
- Experience writing new tests and test flows
- Experience developing QA processes
- Experience troubleshooting routine problems during test plan additions and executions
- Effective verbal and written communication skills for working with global teams
- System software QA experience
- Familiarity with scripting languages
- Experience with AI-based tools and automation
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
