NVIDIA is looking for a strong verification for growing SDK Verification team. This role combines leadership with deep technical involvement, working closely with SDK design and architecture teams while building expertise in networking protocols and NVIDIA networking technologies.
As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
What You’ll Be Doing:
Promote quality, automation, and scalability
Oversee development and optimization of APIs, tools, and libraries, and Maintain OS verification infrastructure
Improve automation workflows for fast and reliable SDK releases and Drive evolution of CI/CD pipelines
Work closely with hardware, firmware, DevOps, and software teams
Align on verification methodologies and infrastructure improvements
Guide design reviews and architecture discussions and Define best practices for verification excellence
What We Need to See:
B.Sc. or higher in Computer Science / Software / Electrical Engineering (or similar)
3+ years in software development or verification
Strong Python coding skills
Experience with large-scale verification or automation frameworks
Strong networking background (L2 / L3)
Solid Linux knowledge
CI/CD & DevOps tools (Jenkins, Git, Gerrit, Docker)
Strong communication and organization and ability to align multiple teams and deliver results
Ways to Stand Out from the Crowd:
Background in scalable or distributed systems
Experience with multi-node testing or performance validation
Strong debugging skills (especially concurrency issues)
Deep understanding of networking and system architecture
Skills Required
- B.Sc. or higher in Computer Science, Software, Electrical Engineering or similar
- 3+ years in software development or verification
- Strong Python coding skills
- Experience with large-scale verification or automation frameworks
- Strong networking background (L2/L3)
- Solid Linux knowledge
- CI/CD and DevOps tools (Jenkins, Git, Gerrit, Docker)
- Strong communication and organizational skills; ability to align multiple teams and deliver results
- Background in scalable or distributed systems
- Experience with multi-node testing or performance validation
- Strong debugging skills, especially concurrency issues
- Deep understanding of networking and system architecture
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.”
