NVIDIA wants a highly qualified engineer for its Ethernet Switch Networking Development team based in Austin. You will work within a rapidly growing team to better serve customers and show results. This role blends leadership with hands-on technical involvement, emphasizing on Networking Switch SDK Verification. This person shall partner with Architecture, SDK & Firmware development, and Customer Facing teams. They will compose new test infrastructure and actively improve current systems to boost the quality of NVIDIA's Ethernet Software Stack.
The role is based in Austin office and requires two days in the office per week.
What You’ll Be Doing:
Lead all aspects of development and optimization of software, tools, and libraries, to maintain OS verification infrastructure.
Collaborate with hardware, firmware, DevOps, and software teams.
Develop new test suites for network protocols, pre and post silicon tests (bring up/simulation/ palladium).
Develop performance indicators, benchmarks to evaluate past and future software performance.
Build dashboards and reports including regression analysis and degradation detection.
Transform and improve existing automation workflows to rapidly deploy new software releases.
Drive the future evolution of CI/CD pipelines using AI agents and the latest toolsets/models.
Guide code reviews and architecture discussions and define standard methodologies for verification excellence.
Coordinate projects across verification teams worldwide.
Mentor and be a role-model for junior team members.
What We Need to See:
Bachelors degree or higher in Computer Science / Software / Electrical Engineering (or similar) or equivalent experience.
8+ years in developing software for Network validation and verification.
Expert level Python skills.
Experience with large-scale verification or automation frameworks.
Strong networking background (L2 / L3 / L4).
Proven Linux knowledge.
CI/CD & DevOps tools (Jenkins, Git, Gerrit, Docker).
Strong communication and leadership skills 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) while maintaining a cool and calm personality
Deep understanding of networking, data center topologies and embedded system architecture.
Previous experience validating vendor/merchant silicon.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- Bachelor's degree or higher in Computer Science, Software, Electrical Engineering or equivalent experience
- 8+ years developing software for network validation and verification
- Expert-level Python skills
- Experience with large-scale verification or automation frameworks
- Strong networking background (L2 / L3 / L4)
- Proven Linux knowledge
- Experience with CI/CD and DevOps tools (Jenkins, Git, Gerrit, Docker)
- Strong communication and leadership skills
- Background in scalable or distributed systems
- Experience with multi-node testing or performance validation
- Strong debugging skills, especially concurrency issues
- Deep understanding of networking, data center topologies, and embedded system architecture
- Previous experience validating vendor/merchant silicon
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.”
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