NVIDIA is seeking a highly motivated Senior Infrastructure & Automation Engineer to join the Networking Business Unit. In this role, you will design, develop, and enhance automation tools and infrastructure that improve the efficiency and stability of NVIDIA’s Firmware development and verification processes. You will work closely with Firmware, Emulation, and Release teams to ensure smooth integration, reliable regression execution, and rapid issue identification — playing a key role in maintaining the quality and velocity of NVIDIA’s cutting-edge networking products.
What you’ll be doing:
Develop and maintain automation tools and infrastructure supporting Firmware verification, compilation, and emulation workflows.
Monitor and maintain the stability of the Firmware regression cycles; identify, analyze, and resolve infrastructure and automation issues.
Implement process improvements to accelerate development and increase verification efficiency.
Generate reports and insights on regression results and quality trends; identify degradations between Firmware versions.
Collaborate with Firmware and Release teams to ensure high-quality delivery and smooth handoffs between verification and release stages.
Take ownership of the regression automation environment, including CI flows, scripts, and integration with build and release systems.
What we need to see:
B.Sc. in Computer Engineering, Computer Science, or equivalent experience.
8+ years of experience in Automation, DevOps, or Firmware Infrastructure development.
Strong programming skills in Python (preferred) or C++, with a solid understanding of OOP principles.
Proven experience with build systems, emulation environments, or CI pipelines.
Ability to thrive in a dynamic, fast-paced environment while maintaining attention to detail and quality.
Strong analytical, communication, and problem-solving skills.
Fluent in English (Hebrew – advantage).
Ways to stand out from the crowd:
Hands-on experience with Git, Gerrit, Jenkins, Docker, and Blossom.
Familiarity with regression frameworks, testing flows, and CI/CD best practices; Proactive, creative, and highly collaborative mindset with strong ownership of infrastructure quality.
Demonstrated ability to lead technical initiatives, define infrastructure roadmaps, and drive cross-team improvements.
Experience planning and prioritizing infrastructure work in collaboration with development and verification teams.
Background in firmware or embedded systems verification.
Skills Required
- B.Sc. in Computer Engineering, Computer Science, or equivalent experience
- 8+ years of experience in Automation, DevOps, or Firmware Infrastructure development
- Strong programming skills in Python or C++
- Proven experience with build systems, emulation environments, or CI pipelines
- Fluent in English
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.”
