NVIDIA is looking for a passionate and experienced software developer to join our Chip Design Technologies group, helping to build the software infrastructure and tools that shape the future of Chip Design and Verification. This role works at the intersection of infrastructure engineering, tooling, and database ownership. You’ll be responsible for the backbone systems that enable the development of NVIDIA’s industry-leading networking chips – the highway for the AI revolution.
We're looking for a senior hands-on engineer who combines deep expertise in Python automation and CI/CD data flows with a passion for large-scale compute environments. If you’re excited about optimizing critical systems, owning the health of compute farms, and driving reliability across cross-functional teams, you’ll feel right at home here.
What you’ll be doing:
Partner with Chip Design teams to solve engineering bottlenecks: Collaborate closely with Design, Verification, and Methodology teams to identify workflow pain points and deliver infrastructure solutions that directly improve chip design productivity and quality.
Build automation infrastructure: Design, build, and maintain robust Python-based automation infrastructure that orchestrates chip design flows, monitoring, and infrastructure tooling.
Drive the compute infrastructure scalability, integrity and performance
Own the platform health: Take ownership of the day-to-day health, capacity, and reliability of our compute farm and storage systems. This includes leading incident response, triage, and implementing long-term fixes to ensure high availability.
What we need to see:
B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related field.
5+ years of experience in Python infrastructure engineering, specifically focused on automation or tooling for Linux-based compute and storage systems.
Strong DevOps/automation development expertise
Solid Linux systems fundamentals (processes, networking, filesystems), with a comfort level managing NFS, permissions, and quotas.
Proven incident response capabilities and a track record of owning critical systems with high availability requirements.
Ways to stand out from the crowd:
Familiarity with hardware verification workflows and the specific compute/storage demands of the semiconductor industry.
Hands-on experience with large-scale infrastructure and databases (metrics, logs, tracing) and alert tuning.
Exposure to building and maintaining REST services for internal tooling, service accounts, and secrets management.
Proven ability to identify efficiency gaps in infrastructure workflows and deliver impactful automation improvements.
NVIDIA has some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Come join our team and help us build the future HPC and data centers.
Skills Required
- B.Sc. or M.Sc. in Computer Science, Computer Engineering, or related field.
- 5+ years of experience in Python infrastructure engineering focused on automation or tooling for Linux-based compute and storage systems.
- Strong DevOps/automation development expertise.
- Solid Linux systems fundamentals (processes, networking, filesystems) and experience managing NFS, permissions, and quotas.
- Proven incident response capabilities and experience owning critical high-availability systems.
- Familiarity with hardware verification workflows and semiconductor compute/storage demands.
- Hands-on experience with large-scale infrastructure and databases (metrics, logs, tracing) and alert tuning.
- Exposure to building and maintaining REST services, service accounts, and secrets management.
- Proven ability to identify efficiency gaps in infrastructure workflows and deliver automation improvements.
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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