$184,000 – $356,500
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
NVIDIA's Silicon Co-Design Group is hiring a senior engineer to architect and lead a platform for AI-driven efficiency across chip design and validation workflows. The role combines ML infrastructure expertise with large-scale systems thinking, requiring someone who can set technical direction, own end-to-end delivery, and mentor other senior engineers across multiple teams.
Our summary, not NVIDIA’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- BS, MS, or PhD in CS, EE, CE or related field
- 8+ years designing and operating production-grade platform or backend infrastructure
- 5+ years direct ML infrastructure experience with end-to-end ownership of model serving platform or latency-sensitive backend service
- Demonstrated track record setting technical direction at department or company level
- Strong Python skills and proficiency in at least one compiled language
- Hands-on experience with job queues and sandboxed execution
- Strong communication and leadership skills
Nice to have
- Industry recognition in ML infrastructure or distributed systems through publications, conference talks, open-source contributions, or visible technical leadership
- Experience driving platform architecture at company scale with broadly adopted engineering standards or frameworks
- Exposure to silicon design, methodology, validation or EDA toolchains
- Experience building or operating AI platforms in silicon development, validation or EDA environment
- Track record of mentoring senior engineers and growing technical talent