Senior Platform AI Engineer

Details

For over 25 years, NVIDIA has been revolutionizing computer graphics, PC gaming, and accelerated computing. Today NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.

NVIDIA's Silicon Co-Design Group (SCG) is seeking Senior AI Platform Engineers to set the technical direction and lead the end-to-end delivery of the efficiency platform that supports the intelligent automation ecosystem. This role sits at the intersection of ML infrastructure and large-scale systems.

Responsibilities

• Define the architectural direction, infrastructure investments, and roadmap priorities for the efficiency platform across silicon architecture, build, methodology, validation, and applied AI teams.
• Define platform contracts and onboard new agents and skills from domain teams across SCG building on the platform.
• Own end-to-end delivery of the platform — from design and implementation through sustained production operation — with accountability for security, reliability, performance, and evolution.
• Lead unified solutions including orchestration patterns, authentication and authorization, observability, and SLA enforcement.
• Drive platform-wide decisions with multi-functional impact; manage storage and caching strategies that scale across heterogeneous compute environments.
• Serve as the technical authority for infrastructure powered by AI across SCG: set engineering standards, resolve cross-team architectural challenges, and mentor senior engineers.

Requirements

• BS, MS, or PhD (or equivalent experience) in CS, EE, CE, or a related field, with 8+ years of hands-on experience designing and operating production-grade platform or backend infrastructure.
• 5+ years of direct ML infrastructure experience, including end-to-end ownership of a model serving platform or latency-sensitive backend service from initial architecture through sustained production operation.
• Demonstrated track record of setting technical direction at the department or company level: defining platform strategy, establishing architectural standards, and leading initiatives spanning multiple teams.
• Strong Python skills and proficiency in at least one compiled language (examples listed: C, C++, Go, Java, Rust).
• Hands-on experience with job queues + sandboxed execution (Kubernetes Jobs, Celery/Sidekiq/Temporal, container runtimes with resource isolation).
• Strong communication and leadership skills, with the ability to align senior team members and drive architectural decisions across organizations with contending priorities.

Ways to stand out

• Industry recognition in ML infrastructure or distributed systems (publications, conference talks, open-source contributions, or visible technical leadership).
• Experience driving platform architecture at company scale, including engineering standards or frameworks broadly adopted by other teams.
• Exposure to silicon design, methodology, validation or EDA toolchains, especially the cadence of chip development lifecycles.
• Experience building or operating AI platforms within a silicon development, validation or EDA environment, with an understanding of reliability and scale demands of chip design toolchains.
• Track record of mentoring senior engineers and growing technical talent.

Compensation & Benefits

• Base salary ranges (determined by location, experience, and internal pay bands):
  • Level 4: 184,000 USD - 287,500 USD
  • Level 5: 224,000 USD - 356,500 USD
• Eligible for equity and benefits. More benefits information: https://www.nvidiabenefits.com/

Other details

• Location: Santa Clara, CA, United States (posting includes #LI-Hybrid)
• Applications accepted at least until July 18, 2026.
• NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.