NVIDIA's Silicon Co-Design Group (SCG) is seeking Senior AI Platform Engineers. They will set the technical direction and lead the end-to-end delivery of the efficiency platform that supports our intelligent automation ecosystem.. If you are energized by building foundational platforms at the intersection of ML infrastructure and large-scale systems, this is your opportunity! What you'll be doing: • 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 the domain teams across SCG building on the platform. • Owning end-to-end delivery of the platform — from design and implementation through sustained production operation — with accountability for security, reliability, performance, and evolution. • Leading the unified solutions including orchestration patterns, authentication and authorization, observability, and SLA enforcement. Driving platform-wide decisions with multi-functional impact. Managing storage and caching strategies that scale across heterogeneous compute environments. • Serving as the technical authority for infrastructure powered by artificial intelligence across SCG: setting engineering standards, resolving cross-team architectural challenges, and mentoring senior engineers. What we need to see: • 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 such as C, C++, Go, Java, or 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 from the crowd: • Industry recognition in ML infrastructure or distributed systems — through publications, conference talks, open-source contributions, or technical leadership visible beyond your current organization. • 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 a firsthand understanding of the reliability and scale demands of chip design toolchains. • Track record of mentoring senior engineers and growing technical talent — shaping the capabilities of the team as much as the platform itself. The platform you architect will run every workflow involving NVIDIA silicon — from bring-up, characterization, and debug to production sign-off. If leading the foundation that the next generation of SCG engineers builds on is the problem you want to solve, we'd like to talk! #LI-Hybrid 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 for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and . Applications for this job will be accepted at least until August 1, 2026. This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes.