Senior Platform AI Engineer

About the role

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.

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 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.
• 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.

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 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.

Qualifications

• 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.

Benefits

Known throughout the technology industry as a highly attractive employer, NVIDIA delivers highly competitive salaries and a comprehensive benefits package. As you consider your future, explore what we can provide for you and your family at www.nvidiabenefits.com/. 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 - $287,500 for Level 4, and $224,000 - $356,500 for Level 5. You will also be eligible for equity and benefits.

Pay

The base salary range is $184,000 - $287,500 for Level 4, and $224,000 - $356,500 for Level 5.

Schedule

Applications for this job will be accepted at least until July 18, 2026.