Senior Platform AI Engineer

Details

For over 25 years, NVIDIA has been revolutionizing computer graphics, PC gaming, and accelerated computing. Today, NVIDIA is using AI and accelerated computing to define the next era of computing.

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 supporting its intelligent automation ecosystem. The role focuses on building foundational platforms 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.
• Own end-to-end platform delivery, from design and implementation through sustained production operation, with accountability for security, reliability, performance, and evolution.
• Lead unified solutions involving orchestration patterns, authentication and authorization, observability, and SLA enforcement.
• Drive platform-wide decisions with multifunctional impact.
• Manage storage and caching strategies that scale across heterogeneous compute environments.
• Serve as the technical authority for AI-powered infrastructure across SCG by setting engineering standards, resolving cross-team architectural challenges, and mentoring senior engineers.

Requirements

• BS, MS, PhD, or equivalent experience in computer science, electrical engineering, computer engineering, or a related field.
• 8+ years of hands-on experience designing and operating production-grade platforms 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 experience 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 and sandboxed execution, including Kubernetes Jobs, Celery, Sidekiq, Temporal, or 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 competing priorities.

Preferred Qualifications

• Industry recognition in ML infrastructure or distributed systems through publications, conference talks, open-source contributions, or technical leadership visible beyond the 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 chip development lifecycles.
• Experience building or operating AI platforms within a silicon development, validation, or EDA environment.
• Experience mentoring senior engineers and developing technical talent.

The platform will support workflows involving NVIDIA silicon, including bring-up, characterization, debug, and production sign-off.

Compensation And Benefits

• Base salary range for Level 4: USD 184,000–287,500 per year.
• Base salary range for Level 5: USD 224,000–356,500 per year.
• Eligibility for equity and benefits.
• NVIDIA is an equal opportunity employer committed to an inclusive work environment.

Applications will be accepted at least until August 1, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.