Senior Platform AI Engineer - Silicon Co-Design Group

Job Title

Senior Platform AI Engineer - Silicon Co-Design Group

Role Summary

Join NVIDIA's Silicon Co-Design Group to define and own the AI-driven efficiency platform used across silicon design and validation workflows. This role leads platform strategy, architecture, and end-to-end delivery for production AI infrastructure supporting multiple engineering teams.

Responsible for ensuring the platform's reliability, scalability, security, and alignment with cross-functional requirements.

Experience Level

Senior — typically 12+ years of relevant experience; expects leadership at department or company level.

Responsibilities

Lead and deliver the AI-driven efficiency platform used across SCG; set architecture and align stakeholders.

• Define technical strategy and roadmap, prioritize investments to meet cross-functional use cases.
• Partner with domain teams to define platform contracts and onboard agents and skills.
• Own full lifecycle: design, implementation, and sustained production operation, accountable for security, reliability, and performance.
• Drive platform-wide decisions: orchestration patterns, authentication and authorization, observability and SLA enforcement, storage and caching strategies across heterogeneous compute.
• Serve as technical authority: set engineering standards, resolve architectural conflicts, and mentor senior engineers.
• Evaluate emerging technologies and identify opportunities to advance AI-driven infrastructure tooling.

Requirements

Must-have skills and experience for successful candidates.

• 12+ years hands-on experience designing and operating production-grade platform or backend infrastructure.
• 5+ years direct ML infrastructure experience, including end-to-end ownership of model serving platforms or latency-sensitive backend services.
• Proven track record of setting technical direction across multiple teams and establishing architectural standards.
• Strong Python skills and proficiency in at least one compiled language (C, C++, Go, Java, or Rust).
• Hands-on experience with job queues and sandboxed execution (Kubernetes Jobs, Celery/Sidekiq/Temporal) and container runtimes with resource isolation.
• Experience owning high-stakes systems with structured observability, graceful degradation, clearly defined SLOs, and operational discipline.
• Strong communication and leadership to align senior stakeholders and drive architectural decisions across organizations.

Nice-to-have:

• Industry recognition in ML infrastructure or distributed systems (publications, talks, open-source contributions).
• Experience driving platform architecture at company scale and establishing widely adopted standards or frameworks.
• Exposure to silicon design, methodology, validation, or EDA toolchains and chip development lifecycle.
• Experience building or operating AI platforms within silicon development, validation, or EDA environments.
• Proven mentoring and talent development of senior engineers.

Education Requirements

BS, MS, or PhD (or equivalent practical experience) in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.