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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Platform AI Engineer - **Company:** NVIDIA Ltd. - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $184,000.0 - $287,500.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, User Authentication, C++ (Programming Language), Software Debugging, Distributed Systems, Python (Programming Language), Caching, Backend, AI Platforms, Kubernetes, Machine Learning Operations, Celery, Golang - **Published:** July 15, 2026 - **Apply:** https://www.disabledperson.com/jobs/73668860-senior-platform-ai-engineer ## About the Role * 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. ## Description 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., 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! ## Related Videos - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [HTTP headers that make your website go faster](https://www.wearedevelopers.com/videos/1676-http-headers-that-make-your-website-go-faster) - [Celery on AWS ECS - the art of background tasks & continuous deployment](https://www.wearedevelopers.com/videos/561-celery-on-aws-ecs-the-art-of-background-tasks-continuous-deployment) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Event based cache invalidation in GraphQL](https://www.wearedevelopers.com/videos/433-event-based-cache-invalidation-in-graphql) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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