Senior Cloud Platform Engineer — Multi-Cluster Kubernetes

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy.

Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.;
San Diego;
Ft. Walton Beach, Florida;
Ann Arbor, Michigan;
London;
Stuttgart;
Munich;
Stockholm;
Bangalore;
Seoul; and Tokyo. Learn more at

We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

This in-office expectation does not apply to contractor positions

Everything Applied ships runs on infrastructure we build. From the daily, large-scale simulations that test autonomous systems to the enterprise AI workloads behind Dana, our cloud infrastructure team builds and maintains the platform that product engineering uses to ship, operate, and scale their applications. We are cloud-native and cloud-agnostic across all cloud providers. We run on Kubernetes, manage everything as infrastructure as code, and own the full stack, including compute, networking, file system, blob storage, resource scaling, observability, security, and CI/CD.

Most platform teams own a slice of that. We own the whole thing.

We also build the core infrastructure platform that powers Dana, Applied's AI platform for enterprises in physical industries, bringing apps, agents, and data together on one governed platform. You'll help build Dana's core infrastructure and everything customers touch to build, deploy, share, and govern apps. Dana is multi-tenant and serves critical enterprise workloads, so scale and reliability tradeoffs are part of the job.

The compute and data generation scale of our workloads, from large-scale simulation to agentic execution, pushes the boundaries of standard cluster deployments, and you'll be at the forefront of building out this system and ensuring its reliability.

Owning the whole stack makes this as much a platform-building and solutions-architecture role as a hands-on infrastructure role. You'll work embedded with engineers across the entire org and support a variety of customer deployments, and you'll be trusted to make architectural calls, own incidents end-to-end, and drive infrastructure decisions rather than just execute tickets.

• Design, build, and operate our multi-cluster Kubernetes infrastructure (compute, networking, storage, autoscaling, observability, and security) with high reliability across all cloud providers

• Build multi-tenant platform primitives: tenant-safe storage, shared secrets, RBAC, and workload identity

• Design and orchestrate secure, sandboxed execution environments for agentic and untrusted workloads

• Act as a solutions architect for internal platform customers, turning their scaling and reliability needs into concrete infrastructure designs and driving them to production

• Improve developer effectiveness by spotting the friction nobody else has bothered to fix and…