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 applied.co.
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
About the role
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.
In this role, you will
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 building the tooling that removes it
Debug and profile the awkward edge cases in distributed systems, and own production end-to-end: incident command, postmortems, and the follow-through that prevents recurrence
Mentor engineers and raise the technical bar through design reviews and thoughtful collaboration
You may be a good fit if you
Have 5+ years of experience building and operating large-scale infrastructure, platform, SRE, or DevOps systems
Have experience with container orchestration frameworks such as Kubernetes
Have deep experience with at least one major cloud provider (AWS, GCP, Azure or OCI)
Write production-quality code and are an expert in at least one of Go, Python, Rust, or C++, and comfortable picking up whatever the problem needs
Are fluent with Infrastructure as Code and GitOps workflows (Terraform, OpenTofu, Pulumi, Crossplane, or similar)
Communicate and collaborate well across teams: aligning on interfaces, navigating tradeoffs, and driving cross-team execution
Hold a BS in Computer Science or a related field
Strong candidates may also have
Experience with serverless or scale-to-zero container platforms such as Knative, Cloud Run, or KEDA-based systems for running multi-tenant application workloads
Depth in sandboxing and workload isolation: Linux namespaces, cgroups, seccomp, gVisor, Firecracker/Kata, or comparable multi-tenant isolation designs
Depth in cluster and cloud networking: CNI (e.g., Cilium), eBPF, NetworkPolicy, service mesh, cross-cloud private connectivity
Deep multi-cluster or multi-region Kubernetes experience running diverse workloads at scale, from large batch and data-processing jobs to GPU and agentic workloads, including scheduling and autoscaling systems such as Karpenter, Kueue, or Volcano
Platform security experience: admission control, least-privilege IAM, workload identity (OIDC/SPIFFE), image provenance and supply-chain hardening
Incident command experience for customer-facing production systems
Experience building enterprise AI infrastructure or delivering platform solutions to internal or enterprise customers
Contributions to open source infrastructure tooling
Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.
FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request.
If you require an accommodation please contact careers@applied.co. We will work with you!