Senior Software Engineer - Cloud Infrastructure
Senior engineer who designs, builds, and operates Applied Intuition's multi-cluster, multi-cloud Kubernetes infrastructure and the multi-tenant platform behind its simulation and Dana enterprise AI workloads. Day to day: platform architecture, infrastructure as code, sandboxed workload execution, incident ownership, and developer tooling.
- Compensation
- $190K–$270K / yr
- Location
- Sunnyvale
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Contract
- Experience
- 5+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 5+ years of experience building and operating large-scale infrastructure, platform, SRE, or DevOps systems
- Experience with container orchestration frameworks such as Kubernetes
- Deep experience with at least one major cloud provider (AWS, GCP, Azure or OCI)
- Expert in at least one of Go, Python, Rust, or C++ with production-quality code
- Fluent with Infrastructure as Code and GitOps workflows (Terraform, OpenTofu, Pulumi, Crossplane, or similar)
- Strong cross-team communication and collaboration skills
- BS in Computer Science or a related field
Nice to have
- Experience with serverless or scale-to-zero container platforms (Knative, Cloud Run, KEDA)
- Depth in sandboxing and workload isolation: Linux namespaces, cgroups, seccomp, gVisor, Firecracker/Kata
- 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 with scheduling/autoscaling systems (Karpenter, Kueue, Volcano)
- Platform security experience: admission control, least-privilege IAM, workload identity (OIDC/SPIFFE), 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
Full description
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
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.