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About the Role
You will work on the infrastructure that our services, our factory-floor software, and our ML training run on: AWS, Kubernetes, the network boundary between them, the deployment pipeline, GPU workload scheduling, and the monitoring that tells us when something is wrong. This is a unique position with huge scope, spanning traditional containerized software platforms, as well as robotics, networking and AI infrastructure. Unlike an internet company, you will work on capabilities that support real hardware, and unlike traditional robotics, this platform also orchestrates the manufacturing process and the continued operation of the robots themselves. It is a small team with a lot of surface area. Expect to move between infrastructure as code, cluster operations, GPU scheduling, and edge-device support in the same week.
Responsibilities
- Work on infrastructure including AWS, Kubernetes, network boundaries, deployment pipelines, GPU workload scheduling, and monitoring.
- Move between infrastructure as code, cluster operations, GPU scheduling, and edge-device support.
Requirements
- 3+ years running production infrastructure with hands-on Kubernetes.
- Fluent in Terraform and GitOps.
- Solid networking fundamentals: VPCs, routing, VPN, DNS, TLS, overlay networks, and the ability to debug a routing problem with a packet capture.
- Comfortable in Go or Python for tooling and glue, and able to read production service code well enough to debug it.
- Experience operating an observability stack and a track record of making alerts trustworthy.
- Security-minded by default: least-privilege access, no public endpoints, secrets from config, and the reflexes to catch a committed credential.
Skills
- Kubernetes
- Terraform
- GitOps
- Networking
- VPCs
- Routing
- VPN
- DNS
- TLS
- Overlay networks
- Packet capture
- Go
- Python
- Observability stack
- Security
- On-prem Kubernetes
- Edge/fleet experience
- Arm64 Linux devices
- Over-the-air rollout
- Offline-tolerant design
- WireGuard
- Robotics
- Industrial hardware
- ITAR
- CMMC
Location
- San Francisco
Work Type
- Full-time
Experience Level
- 3+ years
Salary/Compensations
- $150,000—$250,000 USD
Benefits
- Comprehensive health, dental and vision coverage
- Generous PTO
- Equity compensation
About the Company
- Foundry Robotics is building an AI-native robotics manufacturing company focused on deploying advanced assembly and production capability for leading robotics companies and national-security-critical hardware.
- Factory OS is building software that runs factories. Our platform spans cloud backends, on-prem services, and edge devices deployed on the factory floor.
- We are committed to being deeply embedded in the U.S. industrial base. Our focus is simple: build adaptive robotic assembly systems that make American manufacturing scalable, resilient, and competitive again.
- If you want to build the commercial engine that brings AI-driven manufacturing to every industrial and energy customer in America — this is it.