Infrastructure Engineer

Foundry Robotics; San Francisco (CA); On-site; USD 150,000 - 250,000; Full time

Benefits offered by this job

Equity

Health, dental, vision insurance

Generous PTO

Job summary

Foundry Robotics is building an AI-native robotics manufacturing platform focused on deploying advanced assembly and production capabilities for robotics companies. The role involves running production infrastructure on AWS, Kubernetes, and edge devices, with a unique blend of traditional software platforms, robotics, and AI infrastructure.

The position requires 3+ years of hands-on Kubernetes experience, Terraform/GitOps proficiency, strong networking, and comfort with Go or Python.

Qualifications

• 3+ years running production infrastructure with hands-on Kubernetes.
• Fluent in Terraform and GitOps. You have worked in infrastructure CI/CD where merge means apply and you know how to make that safe.
• 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.

Responsibilities

• You will manage the infrastructure that our services, factory-floor software, and 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.
• You will work across containerized software platforms, robotics, networking and AI infrastructure to support real hardware and orchestrate the manufacturing process and robot operation.
• You will move between infrastructure as code, cluster operations, GPU scheduling, and edge-device support in the same week.

Skills

Kubernetes

Terraform

GitOps

Networking

Go

Python

Observability

Security best practices

Tools

AWS

CI/CD tooling

Job description

About Us

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. Basically, we’re building robots that build robots.

Factory OS is building software that runs factories. Our platform spans cloud backends, on-prem services, and edge devices deployed on the factory floor. The operators, supervisors, and managers who use our tools need interfaces that are fast, reliable, and intuitive—even when network conditions aren’t perfect and the environment is demanding.

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.

What We're Looking For

• 3+ years running production infrastructure with hands-on Kubernetes.

• Fluent in Terraform and GitOps. You have worked in infrastructure CI/CD where merge means apply and you know how to make that safe.

• 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.

Strong plus

• Experience running Kubernetes on-prem.

• Edge or fleet experience: arm64 Linux devices, over-the-air rollout, offline-tolerant design.

• WireGuard-based overlay networks at organization scale.

• Time spent near robots or industrial hardware.

• Experience in an ITAR or CMMC environment.

Why Join Us?

This is one of the only places where world-class manufacturing operators, mechanical engineers, robotics researchers, and software engineers sit in the same room — building production systems together.

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 run a mature, well-defined commercial org, this may not be the role.

If you want to build the commercial engine that brings AI-driven manufacturing to every industrial and energy customer in America — this is it.

The base salary range for this full-time position in the location of San Francisco is:

$150,000—$250,000 USD

• Compensation packages at Foundry Robotics for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Foundry Robotics employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, and generous PTO.

Foundry Robotics is an equal opportunity employer. We evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.