Mind Robotics builds intelligent, broadly capable robots for industrial deployment in high-impact environments. Backed by Accel, Kleiner Perkins and a16z.
About the role
At Mind Robotics, we're building generalized physical AI —robotic systems capable of dexterous, adaptive, and reasoning-intensive work in real-world industrial environments. Our robots rely on a sophisticated software platform that spans cloud infrastructure, robotics middleware, simulation, machine learning, and deployment to physical hardware. We're looking for a DevOps Engineer to build and operate the infrastructure that enables engineers to develop, test, deploy, and monitor robotic systems reliably at scale.
What they're looking for
- 4+ years of experience in DevOps, Platform Engineering, Site Reliability Engineering, or Infrastructure Engineering
- Strong experience administering Linux systems
- Experience with cloud platforms such as AWS, GCP, or Azure
- Experience with Kubernetes and Docker in production environments
- Strong Infrastructure as Code experience (Terraform preferred)
- Experience building CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, Buildkite, or similar platforms
More about this role
Mind Robotics is building Physical AI for real-world industrial deployment, starting with the factory floor. We believe the hardest problems in AI are solved when researchers and engineers are hands-on with the physical world every day - and we're looking for people who are passionate about robotics, value ownership, and are excited to tackle difficult problems. Join us if you want to move beyond digital intelligence and put intelligence into motion.
At Mind Robotics, we're building generalized physical AI —robotic systems capable of dexterous, adaptive, and reasoning-intensive work in real-world industrial environments.
Our robots rely on a sophisticated software platform that spans cloud infrastructure, robotics middleware, simulation, machine learning, and deployment to physical hardware. We're looking for a DevOps Engineer to build and operate the infrastructure that enables engineers to develop, test, deploy, and monitor robotic systems reliably at scale.
You'll work across software, ML, and robotics teams to automate infrastructure, streamline deployments, improve developer productivity, and ensure our robots can be continuously updated and monitored both in the lab and in...
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