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. Deploying robots in real factories, reliably and safely, depends on the infrastructure that ships software to them, validates it before it goes live, and tells us when something's wrong once it's out there.
What they're looking for
- Strong software engineering in Python and/or Rust/C++, with experience building tooling and services
- Experience with fleet/device management systems: OTA update mechanisms, versioning schemes, staged rollout and rollback design, and remote configuration management across many physical devices
- Hands-on experience with integration and systems testing for hardware-attached software — hardware-in-the-loop testing, simulation-based regression suites (Isaac Sim, Gazebo, MuJoCo, or similar), and CI/CD pipelines that gate on more than unit tests
- Observability engineering for edge/field deployments: telemetry pipelines, structured logging, and alerting
- Containerization and edge orchestration (Docker, and edge-appropriate orchestration/agent frameworks) for packaging and deploying software onto heterogeneous robot compute
- Track record of taking deployment/testing systems from ad hoc to reliable, repeatable process as the number of deployed units and sites grows
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. Deploying robots in real factories, reliably and safely, depends on the infrastructure that ships software to them, validates it before it goes live, and tells us when something's wrong once it's out there.
We're looking for a Tech Lead to own fleet deployment, testing infrastructure, and observability for our field-deployed robots. This is an IC-heavy role: you're building and hardening these systems yourself, not just defining processes for others.
This is a role for someone who wants to own the hardest problems in getting robotics software safely and reliably...
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