Gradient Robotics is building autonomous robots for AI infrastructure buildout. Backed by South Park Commons.
About the role
We're looking for a Founding Software Engineer to own how Gradient Robotics moves data from AI models to actuators. You'll work close to the hardware, from kernel and firmware up through the controls and perception layers, owning real-time pipelines that move hundreds of megabytes at single-digit millisecond latency. Vision inference, control loops, and actuation all live on the same clock, and it's your job to keep them there.
What they're looking for
- 5+ years of software engineering experience building production systems close to hardware (drivers, kernels, embedded, robotics, or similar)
- Software: Rust, Python, C++, operating systems, and multithreading
- Infrastructure: Bazel, Nix, HIL testing, and CI/CD
- Firmware and platform: Linux kernel hacking and embedded systems
- Debugged timing and concurrency issues in the wild
- Owned messy, ambiguous problems and turned them into robust software
More about this role
The datacenter buildout is the largest industrial project in human history. Gradient builds the autonomous robots that make it possible.
Partnered with the world's largest AI infrastructure companies and backed by the industry's best investors, we move fast and build full-stack systems that matter.
We're looking for a Founding Software Engineer to own how Gradient Robotics moves data from AI models to actuators. You'll work close to the hardware, from kernel and firmware up through the controls and perception layers, owning real-time pipelines that move hundreds of megabytes at single-digit millisecond latency. Vision inference, control loops, and actuation all live on the same clock, and it's your job to keep them there. The goal: bring visibility and determinism into the end-to-end inference pipeline so the ML model is the only stochastic component.
Ship performance-critical code to real robots daily
Own the full data flow: camera frames in, perception and planning in the middle, control commands and actuator feedback out, and every system that carries them
Own the real-time control loop: keep high-rate control running deterministically alongside vision inference, and make sure...
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