Gradientrobotics

Gradientrobotics

Software Engineer

San Francisco · Internship

Sponsorship not specifiedDetected 10 days ago
PythonC++Full-Stack DevelopmentCI/CDLinuxMachine LearningComputer VisionEmbedded SystemsControls

> stay_score

odds of building a lasting career here

16Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

No strong sponsorship signal in the public record yet. In the full product we resolve the exact legal entity and show its filing history with a confidence score — treat as unverified until then.

Lottery odds assume a STEM candidate.

Personalize to your clock →

> community_outcomes

No reports yet — be the first to help the next applicant.

About the role

  • We're looking for a Software Engineer to help move data from AI models to actuators.
  • You'll work close to the hardware, from kernel and firmware up through the controls and perception layers, contributing to 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 you'll help keep them there.

Responsibilities

  • Build pieces of the perception data path: move high-bandwidth camera streams into the CV and ML models with minimal latency and zero silent drops
  • 1+ years of software engineering experience building systems close to hardware (exceptional new grads with strong project or internship experience are welcome to apply)
  • Experience building things: production systems, internal tools, student teams, or personal projects that worked

Nice to have

  • Linux kernel or embedded systems experience
  • Experience with real-time control systems: motor control, high-rate control loops, or robot controllers
  • Tracing and profiling experience: ftrace, flamegraphs, eBPF

Skills

  • Debugged real timing, concurrency, or hardware issues, even in a project setting
  • Comfort with ambiguity and a strong learn-by-doing instinct
  • Able to work on-site in San Francisco 5 days/week (6 days/week if needed during crunch time), embedded in the team

Benefits

  • Contribute to the real-time control loop: help keep high-rate control running deterministically alongside vision inference
  • Bring visibility into the pipeline: build tooling and instrumentation that make real-time behavior across controls and vision observable and debuggable

Company info

  • 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.

This listing is sourced directly from Gradientrobotics's careers page and normalized into a canonical job model.