Robotics Software Engineer
Physical Intelligence · San Francisco
CHECKED 15H AGO
Roboticsonsite
At a glance
Highlights
- Build low-latency runtime powering general-purpose robots in the real world.
- Own real-time sensor, video, and actuator pipelines end-to-end.
- Make foundation models run flawlessly under strict latency budgets.
Ideal candidate
Systems-obsessed engineer who loves squeezing determinism and speed from complex hardware. Thrives debugging real-world timing issues and collaborating with researchers to ship reliable robots.
Requirements
- Strong programming skills in C++, Rust, or Python building production software
- Experience with Linux systems programming including scheduling and memory/IO subsystems
- Background in real-time or near-real-time systems with strict latency budgets
- Ability to optimize across full stack from kernel to networking to distributed components
- Experience with profiling tools like perf, tracing, eBPF and GPU profilers
- Mindset oriented around determinism, throughput and real-time correctness
- Ability to collaborate with researchers and platform engineers on system performance
Lab profile
About Physical Intelligence
Developing general-purpose AI foundation models to power robots for any physical task.
What they build
- General-purpose robot foundation models
- Learning algorithms for robot control
- Robotic systems and platforms
Known for
- Foundation model and system-building research
- Large-scale multimodal robot data operations
- Real-world fleet deployment and operations
- Prototype-to-production hardware engineering