Deployments Software Engineer
Physical Intelligence · San Francisco
CHECKED 13H AGO
Roboticsonsite
At a glance
Highlights
- Build teleoperation interfaces for dexterous robots deployed on customer floors.
- Optimize real-time video streaming where frame timing and latency are critical.
- Solve real-world customer workflows with foundation models powering robots.
Ideal candidate
Systems-minded engineer obsessed with real-time performance, determinism, and reliability. Thrives collaborating with researchers and operators to make robots dependable in messy real-world deployments.
Requirements
- Strong programming skills in C++, Rust, or Python building and optimizing production software
- Background in real-time systems, VR/AR, video pipelines, 3D engines, or streaming systems
- Ability to optimize across drivers, networking, compute, video frameworks and distributed components
- Experience with profiling tools like perf, tracing, eBPF, GPU profilers and network analyzers
- Mindset oriented around determinism, throughput, frame budgets and jitter minimization
- Ability to collaborate with robot users, researchers and platform engineers
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