Robotics Software Engineer
Confirmed on the employer's own hiring board on Oct 7, 2026. First seen by Alion on Aug 29, 2026.
Join Physical Intelligence, a cutting-edge company focused on bringing general-purpose AI into the physical world. As a Robotics Software Engineer, you will be responsible for engineering low-latency, high-reliability sensor and actuator pipelines, optimizing system performance, building OS-level capabilities, and developing real-time video streaming systems. You will collaborate closely with researchers, platform engineers, and robotics operators to identify bottlenecks and extract maximum performance from the entire system.
Missions
- Engineer low-latency, high-reliability sensor and actuator pipelines across Linux, drivers, and middleware.
- Profile and optimize across compute, I/O, memory, scheduling, networking, and storage to meet real-time constraints and increase throughput.
- Extend or modify Linux components, drivers, and scheduling to achieve deterministic behavior under load.
Profil recherché
- Ability to collaborate deeply with researchers and platform engineers to translate high-level model requirements into real-world system performance- Experience with profiling tools (perf, tracing, eBPF, GPU profilers, network analyzers) and comfort diving into complex performance issues
- Ability to optimize across the entire stack - kernel scheduling, drivers, networking, GPU/CPU workloads, video frameworks, and distributed components
- Experience with Linux systems programming (syscalls, drivers, kernel parameters, scheduling, memory/IO subsystems)
- Strong programming skills in C++, Rust, or Python, with experience building and optimizing production software
- A mindset oriented around determinism, throughput, frame budgets, jitter minimization, and real-time correctness
- Background in real-time or near-real-time systems, VR/AR, video pipelines, 3D engines, or streaming systems where latency budgets are strict
- Experience with VR/AR platforms or low-latency 3D engines
- Camera system expertise (synchronization, capture pipelines, codecs, GPU offload)
- Streaming/video conferencing stack experience (WebRTC, real-time transport optimizations)
- Background in robotics, autonomous systems, SLAM pipelines, or perception systems (implementation, not research)
- Familiarity with distributed systems that process real-time data flows
- Expertise in kernel-level engineering, device drivers, or high-performance networking