Deployments Software Engineer
About the role
The Deployments team at Physical Intelligence is responsible for solving real-world problems with our models and robots. We tackle the full problem space: integrating with customer workflows, training models to solve their dexterous tasks, and ensuring the on-site reliability of the system.
Responsibilities
- Design remote teleoperation interfaces
- Develop comfortable and precise interfaces for controlling robots with many degrees of freedom
- Optimize for low-latency network performance
- Engineer teleoperation interfaces that can continue functioning even in weak internet areas
- Optimize system performance
- Profile and optimize across compute, I/O, memory, scheduling, networking, and storage to meet real-time constraints and increase throughput
- Develop and optimize real-time video streaming systems where frame timing and packet scheduling matter
- Build tooling for profiling, tracing, and debugging timing issues across distributed systems and hardware interfaces
- Collaborate with researchers, hardware engineers, and operations teams to integrate optimized pipelines into production workflows
Requirements
Strong programming skills in C++, Rust, or Python, with experience building and optimizing production software.
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 profiling tools (perf, tracing, eBPF, GPU profilers, network analyzers) and comfort diving into complex performance issues.
A mindset oriented around determinism, throughput, frame budgets, jitter minimization, and real-time correctness.
Ability to collaborate deeply with robot users, researchers, and platform engineers to build a precise and comfortable teleoperation interface.
Qualifications
If you have experience with robot teleoperation systems, VR/AR platforms, or low-latency 3D engines, that would be a bonus.
Camera system expertise (synchronization, capture pipelines, codecs, GPU offload).
Streaming/video conferencing stack experience (WebRTC, real-time transport optimizations).
Background in robotics or autonomous systems (implementation, not research).
Familiarity with distributed systems that process real-time data flows.
Skills
Strong programming skills in C++, Rust, or Python, with experience building and optimizing production software.
Experience with real-time or near-real-time systems, VR/AR, video pipelines, 3D engines, or streaming systems where latency budgets are strict.
Proficiency with profiling tools (perf, tracing, eBPF, GPU profilers, network analyzers).
Ability to optimize across the entire stack - drivers, networking, compute workloads, video frameworks, and distributed components.
Comfortable collaborating with robot users, researchers, and platform engineers to build precise and comfortable teleoperation interfaces.
Benefits
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Flexible working hours.
Competitive compensation package.
Health insurance coverage.
Professional development opportunities.