Deployments Software Engineer

Physical Intelligence
San Francisco
Workplace: OnsiteFull timeFunction: Software EngineeringSkills: ["C++","Rust","Python","Real-time","VR/AR","Video pipelines","WebRTC","Profiling","Teleoperation"]

Design and build a real-time robotics software stack for on-site deployment, integrating state-of-the-art models with robots, teleoperation interfaces, and latency-optimized pipelines. Work with researchers, platform engineers, and operators to ensure reliability, observability, and performance across distributed systems on customer sites.

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FursaFursa
Physical Intelligence
Physical Intelligence
2 months ago

Deployments Software Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 20 minutes agoStatus: Live

Job Summary

Design and build a real-time robotics software stack for on-site deployment, integrating state-of-the-art models with robots, teleoperation interfaces, and latency-optimized pipelines. Work with researchers, platform engineers, and operators to ensure reliability, observability, and performance across distributed systems on customer sites.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Design remote teleoperation interfaces for controlling robots with many degrees of freedom.
  • •Optimize for low-latency network performance to function in weak internet areas.
  • •Optimize system performance by profiling and tuning compute, I/O, memory, scheduling, networking, and storage for real-time constraints.
  • •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.

Key Requirements

  • •Strong programming skills in C++, Rust, or Python with production software experience
  • •Background in real-time or near-real-time systems, VR/AR, video pipelines, or streaming systems with strict latency budgets
  • •Ability to optimize across the entire stack—drivers, networking, compute workloads, video frameworks, and distributed components
  • •Experience with profiling tools (perf, tracing, eBPF, GPU profilers, network analyzers) and debugging performance issues
  • •Collaborative mindset to work with robot users, researchers, and platform engineers to build precise teleoperation interfaces
Experience:RoboticsReal-time systemsAI
Skills:C++RustPythonReal-timeVR/ARVideo pipelinesWebRTCProfilingTeleoperation
Languages:English
Tech Stack:C++RustPythonReal-timeVR/ARWebRTCPerfEBPFGPU profilersNetworkingTeleoperation

Company Brief

Physical Intelligence
Develops large-scale AI models and learning algorithms to enable general-purpose intelligence for robots and physically-actuated devices, aiming to power a wide range of real-world robotic tasks and applications.
Industry: Robotics
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series B
Headquarters: San Francisco, United States
Founded: 2024
Glassdoor
Glassdoor: 4.1
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