Physical Intelligence

1 month ago

Deployments Software Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours 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: 4.1

Website LinkedIn

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Physical Intelligence

1 month ago

Deployments Software Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

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

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: 4.1

Website LinkedIn