Senior Systems & Robotics Engineer (Teleoperation)

Our Teleoperation Team bridges the gap between human intelligence and machine body — and the quality of that bridge is determined by data: how fast it moves, how reliably it arrives, and how accurately it represents what the robot is actually experiencing.

As our Real-Time Systems & Robotics Integration Engineer, you own the machine side. You'll build the data transport infrastructure, hardware integration layers, and fleet monitoring systems that make real-time human-robot operation possible over imperfect, real-world networks. Latency isn't just a number to you — you understand that every added millisecond costs operator trust.

What You’ll Build

• Low-latency, fault-tolerant data streaming pipelines over unreliable real-world transports — WiFi, cellular, and everything messy in between

• Software that interfaces directly with hardware SDKs for robot sensing and control

• Real-time pipelines integrating motion capture and hardware prototypes for human demonstration and training data capture

• Monitoring, metrics, and alerting infrastructure that scales with a growing robot fleet

• Web APIs and backend services for data collection, remote operation, and operational analytics

• Embedded Linux software at the firmware boundary — going as deep into the stack as the latency problem requires

What We’re Looking For

• 5+ years in software engineering with a strong focus on systems, embedded, or robotics work

• Strong Rust / C++ and solid Python for tooling, harnesses, and performance-critical systems code

• Deep Linux experience, including embedded and firmware-level environments

• Good networking fundamentals: TCP/IP, WiFi, cellular, BLE — and the debugging instincts to go with them

• Familiarity with robotic control concepts: kinematics, 3D geometry, sensor integration

• Solid open source chops: navigating complex dependencies, modifying codebases, contributing upstream

• Bachelor's degree in Computer Science, Robotics, Electrical Engineering, or a related field

• Strong ownership and communication skills; comfortable working at the hardware/software boundary

Bonus Points

• Prior experience with Zenoh or comparable robotics middleware

• Experience building telemetry or observability systems for physical hardware fleets

• Familiarity with modern build systems like Nix or Bazel

• Prior open source contributions, especially in systems or robotics tooling

• Experience with motion capture systems or wearable sensor integration

Why This Role

The hardest part of human-robot teleoperation isn't the robot or the interface — it's the invisible infrastructure that connects them. You'll own that layer end-to-end, with full access to the hardware stack and a tight partnership with the rendering engineer on the other side of the seam. The problems here are novel, the constraints are real, and the impact is direct.