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.
