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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 80183771
- Position Id: 18615b1a62e3fbddc7a6cc53dfa078d5
- Posted 3 days ago
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