Mecka.Ai

Teleop Networking Engineer, Real-Time Systems & Latency

Toronto GTA, Remote. Posted 4 days ago

The role

You will build real-time transport between robot sites and operator stations. You will also design the operator interface and manage on-site data recording and storage infrastructure.

What you will do

  • Build real-time transport between robot sites and operator stations.
  • Own the end-to-end latency budget.
  • Make the link robust through NAT traversal, congestion management, and bandwidth adaptation.
  • Design and build the operator interface.
  • Build operator-facing tooling for queueing, session handoff, and fleet visibility.
  • Own on-site recording of synchronized streams and metadata.
  • Set up infrastructure for data storage and access of robot teleop episodes.

Required qualifications

  • 3+ years building production level real-time networked systems.
  • Hands-on experience with low-latency media transport and video encoding trade-offs.
  • Experience measuring and reducing latency in a production system.
  • Comfortable building a polished interface, web or native.
  • Strong in at least one of TypeScript, Go, Rust, C++, or Python.
  • Comfortable deploying and debugging software on remote Linux machines.

Nice to have

  • Experience with robotics, teleoperation, drones, or other remote-control systems.
  • Hardware video encode/decode on edge devices; multi-camera synchronization.
  • Built data pipelines that move large volumes of sensor or video data from the edge to cloud storage.
  • Experience with global network deployment: relays/TURN, choosing regions, measuring paths between countries.
  • Game development, VR/XR, or other latency-sensitive interaction design.

About the company

Mecka AI is building the data infrastructure layer for robotics and embodied AI. They design and operate global systems for data capture, data labeling, and hardware-enabled workflows.