About Mecka AI Mecka AI is building the data infrastructure layer for robotics and embodied AI. We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems. We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware. Our operators control robots across countries and oceans. You'll own the link between them: getting multiple camera streams to the operator and commands back to the robot with as little delay and jitter as physics allows, and building the interface operators use all day. Because every byte you stream is also training data, you'll own recording it on-site and getting it reliably off-site too. Build the real-time transport between robot sites and operator stations: low-latency video (multiple cameras, possibly depth), robot state, and control commands over the public internet. NAT traversal, congestion and packet loss, bandwidth adaptation, reconnection, and explicit signals to the operator and robot when quality degrades. Build operator-facing tooling: queueing operators to robots across sites, session handoff, and basic fleet visibility. Own on-site recording: capture synchronized streams and metadata into a well-defined episode format, buffer locally,



and upload reliably over constrained site networks. Set up the infrastructure for data storage and access of robot teleop episodes. 3+ years building production level real-time networked systems: video streaming, video conferencing, cloud gaming, remote desktop, live broadcast, or similar. ~ WebRTC, RTP/SRTP, QUIC/UDP-based protocols) and video encoding trade-offs. ~ Comfortable building a polished interface yourself, web or native, with good product instincts for people who use a tool eight hours a day. ~ Strong in at least one of TypeScript, Go, Rust, C++, or Python; Comfortable deploying and debugging software on remote Linux machines you can't physically touch. Experience with robotics, teleoperation, drones, or other remote-control systems. Hardware video encode/decode on edge devices; 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. We may use AI-assisted tools to help evaluate applications against the requirements of this role. These tools support our recruiting team in identifying qualified candidates but do not replace human judgment or limit which applications may be reviewed or considered. #

📌 Teleop Platform Engineer, Real-Time Systems (Toronto)
🏢 mecka
📍 Toronto