Teleop Platform Engineer, Real-Time Systems & UI (Robotics)

Location: Hybrid in Toronto GTA or New York

Salary: $200K–$240K plus equity

Company

hirify.global builds data infrastructure for robotics and embodied AI, including global systems for data capture, labeling, and hardware-enabled workflows used to train and validate humanoid and embodied AI systems.

What you will do

• Build low-latency transport for multi-camera video, robot state, and control commands between robot sites and operator stations.
• Measure and optimize glass-to-glass and command-to-motion latency across encoding, transport, routing, jitter buffering, and relay placement.
• Improve reliability through NAT traversal, congestion and packet-loss handling, bandwidth adaptation, reconnection, and quality signaling.
• Design operator interfaces for camera layouts, robot health, task instructions, connection status, and episode workflows.
• Build operator tooling for queueing, session handoff, and fleet visibility across sites.
• Capture synchronized streams and metadata on-site, buffer and upload episodes reliably, and establish storage and access infrastructure.

Requirements

• 3+ years building production-level real-time networked systems such as video streaming, video conferencing, cloud gaming, remote desktop, or live broadcast.
• Hands-on experience with low-latency media transport such as WebRTC, RTP/SRTP, or QUIC/UDP-based protocols, including video encoding trade-offs.
• Experience measuring and reducing latency in a production system and explaining the sources of delay.
• Ability to build polished web or native interfaces with strong product instincts for people using the tool throughout the workday.
• Strong proficiency in at least one of TypeScript, Go, Rust, C++, or Python, with comfort across client, server, and edge devices.
• Experience deploying and debugging software on remote Linux machines without physical access.

Nice to have

• Experience with robotics, teleoperation, drones, or other remote-control systems.
• Experience with hardware video encoding or decoding on edge devices and multi-camera synchronization.
• Experience building pipelines that move large volumes of sensor or video data from edge sites to cloud storage.
• Experience with global network deployment, including relays, TURN, region selection, and cross-country path measurement.
• Game development, VR/XR, or other latency-sensitive interaction design experience.

Culture & Benefits

• Full-time hybrid work in Toronto GTA or New York.
• Salary of $200K–$240K plus equity.
• Inclusive work environment with equal-opportunity hiring and recruitment accommodations available.
• AI-assisted application evaluation may support recruiting, but human judgment remains part of the review process.