Software Engineer: Telepresence & Networking Engineer

Field AI is transforming how robots interact with the real world. We are building risk‑aware, reliable, and field‑ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data‑driven approaches or pure transformer‑based architectures, and are charting a new course, with already‑globally‑deployed solutions delivering real‑world results and rapidly improving models through real‑field applications.

We’re looking for passionate individuals to shape the future of embodied AI in unstructured environments. As an Robotics Communication Systems Engineer, you will investigate and tackle real‑world robotics challenges, focusing around the problems of autonomous inspection, mobile manipulation, and human‑robot interaction. Your work will involve algorithm development, real‑world testing on robots, and knowledge dissemination and publication in top robotics and AI conferences.

• Two‑Way Audio & Video Streaming over Private 5G: Design and build a low‑latency, high‑reliability real‑time communication system to enable bidirectional audio and video streaming between robots and remote operators.
• Real‑Time Network Performance & Reliability: Continuously monitor and evaluate network performance (latency, jitter, packet loss, throughput) within private 5G environments. Implement adaptive streaming, congestion control, and failover mechanisms to maintain stable audio communication under variable signal conditions and mobility scenarios.
• QoS‑Driven Deployment on Robots: Develop, test, and validate communication software directly on robot hardware. Tune Quality of Service (QoS) parameters to prioritize control signals and real‑time audio streams, ensuring predictable performance across private 5G deployments.

• PhD or MS in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering or a related field.
• Strong experience in real‑time communication systems, particularly with TCP/UDP, RTP/RTCP, WebRTC, or similar media transport protocols.
• Hands‑on experience debugging and optimizing Linux‑based networking systems using tools such as tcpdump, iperf, ping, ss, iw, or related utilities.
• Familiarity with ROS/ROS2 and distributed robotic systems.
• Solid understanding of private 5G and wireless networking fundamentals, including 5G architecture (gNB, core, slicing), latency behavior, LTE/5G handovers, signal quality metrics, and bandwidth constraints.
• Experience developing and validating software on real hardware systems.
• Strong collaboration and communication skills across software, networking, and robotics teams.

• Hands‑on experience deploying systems over private 5G or cellular (LTE/5G) networks, including mobility optimization and performance tuning.
• Experience building or operating real‑time telepresence or teleoperation systems with live bidirectional video and audio.
• Deep knowledge of QoS mechanisms, including traffic prioritization, rate control, congestion control, adaptive bitrate streaming, and jitter buffering.
• Experience working with media frameworks such as GStreamer, WebRTC, or custom RTP pipelines.
• Experience designing systems that gracefully handle intermittent connectivity and network degradation.
• Ability to take full ownership of complex networking challenges—from architecture and implementation to field deployment and continuous optimization.

Our salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job‑related knowledge, skills, and experience. Also, while we enjoy being together on‑site, we are open to exploring a hybrid or remote option.

We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.

You will have the…