Software Engineer at Adamo — Venture-backed robotics infrastructure startup

Join a small, elite team building the data layer for robotics. You will develop low-latency video streaming and networking infrastructure that allows humans to remotely control humanoid robots and autonomous vehicles globally. By enabling sub-40ms latency, you provide the critical teleoperation backbone that generates high-quality training data for the future of autonomy.

• Build and optimize a custom low-latency video streaming protocol and distributed mesh network to support real-time teleoperation.
• Implement multi-path bonding across LTE, 5G, and Wi-Fi to ensure reliable data transmission for robotic fleets in the field.
• Develop a Kafka-like streaming library and custom renderers to capture and process high-fidelity training data for autonomous systems.

• Strong proficiency in Rust or a background in C/C++ with a deep desire to master low-level systems programming in Rust.
• Proven experience in low-latency video streaming, custom networking protocols, or real-time infrastructure like cloud gaming or ROS2.
• An independent builder who enjoys optimizing systems to the limit and shipping high-performance code that interacts with physical hardware.

• Work at the cutting edge of robotics and video engineering, building custom protocols from scratch rather than relying on off-the-shelf solutions like WebRTC.
• Join as an early employee at a fast-growing, venture-backed startup, working directly with the founders to set the technical direction for the entire platform.
• Solve high-stakes engineering challenges where every millisecond of latency reduction directly improves the safety and capability of real-world robotic systems.