This role sits at the intersection of networking, distributed systems, and autonomy infrastructure, and is critical to our ability to deploy robust autonomous systems in real-world operations.

Key responsibilities include:

• Leading the development of the EdgeOS Communication stack used in deployed systems.
• Owning the architecture, implementation, and integration of high-performance C++ networking components.
• Developing and optimizing transport- and application-layer networking features for reliable, low-latency communication.
• Collaborating closely with autonomy, systems, and simulation teams.
• Supporting development of network simulation capabilities used for testing and validation in simulated environments.

Required qualifications include:

• A Bachelor's degree in Computer Science, Electrical Engineering, or a related field.
• At least 10 years of related experience with a Bachelor's degree; or 7 years and a Master's degree; or 5 years with a PhD; or equivalent work experience.
• Proficiency with C++ 11 or newer in a production environment.
• Understanding of networking fundamentals across IP, TCP/UDP, routing, QoS, and hands-on experience with network debugging and analysis tools.
• Experience developing and debugging distributed or networked systems.
• A proven track record of leading and delivering complex technical projects with minimal oversight.

Preferred qualifications include:

• Experience with C++17 or newer standards.
• Knowledge of CMake and Conan build systems.
• Background in distributed systems, simulation, or autonomous robotics environments.
• Experience with network emulation or simulation tools.
• Familiarity with RF communication systems or wireless networking concepts.

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