- Robot type
- Autonomous Vehicle · Defense
- Location
- SeattleWashingtonUSA
- Job type
- Software
- Posted
- Mar 17, 2026
Full-time
Senior Software Engineer - Distributed Systems
Job description
Role Summary We are seeking a Senior Software Engineer - Distributed Systems to contribute to the efforts designing and implementing the data fabric that connects robots with each other and their operators. In this role, you will build the technical backbone of multi-robot interactions and human-machine teaming via command-and-control (C2) interfaces. Your goal is to ensure the reliable and secure storage and distribution of mission data and real-time telemetry, enabling collaborative robot behaviors and the coordination of mission-level off-robot mapping and planning.
Job responsibilities
- Design distributed data solutions that operate seamlessly across both traditional cloud-based server infrastructure and edge network topologies.
- Leverage autonomy to build systems that reliably bridge Denied, Degraded, Intermittent, and Limited (DDIL) networking scenarios.
- Collaborate with cross-functional robotics engineering teams on development of world models and distributed mapping solutions
- Champion the adoption of best practices while pragmatically weighing technical tradeoffs and velocity.
- Mentor and lead teammates in implementing designs according to operational requirements.
- Work with program and product managers to understand customer requirements and architect flexible solutions.
Job requirements
- Bachelor's degree in computer science, engineering, or related discipline and 5+ years relevant professional experience; OR 8+ years of relevant professional experience.
- Experience architecting and implementing scalable, distributed and loosely coupled microservices with Python, go, C++
- Proven experience architecting and implementing real-time, low-latency distributed communications for mesh topologies on unreliable networks.
- Experience with communications protocols (HTTP, Websocket, MQTT, and message brokers), with strong judgement on appropriate technology selection.
- Deep expertise in conflict resolution algorithms and distributed data consensus protocols
- Demonstrated ability to diagnose and resolve complex reliability and performance issues in distributed systems.
- Track record of successful deployments to both edge hardware and cloud platforms.
- Demonstrated leadership experience mentoring and guiding engineering teams.