Engineering Roles

You’ll work on the hardest problems in autonomy: how multiple platforms with limited communications, uncertain sensing, and an adaptive threat environment coordinate intent, allocate work, and replan under adversarial conditions. The math is hard. The operational constraints are real. You’ll develop algorithms for resource allocation, distributed decision-making, and dynamic replanning that account for latency, bandwidth, and edge compute. Your toolkit spans optimization, control theory, multi-agent planning, reinforcement learning, and operations research. Some of your work will stay in simulation; some will be validated in field trials where real platforms execute your plans.
You’ll work with the research teams that push autonomy theory forward and the mission teams that integrate those systems into contested environments. You’ll collaborate across STR with sensors engineers who provide the data your algorithms consume, with C2 software teams who operationalize your code, and with mission-systems teams who field it. When you hand off a planning system or coordination layer, you’ll brief the team on what it does, the constraints it assumes, and where it breaks down. Sometimes you’ll publish through peer review. Sometimes the work will remain classified because it will shape how heterogeneous teams of platforms outmaneuver adversaries.