Senior Staff Engineer, Discrete Planning

What you'll do

• Research, design, and implement state-of-the-art algorithms for optimal task allocation, scheduling and temporal sequencing of heterogeneous teams of autonomous vehicles (land, air, other).
• Solidify and improve existing C++ based mission planning software applicable across disparate vehicle types and compute platforms.
• Work with our engineers, program managers, and product managers to define a technical roadmap for future autonomy solutions and SDK offerings.

Projects you might work on

• Breakdown a mission into assignable tasks based on agent capabilities such as navigating in contested and denied environments and adapting to mission changes in real-time.
• Construct feasible and optimal action plans for distributed teams of autonomous vehicles that also minimize human operator workload.
• Full software and hardware-in-the-loop simulation of complex multi-agent missions.

Required qualifications

• Typically requires a PhD with graduate work in Optimization or Operations Research. Master’s degree with 4 or more years of work in the same areas.
• Expert in Integer or Mixed Integer Linear Programming, Constraint Programming, Convex Optimization, Multi-Objective-Optimization and using established solvers such as Gurobi, Google-OR, CPLEX etc.
• Significant experience in implementing algorithms in C++ and using debuggers such as gdb to troubleshoot execution within a multi-threaded environment.

Ways to stand out

• Past publications on Optimization (google scholar profile).