Senior Staff Engineer, Discrete Planning (R5440)

Team: Pilot

Location: San Diego, California, United States

Commitment: Full Time Employee

Workplace Type: remote

Job Description:

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).