Shield AI
Discrete Planning Engineer (R5440)
$135K–$350K
San Diego, California +1 · Hybrid · Full-time · Posted Jul 24, 2026
- Location
- San Diego, California
United States - Experience
- Typically requires a PhD with graduate work in Optimization or Operations Research; alternatively, a master’s degree with 4 or more years of work in the same areas.
- Education
- PhD with graduate work in Optimization or Operations Research, or a master’s degree.
About the job
Researches and builds optimization and motion-planning software for autonomous vehicle teams and future autonomy products.
What you'll do
- Research, design, and implement algorithms for task allocation, scheduling, and temporal sequencing of heterogeneous autonomous vehicles.
- Improve C++ mission-planning software for different vehicle types and compute platforms.
- Help define technical roadmaps for autonomy solutions and SDK offerings.
What they ask for
- PhD with graduate work in Optimization or Operations Research, or a master’s degree plus 4 or more years of work in those areas.
- Expertise in Integer or Mixed Integer Linear Programming, Constraint Programming, Convex Optimization, Multi-Objective-Optimization, and established solvers.
- Significant experience implementing algorithms in C++ and debugging multithreaded execution with tools such as gdb.
Nice to have
- Past publications on Optimization.
Pay
USD 135,000–200,000 base salary; USD 165,000–250,000 base salary; USD 200,000–300,000 base salary; USD 230,000–350,000 base salary; USD 135,000–350,000 base salary
Tools
C++, gdb, Gurobi, Google-OR, CPLEX
AI focus
Develops autonomy algorithms for task allocation, scheduling, and planning for distributed teams of autonomous vehicles.
Model-written summary · the original posting is authoritative