Senior Staff Engineer, Discrete Planning (R5440)

Shield AISan Diego, CA
$230,000 - $350,000

About The Position

The Discrete Planning Group is part of the Autonomy Team for Hivemind Enterprise Product. The group is an agile set of engineers focused on researching and developing state-of-the-art algorithms that drive intelligent and confidence-inspiring flight behaviors while accounting for an uncertain and dynamic world. As a member of the group, you will work at the intersection of artificial intelligence, discrete optimization, and motion planning. You will architect and write high-quality software for core systems, set standards for software engineering, refine technical requirements, drive strategic technical improvements, and mentor other engineers.

Requirements

  • 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.

Nice To Haves

  • Past publications on Optimization(google scholar profile).

Responsibilities

  • 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.

Benefits

  • Bonus
  • Benefits
  • Equity
  • Temporary benefits package (applicable after 60 days of employment)

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Education Level

Ph.D. or professional degree

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