Shield AI

Senior Staff Engineer, Discrete Planning (R5440)

Shield AI$230K — $350K *
Transportation
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD in Optimization or Operations Research, or Master's with 4+ years relevant experience.
  • Expertise in Integer and Mixed Integer Linear Programming, Constraint Programming, and Multi-Objective-Optimization.
  • Proficient with established solvers like Gurobi, Google-OR, and CPLEX.
  • Significant hands-on experience in C++ algorithm implementation.
  • Experience troubleshooting in a multi-threaded environment using debuggers like gdb.

Responsibilities

  • Research and implement advanced algorithms for task allocation and scheduling of autonomous vehicles.
  • Enhance existing C++ mission planning software for varied vehicle types and platforms.
  • Collaborate to develop a technical roadmap for future autonomy technologies and SDKs.
  • Analyze missions into tasks based on agent capabilities and real-time updates.
  • Design optimal action plans for distributed autonomous teams to reduce human workload.
  • Conduct software and hardware-in-the-loop simulations for complex multi-agent missions.

Benefits

  • Performance bonuses.
  • Equity options.
  • Comprehensive health and wellness benefits.
  • Career development opportunities.
  • Dynamic work environment in a cutting-edge field.
Full Job Description
Job Description:

The Discrete Planning Group is a 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.

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).


$230,000 - $350,000 a year

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#LE

Full-time regular employee offer package:

Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package:

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

About Shield AI

Shield AI is a defense technology company that develops artificially intelligent systems for military applications. The company was founded in 2015 by Brandon Tseng, Ryan Tseng, and Andrew Reiter, and is headquartered in San Diego, California. Shield AI's products include autonomous drones and software that can be used for reconnaissance, surveillance, and other military operations. The company's mission is to reduce the number of military casualties by providing soldiers with better intelligence and situational awareness. Shield AI has received funding from a number of investors, including Andreessen Horowitz and Founders Fund.
Learn more about Shield AI
Size
200 employees
Industry
Founded
2015

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