Senior Staff Engineer, Discrete Planning (R5440)

Shield AI
San Diego
Workplace: OnsiteFull timeUSD 230,000 - 350,000 annuallyFunction: Solutions Engineering & Sales EngineeringEducation: phdSkills: ["Mentoring","Technical leadership","Strategic planning"]

Build and improve discrete planning and scheduling algorithms for heterogeneous autonomous vehicle teams within the Hivemind autonomy platform. Design state-of-the-art task allocation and temporal sequencing, translate missions into assignable actions, and develop mission-planning software across vehicle types and compute platforms. Partner with engineers, program managers, and product managers to set technical roadmaps, drive engineering standards, and mentor other engineers while delivering simulation-based validation.

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FursaFursa
Shield AI
Shield AI
1 month ago

Senior Staff Engineer, Discrete Planning (R5440)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Build and improve discrete planning and scheduling algorithms for heterogeneous autonomous vehicle teams within the Hivemind autonomy platform. Design state-of-the-art task allocation and temporal sequencing, translate missions into assignable actions, and develop mission-planning software across vehicle types and compute platforms. Partner with engineers, program managers, and product managers to set technical roadmaps, drive engineering standards, and mentor other engineers while delivering simulation-based validation.
Location: San Diego
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Research, design, and implement algorithms for optimal task allocation, scheduling, and temporal sequencing for heterogeneous autonomous vehicle teams.
  • •Solidify and improve existing C++ mission planning software across disparate vehicle types and compute platforms.
  • •Define technical roadmaps with engineers, program managers, and product managers for future autonomy solutions and SDK offerings.
  • •Break down missions into assignable tasks based on agent capabilities and real-time mission changes.
  • •Construct feasible and optimal action plans for distributed vehicle teams while minimizing human operator workload, including full software and hardware-in-the-loop simulation.

Pay and Benefits

Salary: USD 230,000 - 350,000 annually
Equity and Bonus:Equity

Key Requirements

  • •PhD with graduate work in Optimization or Operations Research, or a Master’s degree with 4+ years in the same areas.
  • •Expertise in Integer/Mixed Integer Linear Programming, Constraint Programming, Convex Optimization, and Multi-Objective Optimization using solvers such as Gurobi, Google-OR, or CPLEX.
  • •Significant experience implementing algorithms in C++ and using debuggers such as gdb to troubleshoot execution in a multi-threaded environment.
  • •Past publications on Optimization (Google Scholar profile).
Education:PhD / Doctorate in Optimization or Operations Research
Skills:MentoringTechnical leadershipStrategic planning
Tech Stack:C++GdbGurobiGoogle-ORCPLEX

Company Brief

Shield AI
Develops AI-powered autonomy and software for military aircraft and drones to enable autonomous ISR and combat missions, integrating perception, navigation, and mission planning for defense customers.
Industry: Defense Technology
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Funding: Series E+
Headquarters: San Diego, United States
Founded: 2015
WebsiteLinkedIn