# Discrete Planning Engineer

**Company**: Shield AI
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.lever.co/shieldai/041e8344-bf6c-4199-8568-4ccfbf5423ba?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
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## Description

The Discrete Planning Group is part of the Autonomy Team for Hivemind Enterprise Product at Shield AI. As a Discrete Planning Engineer, you will work at the intersection of artificial intelligence, discrete optimization, and motion planning. Your responsibilities include:

- Researching, designing, and implementing state-of-the-art algorithms for optimal task allocation, scheduling, and temporal sequencing of heterogeneous teams of autonomous vehicles.

- Solidifying and improving existing C++ based mission planning software applicable across disparate vehicle types and compute platforms.

- Collaborating with engineers, program managers, and product managers to define a technical roadmap for future autonomy solutions and SDK offerings.

You might work on projects such as:

- Breaking down a mission into assignable tasks based on agent capabilities.

- Constructing feasible and optimal action plans for distributed teams of autonomous vehicles.

- Full software and hardware-in-the-loop simulation of complex multi-agent missions.

The role requires expertise in:

- Integer or Mixed Integer Linear Programming, Constraint Programming, Convex Optimization, and Multi-Objective Optimization.

- Using established solvers such as Gurobi, Google-OR, CPLEX, etc.

- Implementing algorithms in C++ and troubleshooting execution within a multi-threaded environment using debuggers like gdb.

A PhD in Optimization or Operations Research is typically required, or a Master's degree with 4 or more years of relevant work experience.

The salary compensation range is influenced by various factors, including skill set, level of experience, licenses and certifications, and specific work location.

## Skills

### Required
- Integer Linear Programming
- Mixed Integer Linear Programming
- Constraint Programming
- Convex Optimization
- Multi-Objective Optimization
- Gurobi
- Google-OR
- CPLEX
- C++
- gdb

### Nice to have
- publications on Optimization

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