# Senior Staff Engineer, Autonomy Capabilities – Maritime (R5363)

**Company**: Shield AI
**Location**: Washington, DC
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Salary**: USD 220,800-331,200 per-year-salary
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.lever.co/shieldai/df6458c2-8706-493d-8590-17b21608cb4a?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_928bbd22-49d

## Description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems.

The Autonomy Capabilities Team develops functionality to automate single- and multi-agent teams of platforms in pursuit of mission objectives and acts as a central discipline-aligned focal-point for encouraging consistent usage of technical approaches across business portfolios.

As a Senior Staff Engineer, you will lead the technical direction for the maritime portfolio, driving the evolution of autonomy capabilities and architectures across multiple programs.

## Responsibilities:

- Create autonomy capabilities for USVs, UUVs, and cooperating UAVs that enable them to perform advanced single- and multi-agent teaming missions.

- Develop robust motion planning, localization and tracking, safe maritime operations, heterogeneous multi-agent collaboration, and rigorous software development.

- Collaborate with cross-functional teams including perception, planning, simulation, hardware, and operational test to ensure seamless integration of autonomy solutions on real-world platforms.

- Deploy autonomy capabilities to real surface vehicles, supporting integration and demonstration events as well as analysis of mission logs to verify software performance and validate system operational effect.

- Contribute to autonomy roadmaps by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission.

## Requirements:

- BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience.

- Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.

- Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).

- Significant background in robotics technologies related to motion planning, behavior modeling, decision-making, or autonomous system design.

- Significant experience with unmanned system technologies and accompanying algorithms.

- Experience with simulation tools and environments for testing and validation.

- Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.

- Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.

- Ability to obtain a SECRET clearance.

## Skills

### Required
- C++
- Python
- RTOS
- motion planning
- autonomous system design
- unmanned system technologies
- simulation tools

### Nice to have
- Experience in multiple aerospace domains
- Experience across a breadth of methodologies from classical control through optimization and applied ML/RL
- Background in collaborative behaviors and swarm robotics
- Familiarity with domain-relevant DoD or government programs

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