- Shieldai
- Washington, DC
- Full-Time
- 40 days ago
- $220,800–$331,200
Senior Staff Engineer, Autonomy Capabilities – Maritime (R5363).
Before you go
Before you leave us, sign up for our email alerts
We don't do job spam, just the best digital jobs delivered straight to your inbox.
Senior Staff Engineer, Autonomy Capabilities – Maritime (R5363): our view in 3 lines...
- The Role:This role is for a senior engineer working on autonomy capabilities for maritime systems at a defense-tech company.
- The Person:The person will develop autonomy functionality for single- and multi-agent platforms, work across control laws through multi-agent coordination, and integrate solutions into real-world platforms.
- Requirements:The role centres on advanced control laws, motion planning, advanced tactical behaviors, multi-agent coordination, aircraft kinematics and dynamics, trajectory design, optimization, information fusion, and software integration skillsets.
About the role
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. This team operates at all levels of the command-and-control hierarchy (from advanced control laws, through motion planning, and up to advanced tactical behaviors and multi-agent coordination) and across a multitude of mission sets, platform types, and operational domains (e.g., air, sea, space). The team puts a strong emphasis on both fundamentals (e.g., aircraft kinematics/dynamics, trajectory design, optimization, information fusion, efficient algorithms, etc.) and software integration skillsets (e.g. structures, protocols, threading, interface management, etc.) to bring market-differentiating capabilities to customers that seamlessly operate within their integration contexts.
This position is perfect for an individual who enjoys solving complex problems across a diverse set of programs and integration contexts. An ideal candidate is expected to address operational system needs through a multitude of advanced methodologies that blend traditional control system approaches with advanced optimization. Developed solutions are expected to be integrated into real-world platforms with near-term program impacts and rewards and so balancing theory with practice and rigorous implementation is paramount.

