Are you passionate about multi-agent robotics?
Ready to make a real impact in an early-stage startup?
We’re hiring for an exciting defense tech/robotics startup in Phoenix, AZ.
This company is developing autonomous vehicles for the DoD and has ambitious growth plans.
The CEO and CTO have previously led teams at industry-leading autonomous driving companies, and you’ll be joining an established team solving challenging problems.
This is a unique opportunity to join a world-class robotics team at an early stage and help shape the future of groundbreaking technology.
Multi-Agent Task Planning Engineer
As a planning engineer, you’ll design and develop multi-agent algorithms that enable coordinated task coordination among unmanned ground vehicles. You will ensure that robot swarms can operate collaboratively and efficiently in complex, dynamic environments. You will build a modern, multi-agent system from the ground up and execute swarm algorithms on physical UGV swarms of unprecedented size and capability.
What we're looking for:
- Experience developing and optimizing multi-agent task planning algorithms for robotic platforms
- Proficiency in designing distributed systems for multi-agent robotics
- Experience in fault management systems for multi-agent systems
- Strong skills in Python and/or C++
- BS, MS, or PhD in computer science, robotics, or equivalent experience
- Must be a U.S. citizen and eligible for security clearance
Bonus Points:
- Experience with unmanned ground vehicles or robotic swarms
- ROS2 Integration
If you’re ready to be part of something exciting, apply with your resume today!
