Research & Development Engineer .

Mission Autonomy AI; Naugatuck (CT); In loco; USD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

Mission Autonomy AI is seeking an experienced engineer to advance autonomy for unmanned aircraft used by the Air Force. You will design multi-agent coordination, implement on-hardware algorithms, and bring simulations to live flight ranges, documenting results and guiding future proposals.

Ideal candidates have a strong background in C++ or Python, robotics stacks (ROS/ROS 2, PX4, ArduPilot), and a track record of shipping hardware-enabled software.

Competenze

• Bachelor's degree in engineering, computer science, physics, or a related technical field.
• 3+ years of experience working on defense programs.
• Strong C++ or Python, and the judgment to know which one a problem needs.
• Experience with robotics or autonomy stacks — ROS/ROS 2, PX4, ArduPilot, or equivalent in-house systems.
• A working grasp of control, estimation, or planning, and the math under them.
• You've shipped something that ran on real hardware, not just in a notebook.

Mansioni

• Design and implement multi-agent coordination, task allocation, and guidance algorithms for unmanned aircraft.
• Move autonomy from simulation through hardware-in-the-loop to live flight test.
• Build the simulation and analysis tooling the team needs to trust a behavior before it flies.
• Debug real flight data — logs, telemetry, video — and turn what you find into fixes.
• Support flight campaigns on site, alongside the operators who use the system.
• Write up results: technical reports, customer briefings, and the next proposal.

Conoscenze

C++

Python

Robotics

Formazione

Bachelor's degree in engineering, computer science, physics, or related technical field

Master's degree (nice to have)

Strumenti

ROS/ROS 2

PX4

ArduPilot

Descrizione del lavoro

Our autonomy work is moving from proven algorithms to operational flight demonstrations for the Air Force. Coordinated groups of unmanned aircraft, reduced operator workload, live flight testing at the end of it.

This is an R&D seat, which means the problem isn't fully specified when it lands on your desk. You'll design the approach, prove it in simulation, put it on hardware, and go to the range to see whether it holds. Then you'll write up what happened.

What you'll do

• Design and implement multi-agent coordination, task allocation, and guidance algorithms for unmanned aircraft.
• Move autonomy from simulation through hardware-in-the-loop to live flight test.
• Build the simulation and analysis tooling the team needs to trust a behavior before it flies.
• Debug real flight data — logs, telemetry, video — and turn what you find into fixes.
• Support flight campaigns on site, alongside the operators who use the system.
• Write up results: technical reports, customer briefings, and the next proposal.

What we're looking for

• Bachelor's degree in engineering, computer science, physics, or a related technical field.
• 3+ years of experience working on defense programs.
• Strong C++ or Python, and the judgment to know which one a problem needs.
• Experience with robotics or autonomy stacks — ROS/ROS 2, PX4, ArduPilot, or equivalent in-house systems.
• A working grasp of control, estimation, or planning, and the math under them.
• You've shipped something that ran on real hardware, not just in a notebook.

Nice to have

• Master's degree in a related technical field.
• Flight test experience with UAS.
• GNSS-denied navigation, visual-inertial odometry, or multi-sensor fusion.
• Prior work on Department of War programs or SBIR/STTR efforts.

U.S. citizenship required. Must be able to obtain and maintain a U.S. security clearance.

Expect periodic travel to test ranges.