Autonomy ML Engineer for UAV Systems

Heven Drones Ltd; Washington (Washington County); On-site; USD 110,000 - 165,000; Full time

Job summary

Heven AeroTech in the United States seeks a Machine Learning Engineer – Autonomy to develop and deploy ML and autonomy for uncrewed aircraft. You will work with mission systems, flight-control interfaces, and onboard compute to bring autonomy from development to flight tests.

Candidates should have a BS and 2–5 years of experience, strong C++/Python, Linux, perception, sensor fusion, and experience with ROS 2 or MAVLink is a plus; DoD clearance eligibility is preferred.

Qualifications

• BA/BS in CS, EE, robotics, aerospace, or related field.
• 2–5 years of ML or autonomy software on robotic/UAS platforms.
• Strong C++ and Python, Linux-based development.
• English proficiency required.
• Preferred: UAS autonomy, flight test experience.

Responsibilities

• Develop, integrate, and deploy ML and autonomy for uncrewed aircraft, focusing on real onboard compute.
• Create autonomous behaviors using state machines, planners, and ML.
• Develop perception: detection, tracking, sensor fusion, scene understanding.
• Interface autonomy software with autopilots, sensors, data links, and C2 systems.
• Write production-quality C++ and Python for real-time/near-real-time execution on NVIDIA GPUs.
• Use simulation, SIL/HIL, bench-tests to evaluate autonomy before flight.
• Support integration, ground tests, and flight tests; analyze logs to improve.

Skills

C++ development

Python development

Linux development

Real-time systems

Education

BA/BS degree in Computer Science, Electrical Engineering, Robotics, Aerospace Engineering, or related field

Tools

ROS 2

MAVLink

NVIDIA CUDA/TensorRT

Job description

Heven AeroTech in the United States seeks a Machine Learning Engineer – Autonomy to develop and deploy ML and autonomy for uncrewed aircraft. You will work with mission systems, flight-control interfaces, and onboard compute to bring autonomy from development to flight tests.

Candidates should have a BS and 2–5 years of experience, strong C++/Python, Linux, perception, sensor fusion, and experience with ROS 2 or MAVLink is a plus; DoD clearance eligibility is preferred.