Autonomy ML Engineer for UAVs

Heven AeroTech; Northern (KY); Hybrid; USD 90,000 - 140,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Retirement plans

PTO

Disability insurance

Job summary

Heven AeroTech in Washington state seeks a Machine Learning Engineer focused on autonomy for uncrewed aircraft. You will develop perception, planning, and mission-level autonomy, integrating with autopilots, mission computers, and GCS interfaces.

Expect collaboration with ML, platform, and flight-test teams across development, simulation, and flight testing. The role requires strong C++/Python skills, Linux-based workflows, and experience with ML frameworks, perception, and real-time systems.

Qualifications

• BA/BS degree in Computer Science, Electrical Engineering, Robotics, Aerospace Engineering, or related field, or equivalent practical experience.
• 2-5 years of experience developing and deploying ML or autonomy software on robotic/UAS platforms.
• Strong C++ and Python development skills, including Linux-based development and ML frameworks.
• Working knowledge of perception, sensor integration, autonomous decision making or planning, and real-time system integration.

Responsibilities

• Develop, integrate, and deploy ML and autonomy capabilities for uncrewed aircraft with reliable operation on real aircraft and onboard compute.
• Develop mission-level autonomous behaviors using state machines, behavior trees, planners, or ML.
• Develop and integrate perception capabilities including object detection, tracking, sensor fusion, and geospatial reasoning.

Skills

C++

Python

English proficiency

Linux-based development

Education

BA/BS in Computer Science or related field

Tools

CUDA/TensorRT

ROS 2

MAVLink

NVIDIA edge compute

Job description

Heven AeroTech in Washington state seeks a Machine Learning Engineer focused on autonomy for uncrewed aircraft. You will develop perception, planning, and mission-level autonomy, integrating with autopilots, mission computers, and GCS interfaces.

Expect collaboration with ML, platform, and flight-test teams across development, simulation, and flight testing. The role requires strong C++/Python skills, Linux-based workflows, and experience with ML frameworks, perception, and real-time systems.