Machine Learning Engineer - Autonomy New Bingen, Washington

Heven Drones Ltd

Northern (KY)

Hybrid

USD 90,000 - 140,000

Full time

3 days ago
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Job summary

Heven AeroTech is seeking a Machine Learning Engineer - Autonomy to develop and deploy ML and autonomy capabilities for uncrewed aircraft. You will integrate with flight-control, mission computers, and avionics, working across teams to take autonomy from development to flight test.

The role emphasizes production-quality C++/Python software, onboard compute optimization, and collaboration with platform engineers and flight test teams. A strong ML and robotics background is essential.

Qualifications

  • BA/BS degree in Computer Science, Electrical Engineering, Robotics, Aerospace Engineering, or related field, or equivalent practical experience.
  • 2–5 years of ML or autonomy software experience on robotic/UAS platforms.
  • Strong C++ and Python development skills, incl. Linux-based development and ML frameworks.
  • Knowledge of perception, sensor integration, autonomous decision making or planning, real-time systems.
  • English proficiency required for responsibilities.

Responsibilities

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

Skills

C++ development
Python development
Autonomy software
English proficiency
Real-time systems

Education

B.S. in CS/EE/Robotics

Tools

CUDA/TensorRT
ROS 2
MAVLink
Linux development

Job description

Title: Machine Learning Engineer, Autonomy
Company: Heven AeroTech
Location: Bingen, Washington
FLSA: Exempt
About Our Company: At Heven AeroTech (Heven), we don’t just believe in the power of people—we build our success on it. As a recognized leader in hydrogen-powered drones, we’ve earned recognition for creating a workplace where innovation thrives, collaboration is second nature, and every employee feels valued. Our culture is anchored in trust and a shared commitment to excellence.

We believe great teams are built on individuals who are humble, hungry, and smart—those who put team success first, take initiative to continuously improve, and demonstrate strong interpersonal awareness. At Heven, your voice matters, your ideas are heard, and your contributions make a tangible impact as you grow through hands‑on experience and collaboration across the team.

Role Summary: Reporting to the Head of Mission Systems and Software, the Machine Learning Engineer - Autonomy develops and deploys machine learning and autonomy capabilities for Heven AeroTech uncrewed aircraft systems. The role focuses on practical UAS autonomy, including perception, tracking, sensor fusion, mission‑level decision making, planning, and integration with flight‑control, mission‑system, onboard‑compute, and payload interfaces. This engineer works closely with other Machine Learning Engineers, Platform Engineers, Flight Test, and aircraft engineering teams to take autonomy capabilities from development through simulation, integration, ground test, and flight test.

  • Develop, integrate, and deploy machine learning and autonomy capabilities for uncrewed aircraft, with emphasis on reliable operation on real aircraft and onboard compute.
  • Develop mission‑level autonomous behaviors using appropriate combinations of state machines, behavior trees, planners, optimization methods, deterministic logic, and machine learning.
  • Develop and integrate perception capabilities including object detection, classification, tracking, scene understanding, sensor fusion, and geospatial reasoning.
  • Integrate autonomy software with autopilots, companion computers, mission computers, sensors, payloads, data links, and GCS/C2 systems while maintaining clear interfaces with flight‑control functions.
  • Develop production‑quality C++ and Python software for real‑time and near‑real‑time execution, including optimization for NVIDIA GPU and embedded edge‑compute platforms.
  • Develop and use simulation, SIL, HIL, bench‑test, and automated test environments to evaluate autonomy behavior and reduce risk prior to flight.
  • Support aircraft integration, ground test, and flight test of autonomy capabilities, including analysis of logs and test data to characterize performance and drive improvements.
  • Collaborate across Heven AeroTech with Machine Learning Engineers, Platform Engineers, Flight Test, avionics, electrical, mechanical, and other engineering teams.

Qualifications & Experience:

Required:

  • BA/BS degree in Computer Science, Electrical Engineering, Robotics, Aerospace Engineering, or a related technical field, or equivalent practical experience.
  • 2-5 years of experience developing and deploying machine learning or autonomy software on robotic, autonomous, or UAS platforms.
  • Strong C++ and Python development skills, including Linux‑based development and modern machine learning frameworks.
  • Working knowledge of perception, sensor integration, autonomous decision making or planning, and real‑time system integration.
  • Professional working proficiency in English (spoken and written) is required to perform the responsibilities of this role.
  • This position is not eligible for visa sponsorship. Applicants must be legally authorized to work in the United States without employer sponsorship, now or in the future.
  • If this role requires access to information controlled under U.S. export control laws (ITAR/EAR), applicants must also qualify as a \"U.S. person\" under 22 CFR §120.62 (U.S. citizen, U.S. national, lawful permanent resident, or protected individual such as an asylee or refugee).

Preferred:

  • Direct experience with UAS autonomy, aircraft integration, or flight test.
  • Experience with NVIDIA edge compute, CUDA/TensorRT, ROS 2, MAVLink, or comparable robotics and vehicle interfaces.
  • Aerospace or defense experience and eligibility to obtain a DoD Secret clearance.

Physical Requirements:

  • Ability to work effectively in a standard office, engineering laboratory, aircraft integration, hangar, and outdoor flight‑test environment.
  • Ability to stand, walk, bend, kneel, reach, and work around aircraft, ground‑support equipment, test equipment, and computing hardware for extended periods as required.
  • Ability to lift, carry, and position equipment and components weighing up to 25 pounds, with or without reasonable accommodation.
  • Ability to safely work in outdoor environments and varying weather conditions during ground and flight‑test activities.
  • Ability to work around aircraft systems, electrical equipment, rotating equipment, batteries, and other laboratory/flight‑test hazards while following applicable safety procedures and PPE requirements.
  • Ability to visually inspect equipment, read computer displays, instrumentation, schematics, logs, and test data, with or without reasonable accommodation.
  • Ability to work flexible hours, including early mornings, evenings, or occasional weekends, when required to support aircraft integration, ground testing, or flight‑test operations.
  • Ability and willingness to travel to company facilities, customer sites, and/or designated flight‑test locations as required by the position.

Benefits Overview: Heven AeroTech offers a competitive benefits package designed to support the health, financial security, and overall well‑being of our employees and their families. Benefits include medical, dental, and vision coverage, retirement plans, paid time off/sick, and additional protections such as critical illness, hospital indemnity, accident coverage, and short‑and‑long‑term disability.

Equal Employment Opportunity Statement: Heven AeroTech is an Equal Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under applicable law.

Salary Range: $90,000 - $140,000 USD

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in Heven AeroTech’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A \"disabled veteran\" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service‑connected disability.

A \"recently separated veteran\" means any veteran during the three‑year period beginning on the date of such veteran\'s discharge or release from active duty in the U.S. military, ground, naval, or air service.

An \"active duty wartime or campaign badge veteran\" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An \"armed forces service medal veteran\" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

Voluntary Self-Identification of Disability

Form CC-305 Page 1 of 1 OMB Control Number 1250-0005 Expires 07/31/2029

Why are you being asked to complete this form? We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years.

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  • Missing limbs or partially missing limbs
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