Sr. Machine Learning Engineer, Autonomy

Title: Sr. Machine Learning Engineer, Autonomy

Company: Heven Aero Tech

Location: Bingen, WA
* On-Site Required

FLSA: Exempt

Reports To: Director of Engineering

At Heven Aero Tech (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.

Reporting to the Head of Mission Systems and Software, the Senior Machine Learning Engineer, Autonomy owns the technical development and delivery of machine learning and autonomy capabilities for Heven Aero Tech uncrewed aircraft systems. The role requires an experienced engineer who can turn mission and operational needs into software requirements, architecture, implementation, and demonstrated aircraft capability.

The role covers perception, tracking, sensor fusion, mission-level decision making, planning, and integration with flight-control, mission-system, onboard-compute, and payload interfaces. This engineer leads assigned autonomy efforts from initial design through simulation, integration, ground test, and flight test, with responsibility for technical decisions, software quality, performance, and resolving issues across system interfaces.

This is a hands-on senior individual contributor position with technical leadership and mentorship responsibilities. The engineer provides guidance to junior and mid-level Machine Learning Engineers through design and code reviews, troubleshooting, and shared development and testing work. The role does not include direct personnel management responsibilities and works closely with Platform Engineers, Flight Test, and aircraft engineering teams.

• Own the technical execution of assigned autonomy capabilities, including requirements development, architecture, implementation, integration, verification, and delivery.
• Translate mission needs into defined autonomous behaviors, operating constraints, measurable performance requirements, and test acceptance criteria.
• Make and document technical tradeoffs across machine learning, deterministic logic, state machines, behavior trees, planners, and optimization methods based on mission needs, system constraints, and test evidence.
• Design and implement mission-level autonomous behaviors, including mission execution, replanning, contingency handling, and coordination with operator commands and aircraft operating limits.
• Lead development and integration of perception capabilities, including object detection, classification, tracking, scene understanding, sensor fusion, and geospatial reasoning.
• Define and maintain interfaces between autonomy software, autopilots, companion and mission computers, sensors, payloads, data links, and GCS/C2 systems, including clear boundaries between mission autonomy and flight-control authority.
• Develop and review production-quality C++ and Python software for real-time and near-real-time execution. Evaluate and optimize latency, throughput, memory use, and compute utilization on NVIDIA GPU and embedded platforms.
• Own the model development and deployment process for assigned capabilities, including dataset quality, training and evaluation methods,…