Responsibilities:
- Technical lead in autonomy, robotics, and machine learning software for the Advanced Capabilities Team
- Design, build, and integrate onboard and off-board airborne autonomy capabilities to:
- Reduce pilot workload and assist pilots with nominal and emergency flight procedures.
- Enable cargo aircraft to safely fly without a human pilot onboard.
- Support automated mission planning.
- Enable real-time contingency planning and safe execution of contingency procedures and maneuvers.
- Work closely with the R&D software engineering manager to understand team objectives, short term milestones, long term milestones, and technology roadmap.
- Contribute to concept of operations (CONOPs) design and requirements derivation for autonomy software systems.
- Lead architecture design and perform architecture and technology trade-off analysis, accounting for short term objectives and long term goals in decision making.
- Collaborate closely with the rest of the R&D software team throughout the research, design, implement, and test cycle.
- Drive, provide input on, and approve key decisions relating to system architecture and design, software implementation details, algorithm selection, tool/library usage, and more.
- Write, test, document and review code according to Merlin’s development standards as needed.
- Review design inputs and code written by the rest of the R&D software team.
- Act as a mentor for the team.
- Collaborate across Merlin to develop novel systems to solve the toughest problems in aviation and autonomy.
Qualifications:
- Degree in Computer Science, Aerospace Engineering, Robotics Engineering, or a related subject.
- 10+ years of professional experience developing software for physical systems such as aircraft, robotics, or medical devices.
- Subject matter expert in at least one of these fields: perception, reasoning, decision making, planning, and control.
- Familiar with the following areas relating to the autonomy software stack:
- Perception: detection, processing, and tracking using cameras, radar, and/or LIDAR.
- Reasoning and decision making: state machines, behavior trees, hierarchical task networks, petri nets.
- Scheduling and motion planning: global and local spatio-temporal planners, preferably in the air domain.
- Human-machine interaction: use of algorithms and autonomy to reduce crew mental and physical workload.
- System reliability: monitoring of subsystems and identifying contingencies.
- State estimation and control.
- Robotics middleware software such as ROS/2.
- Ability to interpret, develop, and integrate abstract code to facilitate efficiency, modularity, and reusability.
- Years of experience providing tech leadership to a team of at least 5-7 engineers at different levels.
- Experience with Linux and open-source development tools.
- Proficiency in modern software development workflows and practices, including version control, pipelines, and unit testing, and peer review.
- Experience with overall product development cycle, including design, testing, and troubleshooting at the system level as well as at the software component level.
- Proficiency writing both Python and C++.
- Familiarity with simulation software, especially aircraft simulation.
Nice to Haves:
- Familiarity with ML frameworks such as Tensorflow, PyTorch, OpenCV.
- Experience developing sensor fusion algorithms.
- Experience implementing machine learning based perception and planning algorithms, including using deep learning and reinforcement learning techniques.
- Experience with hardware and software integration and debugging.
- Experience with flight testing (uncrewed or crewed aircraft).
- Awareness of aviation certification standards such as DO-178.
- Pilot license and flight experience is a plus.
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