Senior Human-Machine Teaming Engineer
About you
Responsibilities
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Contribute to the technical direction and implementation of capabilities supporting human-machine and machine-machine teaming for autonomous airborne systems.
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Design, develop, and deploy novel teaming capabilities that measurably enhance the performance, safety, and resilience of human-machine teams.
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Propose, design, and execute applied research and human subject experiments to evaluate human-machine teaming capabilities in realistic operations.
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Contribute to simulation, integration, and flight test activities to validate autonomy software in relevant environments.
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Write, test, document and review code according to Merlin’s development standards.
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Collaborate across Merlin to develop novel systems to solve the toughest problems in aviation and autonomy.
Requirements
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Degree in Computer Science, Aerospace Engineering, Robotics Engineering, or a related subject.
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5+ years of professional experience (including graduate work) developing software for airborne autonomous systems.
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Deep experience in one or more of the following:
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Human-machine interaction for crewed aircraft and/or UAS
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Single- and multi-vehicle autonomy, resource allocation, and decision making algorithms
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Software development for physiological signal monitoring
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Algorithmic modeling for human cognitive state analysis
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Experience in modern software development workflows and practices, including version control, pipelines, and unit testing, and peer review.
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Experience with overall product development cycle, including design, testing, and troubleshooting at the system level as well as at the software component level.
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Experience with Linux and open-source development tools.
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Proficiency writing code in Python.
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Experience with technical writing.
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Strong problem-solving skills and the ability to learn and contribute across different technical domains.
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Nice to Have
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Proficiency with C++ and ROS.
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Experience designing focused research plans and experiments to evaluate human-machine and machine-machine teaming effectiveness.
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Experience with perception systems, sensor fusion, world modeling concepts, or Bayesian probabilistic methods.
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Experience with proposal writing and technical roadmap development.
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Familiarity with simulation software, especially aircraft simulation.
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Experience with hardware and software integration and debugging.
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Experience with flight testing (uncrewed or crewed aircraft).
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Pilot license and flight experience is a plus.