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