MORSE is looking for an Autonomy Software Engineer to research, develop and prototype novel autonomy software to enable pre-mission planning and operation of novel aircraft and other autonomous systems. MORSE is seeking an aeronautical, aerospace, mechanical, or electrical engineer in optimization, estimation theory, and/or guidance, navigation and control (GNC) algorithms. Responsibilities will include autonomy development from conceptualization, including the selection and evaluation of sensors, implementation, including software development, and evaluation, including data analysis. The role will involve developing and testing code in a simulation and HWIL environment as well as field tests of the implemented autonomy software. The ideal candidate will have a strong foundation in physics, math, statistics, and computer science, as well as experience handling electronic hardware and machine learning. The candidate will work with a multidisciplinary team in an agile environment to rapidly design, prototype and test autonomous systems.
Responsibilities:
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Research, develop, and prototype novel autonomy software for autonomous systems
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Develop and evaluate autonomy software from conceptualization to implementation, including selection and evaluation of sensors, software development, and data analysis
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Design, develop, and test algorithms for autonomous systems, including sensor fusion, guidance, navigation, and control
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Develop and test code in simulation and Hardware-In-the-Loop (HWIL) environments, as well as participate in field tests of implemented autonomy software on vehicles and systems
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Collaborate with a multidisciplinary team in an agile environment to rapidly design, prototype, and test autonomous systems
Requirements:
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US CITIZENSHIP REQUIRED or the ability to obtain a U.S. Security Clearance.
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The candidate must have experience developing real-world solutions with computational constraints, measurement errors, and modeling uncertainty
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5+ years of Autonomy, Guidance, Navigation and or Controls experience
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Experience with developing both algorithms and the simulations for test and validation
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Expertise in positioning, navigation, and timing, particularly for aircraft
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The ideal candidate will have experience working on complex, multi-disciplinary R&D programs
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BS. or M.S. (preferred) in Aeronautical/Aerospace, or Electrical Engineering (Control or Signal Processing focus) or equivalent degree/major
Desired Qualifications:
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Expertise in sensor fusion such as Kalman filtering and experience with multiple sensing modalities
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Experience with designing and integration of autonomy hardware (sensors, flight controllers)
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Experience with C++ and Python software languages and software design best practices.
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Experience with sensor modeling, simulation, and performance analysis
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Experience in ML model development and deployment using open-source tooling such as PyTorch and ONNX
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Ability to lead a small multi-disciplinary team is a plus
MORSE is an innovative, employee-owned, tech company located in Kendall Square in Cambridge, MA specializing in solving multi-disciplinary problems faced by the US National Security Ecosystem. Our specially selected team of engineers, software developers and scientists develop algorithms, software, and hardware in the domains of AI, Manned and Unmanned Vehicles, Mission Planning, and Warfighter Situational Awareness.
The team at MORSE takes pride in being the smart team that is easy to work with. We focus on steady, long-term success while maintaining a collaborative, enjoyable work experience for its employees. Our team values work-life balance through flexibility and other programs, along with a comprehensible benefits package for employees and families. For more information, please visit www.morsecorp.com.
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MORSE is a specially selected team of scientists, engineers, and software developers who use asymmetric and unconventional approaches to deploy practical solutions that solve difficult multi-disciplinary problems faced by the US National Security Ecosystem.
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