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Autonomy Software Engineer

Job in Cambridge, Middlesex County, Massachusetts, 02140, USA
Listing for: MORSECORP, Inc.
Full Time position
Listed on 2026-10-11
Job specializations:
  • Software Development
    Robotics, Software Engineer, Embedded Software Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 90000 - 180000 USD Yearly USD 90000.00 180000.00 YEAR
Job Description & How to Apply Below

MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding cutting-edge technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem.

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:

Research, develop, and prototype novel autonomy software and algorithms for autonomous systems

Develop and evaluate autonomy software from conceptualization to implementation, including selection and evaluation of sensors, software development, and data analysis

Design, develop, and test algorithms for autonomous systems, including sensor fusion, guidance, navigation, and control

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

Collaborate with a multidisciplinary team in an agile environment to rapidly design, prototype, and test autonomous systems

Requirements:

US CITIZENSHIP REQUIRED or the ability to obtain a U.S. Security Clearance.

The candidate must have experience developing real-world solutions with computational constraints, measurement errors, and modeling uncertainty

5+ years of Autonomy, Guidance, Navigation and or Controls experience

Experience with developing both algorithms and the simulations for test and validation

Expertise in positioning, navigation, and timing, particularly for aircraft

The ideal candidate will have experience working on complex, multi-disciplinary R&D programs

BS. or M.S. (preferred) in Aeronautical/Aerospace, or Electrical Engineering (Control or Signal Processing focus) or equivalent degree/major

  • Willingness to travel up to 25% to support flight testing, meet customers, and other travel as necessary
Desired

Qualifications:

Expertise in sensor fusion such as Kalman filtering and experience with multiple sensing modalities

Experience with designing and integration of autonomy hardware (sensors, flight controllers)

Experience with C++ and Python software languages and software design best practices.

Experience with sensor modeling, simulation, and performance analysis

Experience in ML model development and deployment using open-source tooling such as PyTorch and ONNX

Ability to lead a small multi-disciplinary team is a plus

Compensation

MORSE Corp’s salary range for this role carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, skills and expertise, location, internal equity, and other factors that are job related and consistent with business need.…

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