Aerospace Algorithms Engineer
MORSE Corp
Aerospace Algorithms Engineer
MORSE Corp
Develops AI-enabled defense software for DoD
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.
As an Aerospace Algorithms Engineer at MORSE you will be working on a broad set of applications developing novel physics, statistical, and mathematical models for use in mission planning tools used by military personnel and first responders. MORSE is looking for engineers with a strong background in physics, aerospace, robotics, math, and statistics who are also able to develop their algorithms in software to function efficiently and be readily testable.
Develop and own algorithms throughout their lifecycle, including conception, development, documentation, deployment, and testing.
Process and analyze raw data
Simulate and validate algorithmic performance using dynamic systems.
Present technical work through white papers, analysis test reports, and oral presentations.
Collaborate with cross-functional teams to ensure seamless integration of algorithms into software solutions.
The candidate must have the ambition to own mission planning algorithms for their entire lifecycle: conception of the solution, development, documentation, deployment in software, and testing. Most importantly, the candidate must be passionate about developing solutions that are fieldable!
US CITIZENSHIP REQUIRED or the ability to obtain a U.S. Security Clearance.
Proficiency in Python algorithm and software development practices.
Strong background in physics, math, and statistics.
Experience with developing algorithms and simulations.
Experience simulating dynamic systems to test and validate algorithmic performance
Experience describing systems via equations of motion derived from first-principle engineering analysis
Experience presenting technical work through white papers, analysis test reports, and oral presentations.
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. Therefore, final offer amounts may vary from the amount stated. Depending on role eligibility, total compensation may also include bonus, stock, 401(k) match, paid time off, medical, dental, vision and life insurance.
Employees also receive 10 paid holidays per year. MORSE maintains an “open” leave policy that does not restrict exempt, regular full-time employees to a specific number of paid sick or vacation days. However, this policy is not an “unlimited” paid leave policy.
The team at MORSE takes pride in being the smart team that is easy to work with. We focus on steady, long-term success with an emphasis on exceptionalism and delivering mission-critical impact to our customers. For more information, please visit www.morsecorp.com.
Compensation 90000 - 180000 USD
Develops AI-enabled defense software for DoD
MORSE Corp develops software and algorithms for the U.S. national security sector, focusing on AI, machine learning, human–machine teaming, autonomous systems, and systems integration for DoD and the Intelligence Community. Its tools include applications like GPS-denied navigation, mission planning, and data management, delivered through government contracts as a prime or subcontractor under firm-fixed-price and other arrangements. The company differentiates itself by being 100% employee-owned, pursuing mission-oriented rapid solution engineering, and working directly with multiple defense agencies and DARPA. Its goal is to provide reliable, mission-critical technology to national security customers and to grow sustained government contracts by expanding AI-enabled and autonomous capabilities in challenging environments.
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