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Morsecorp·1 month ago
1 month ago

Aerospace Algorithms Engineer

Cambridge, United States of AmericaMid · 5+ yearsAerospace / Avionics Engineer

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Must-have skills for this role

  • python
  • physics
  • aerospace engineering
  • algorithm development

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Apply faster with autofill FREEmorsecorp uses Greenhouse - autofill it instead of retyping.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

About this role

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.  

Job Summary

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.

Responsibilities:

  • 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.

Skills and Requirements

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.

  • MS or PhD in Aerospace Engineering, Robotics, Physics or other relevant field
  • 5+ years of experience 
  • 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. 

Compensation
$90,000—$210,000 USD

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.

 

Company

Morsecorp
Cambridge, United States of America

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Morsecorp's careers site·first seen 1 Aug 2026·last verified 8 Sept 2026·How we source jobs

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