Aerospace Algorithms Engineer at MORSE Corp

Seattle, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

06 May, 26

Salary

210000.0

Posted On

05 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Aerospace Engineering, Robotics, Physics, Mathematics, Statistics, Algorithm Development, Software Development, Data Analysis, Simulation, Dynamic Systems, Equations of Motion, Technical Writing, Oral Presentations, Collaboration, Mission Planning, Fieldable Solutions

Industry

Defense and Space Manufacturing

Description

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. 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. 5+ years of experience 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 while maintaining a collaborative, enjoyable work experience for our employees. Our team values work-life balance through flexibility and other programs, along with a comprehensive benefits package for employees and families. For more information, please visit www.morsecorp.com.

Responsibilities

Develop and own algorithms throughout their lifecycle, including conception, development, documentation, deployment, and testing. Collaborate with cross-functional teams to ensure seamless integration of algorithms into software solutions.