Aerospace Algorithms Engineer Graduate Co-op

MORSE Corp; Cambridge (MA); On-site; USD 39,000 - 51,000; Full time

Job summary

MORSE Corp is an employee-owned small business with offices in Cambridge, MA, Arlington, VA, and Seattle, WA. We develop cutting-edge technology for the US National Security ecosystem and search for engineers who can transform physics and math models into robust software solutions.

As an Aerospace Algorithms Engineer Co-op, you will create novel physics, statistical, and machine learning models for mission planning, modeling & simulation, and ML applications.

Qualifications

• The candidate should own mission planning algorithms throughout their lifecycle.
• Experience with physics-based modeling, simulations, and numerical methods is preferred.
• Proficiency in Python and software development practices is required.

Responsibilities

• Develop and own algorithms through conception, development, deployment, and testing.
• Process and analyze raw data for validation.
• Simulate and validate algorithmic performance in dynamic systems.
• Present technical work via white papers, reports, and presentations.
• Collaborate with cross-functional teams to integrate algorithms into software.

Skills

Python

Algorithms

Data analysis

Statistics

Machine learning

Education

MS/PhD in Aerospace Eng, Robotics, or Physics

Tools

Simulation software

Job 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 Co-op at MORSE you will be working on a broad set of applications developing novel physics, statistical, mathematical, and machine learning models for use in mission planning, modeling & simulation, and machine learning applications. 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.

• Working towards a 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

Other desired skills

• Experience with digital signal processing, algorithm development, & AI/ML

• Experience with radar and radar processing

• Knowledge of aero performance and/or GNC as applied to aircraft

• Background in numerical methods

MORSE Corp’s pay 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.

Compensation

$28—$37 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. For more information, please visit www.morsecorp.com.