Aerospace Algorithms Engineer Co-op: ML & Simulation

MORSE Corp Co-op Opportunities; Cambridge (ID); On-site; USD 39,000 - 45,000; Full time

Job summary

MORSE Corp is an employee owned, small business focused on fielding cutting-edge technology. MORSE Corp seeks an Aerospace Algorithms Engineer Co-op to develop models for mission planning, modeling & simulation, and machine learning applications.

The role requires a strong background in physics, aerospace, robotics, math, and statistics and the ability to implement algorithms in software that is testable.

Qualifications

• US CITIZENSHIP REQUIRED or the ability to obtain a U.S. Security Clearance.
• Working towards a BS 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

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

Python

Physics

Mathematics

Statistics

Algorithm development

Data analysis

Education

BS in Aerospace Engineering, Robotics, Physics or related field

Job description

MORSE Corp is an employee owned, small business focused on fielding cutting-edge technology. MORSE Corp seeks an Aerospace Algorithms Engineer Co-op to develop models for mission planning, modeling & simulation, and machine learning applications.

The role requires a strong background in physics, aerospace, robotics, math, and statistics and the ability to implement algorithms in software that is testable.