Aerospace Algorithms Engineer Co-op | Mission Planning & ML

MORSECORP, Inc.; Cambridge (MA); On-site; USD 39,000 - 45,000; Part time

Job summary

MORSE Corp is an employee-owned, small business focused on cutting-edge technology for the US National Security ecosystem. MORSE is seeking an Aerospace Algorithms Engineer Co-op to develop physics, statistical, and machine-learning models for mission planning, modeling & simulation, and software integration.

The candidate should have a strong background in physics, aerospace, robotics, math, and statistics, with passion for fieldable solutions and Python-based development.

Qualifications

• US citizenship or ability to obtain a U.S. Security Clearance.
• Pursuing a BS in Aerospace Engineering, Robotics, Physics or related field.
• Proficiency in Python for algorithm and software development.
• Strong background in physics, mathematics, and statistics.
• Experience developing algorithms and simulations.
• Experience simulating dynamic systems to test and validate algorithmic performance.
• Experience describing systems via equations of motion from first-principles.
• Experience presenting technical work through white papers and reports.

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

Algorithms

Data analysis

Dynamic systems

Statistics

Education

BS in Aerospace Engineering/Robotics/Physics

Tools

Python development tools

Job description

MORSE Corp is an employee-owned, small business focused on cutting-edge technology for the US National Security ecosystem. MORSE is seeking an Aerospace Algorithms Engineer Co-op to develop physics, statistical, and machine-learning models for mission planning, modeling & simulation, and software integration.

The candidate should have a strong background in physics, aerospace, robotics, math, and statistics, with passion for fieldable solutions and Python-based development.