Mission-Driven Aerospace Algorithms Engineer Co-op

MORSECORP, Inc.; Cambridge (MA); On-site; USD 39,000 - 51,000; Full time

Job summary

MORSE Corp is seeking an Aerospace Algorithms Engineer Co-op in Cambridge, MA to develop physics-based models for mission planning, modeling & simulation, and ML applications. You will own algorithms through their lifecycle and work with cross-functional teams to ensure they are fieldable and testable.

The role requires strong Python, physics, and statistics background, and eligibility for US citizenship or a security clearance.

Qualifications

• Pursuing MS or PhD in Aerospace Engineering, Robotics, Physics or related 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 algorithms.
• 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 development

Algorithms

Data analysis

Statistics

Machine learning

Education

MS or PhD in Aerospace Engineering, Robotics, Physics or related field

Job description

MORSE Corp is seeking an Aerospace Algorithms Engineer Co-op in Cambridge, MA to develop physics-based models for mission planning, modeling & simulation, and ML applications. You will own algorithms through their lifecycle and work with cross-functional teams to ensure they are fieldable and testable.

The role requires strong Python, physics, and statistics background, and eligibility for US citizenship or a security clearance.