Key Responsibilities:

• Design, analyze, and improve optimization algorithms for large-scale resource-allocation problems.
• Balance competing system objectives (efficiency, coverage, performance) and formalize the trade-offs involved.
• Validate algorithms against simulation and real system metrics, not just theoretical guarantees.
• Ensure solutions scale efficiently to large problem sizes.

Qualifications

Education: Masters of Science in Electrical Engineering / Computer Science

Experience:

• Strong background in optimization (combinatorial and/or convex), with hands-on problem-solving experience.
• Proficiency in Python or MATLAB for algorithm prototyping.
• Ability to translate mathematical/technical specifications into working code.

Preferred Qualifications:

• Background in wireless communications, satellite systems, or signal processing.
• Graduate degree (MS/PhD) in EE, applied math, operations research, or CS with an optimization focus.

Soft Skills:

• Strong communication skills, with the ability to work effectively across algorithm, system, and hardware constraints.

Technology Stack:

• Python and/or MATLAB for algorithm prototyping.
• Combinatorial and convex optimization frameworks and solvers.
• Simulation and system-metric validation tooling for large-scale resource-allocation problems.

Physical Requirements

• Ability to lift up to 25 lbs.
• Ability to use a computer for extended periods.
• Ability to work in an office environment, with occasional exposure to lab or test environments to validate algorithms against real system metrics.
• Ability to travel occasionally to support system validation or cross-team collaboration as needed.

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands.

AST SpaceMobile is an Equal Opportunity, at will Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.