Autonomy & Optimization Engineer, Space Systems

True Anomaly; Los Angeles (CA); On-site; USD 180,000 - 360,000; Full time

Benefits offered by this job

Health benefits

Dental insurance

Vision insurance

PTO and holidays

401K

Parental Leave

Equity

Job summary

True Anomaly is hiring for an Applied Algorithms and Autonomy role in the United States. You will design and deploy optimization engines for fleet planning, resource allocation, and decision-making under uncertainty, working with cross-functional teams on autonomy for space systems.

A strong background in optimization and machine learning is required. You will advance technology at the intersection of AI, ML, and classical optimization, delivering production-grade solutions while adhering to

Qualifications

• Bachelor’s degree in a quantitative discipline.
• Proficiency in C/C++ and Python for optimization solvers.
• Experience implementing optimization algorithms in real systems.

Responsibilities

• Design, implement, and validate optimization algorithms for fleet-level mission planning.
• Contribute to system architecture for large-scale distributed optimization.
• Collaborate to formalize requirements into mathematical programs and deploy solutions.
• Test models through simulation and hardware-in-the-loop testing.

Skills

C/C++

Python

Optimization algorithms

Distributed optimization

Mathematical programming

Reinforcement learning

Probability theory

Education

Bachelor’s degree in operations research

Bachelor’s degree in applied mathematics

Bachelor’s degree in computer science

Bachelor’s degree in aerospace engineering

Master’s or PhD in related discipline

Tools

High-performance computing

Solver implementations

Job description

True Anomaly is hiring for an Applied Algorithms and Autonomy role in the United States. You will design and deploy optimization engines for fleet planning, resource allocation, and decision-making under uncertainty, working with cross-functional teams on autonomy for space systems.

A strong background in optimization and machine learning is required. You will advance technology at the intersection of AI, ML, and classical optimization, delivering production-grade solutions while adhering to