Space Autonomy Engineer: Optimization & Mission Planning

trueanomalyinc; Denver (CO); On-site; USD 180,000 - 360,000; Full time

Benefits offered by this job

Equity

Health benefits

Dental coverage

Vision care

HRA/HSA options

PTO

Paid holidays

401K

Parental Leave

Job summary

True Anomaly Inc. seeks engineers to design, build, and deploy core autonomy capabilities at the intersection of AI, ML, and optimization. You will work on fleet scheduling, vehicle autonomy, mission planning, wargaming, and threat assessment within a cross‑functional team.

You are a first principles engineer who owns the systems you build and delivers results in a real-time, high-stakes environment. A strong background in optimization and AI is essential.

Qualifications

• Bachelor's degree in a quantitative discipline.
• Proficient in C/C++ and Python for implementing optimization solvers.
• Strong expertise in adversarial optimization, mathematical programming, and statistical learning.

Responsibilities

• Design, implement, and validate optimization algorithms for fleet-level mission planning and resource allocation.
• Contribute to system architecture for large-scale distributed optimization problems.
• Collaborate with cross-functional teams to formalize requirements into mathematical programs and deploy scalable solutions.
• Tune and validate optimization models through simulation and hardware-in-the-loop testing.
• Develop production-quality implementations with rigorous documentation and testing.

Skills

C/C++

Python

Adversarial optimization

Mathematical programming

Statistical learning

Distributed optimization

Probability theory

Education

Bachelor's degree

Tools

Optimization solvers

Job description

True Anomaly Inc. seeks engineers to design, build, and deploy core autonomy capabilities at the intersection of AI, ML, and optimization. You will work on fleet scheduling, vehicle autonomy, mission planning, wargaming, and threat assessment within a cross‑functional team.

You are a first principles engineer who owns the systems you build and delivers results in a real-time, high-stakes environment. A strong background in optimization and AI is essential.