Space Autonomy Engineer – RL & MPC Expert

Trusted Space, LLC; Denver (CO); Hybrid; USD 135,000 - 215,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

401(k)

Paid holidays

PTO

Disability insurance

Life insurance

Job summary

Trusted Space, LLC is seeking a Mid-Level Autonomy Engineer to build and evaluate autonomy algorithms for space-domain missions within a cross‑functional Agile team. You will work across message buses, interfaces, and mission workflows, both in simulation and live environments.

The role requires a Bachelor's in a related field, 4+ years of autonomous systems experience, strong Python skills, and a TS/SCI clearance. Starts anticipated September 2026; compensation reflects market ranges.

Qualifications

• Bachelor’s degree in a related field.
• 4+ years of relevant industry or research experience developing autonomous systems.
• Hands-on experience implementing Reinforcement Learning, Model Predictive Control, sample-based autonomy algorithms, or other decision-making and control techniques, and analyzing their performance.
• Demonstrated ability working with large software codebases involving multiple interacting components.
• Proficiency with Python and modern algorithm development tools.
• Experience with software testing, integration workflows, and simulation environments.
• Ability to work collaboratively in cross-functional Agile teams.
• U.S. Citizenship; active TS/SCI clearance.

Responsibilities

• Develop, implement, and refine autonomy algorithms (e.g., RL, MPC) for space-domain missions.
• Contribute to integration of autonomy capabilities, including message bus interactions, ICDs/APIs, simulation interfaces, and autonomy system workflows.
• Generate autonomy performance metrics and artifacts for verification and customer reviews.
• Support integration testing, demo preparation, data generation, and scripted execution within Agile Scrum workflows.
• Collaborate with systems, software, aerospace, and DevSecOps engineers to maintain traceability across requirements, MBSE models, interfaces, and test vectors.
• Contribute autonomy-focused content to documentation, operator guides, training materials, and technical handoff packages.

Skills

Reinforcement Learning

Model Predictive Control

Python

Autonomy algorithms

Simulation testing

Agile teamwork

Large codebases

Education

Bachelor’s degree in Aerospace Engineering, Computer Science, Robotics, Applied Mathematics, or a related field

Job description

Trusted Space, LLC is seeking a Mid-Level Autonomy Engineer to build and evaluate autonomy algorithms for space-domain missions within a cross‑functional Agile team. You will work across message buses, interfaces, and mission workflows, both in simulation and live environments.

The role requires a Bachelor's in a related field, 4+ years of autonomous systems experience, strong Python skills, and a TS/SCI clearance. Starts anticipated September 2026; compensation reflects market ranges.