TSAutonomy Engineer

Job Summary

Position Title:

Autonomy Engineer

Requisition
Location(s):
Hybrid;
Greater Denver Metro Area, CO;
Northern, VA
Final date to receive applications:
April 30, 2026

• Bachelor’s degree or higher in Computer/Data Science or related field.
• Experience implementing, applying, and analyzing behavior of reinforcement learning algorithms
• Experience with reinforcement learning libraries such as RLLib and Gym
• Ability to work with Git version control
• An Active Top Secret/SCI Security Clearance

• Experience working with large code bases with multiple interacting components
• Experience with development in Python
• Familiarity with Raspberry Pi system and hardware testing
• Experience with space-based hardware and software
• Masters degree or working towards a Masters Degree in Computer Science or Data Science
• Demonstrated ability of technical writing for previous research or projects
• Experience with implementation or analysis of autonomous systems in any domain. These domains can be robotics, drones, etc.

Salary Range:
The salary range for this role is $140,000-$190,000. This range is a general guideline and can vary. Trusted Space, LLC considers several factors when extending an offer including, but not limited to: scope, location, position responsibilities, education/training, key skills and business considerations.

Benefits:
We offer competitive compensation and benefits including medical, dental, and vision plans; life and accidental death & dismemberment insurance; 401(k) plan; paid holidays and generous paid time off; short-term and long-term disability insurance; and other benefits to promote health, wellness, and a positive work-life balance.

Trusted Space, LLC is an Equal Opportunity Employer. We do not discriminate based on race, religion, color, sex, gender, gender identity, sexual orientation, age, marital status, national origin, veteran status, disability status, or any other status protected under federal, state, or local law. All aspects of employment are decided based on qualifications, merit, competence, performance, and business need.