Job Description
A new space race has begun. True Anomaly seeks those with the talent and ambition to build innovative technology that solves the next generation of engineering manufacturing and operational challenges for space security and sustainability.
OUR MISSION
The peaceful use of space is essential for continued prosperity on Earth—from communications and finance to navigation and logistics. True Anomaly builds innovative technology at the intersection of spacecraft software and AI to enhance the capabilities of the U.S. its allies and commercial partners. We safeguard global security by ensuring space access and sustainability for all.
OUR VALUES
- Be the offset. We create asymmetric advantages with creativity and ingenuity
- What would it take? We challenge assumptions to deliver ambitious results
- It’s the people. Our team is our competitive advantage and we are better together
YOUR MISSION
As a key member of the Applied Algorithms and Autonomy team you will be responsible for developing and implementing True Anomaly’s autonomy roadmap. You will work with a talented cross-functional team to advance cutting-edge technology at the intersection of artificial intelligence machine learning and classical optimization. This will involve executing across various areas including vehicle autonomy mission planning wargaming threat implication and uncooperative RPO capabilities. You are a first principles engineer and will have ownership of the future of autonomy at True Anomaly.
RESPONSIBILITIES
- Design and develop advanced AI optimization and machine learning infrastructure to support the company's autonomous systems
- Research develop and implement game-changing AI and optimization algorithms with the reliability and robustness required for space deployment
- Collaborate with leadership to define and roadmap future autonomy capabilities aligned with company strategic objectives
QUALIFICATIONS
- Bachelor’s degree in computer science robotics aerospace or a similar discipline
- Proficient in C/C++ and Python
- Strong understanding of statistics optimization and reasoning under uncertainty
- 2+ years of experience with implementing algorithms for autonomous planning and decision-making deployed in real-world systems
- Demonstrated ability to work in a multidisciplinary team and solve complex problems with first principles approaches
- Passion for spaceflight and advancing capabilities related to space domain awareness and space security
- Track record of solving complex problems in autonomy in a fast-moving team
- U.S. Citizen and eligible for DoD Secret or TS/SCI clearance
PREFERRED SKILLS AND EXPERIENCE
- Master’s or PhD in computer science robotics aerospace or a similar discipline
- 2+ years of professional experience writing high-reliability production C/C++ code
- Experience with edge computing and real-time processing constraints
- Background in Aerospace and Orbital Mechanics
- Deep technical expertise in one or more of the following: convex optimization dynamic programming search algorithms reinforcement learning decision theory
COMPENSATION
- Colorado Base Salary: $105000 - $155000
- California Base Salary: $110000 - $165000
- Equity + Benefits including Health Dental Vision HRA/HSA options PTO and paid holidays 401K Parental Leave
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills education location and experience.
ADDITIONAL REQUIREMENTS
- Work Location— this is a fully onsite role. Candidates must be based in or able to commute to our Denver or Long Beach office daily.
- Work environment—the work environment; temperature noise level inside or outside or other factors that will affect the person's working conditions while performing the job.
- Physical demands—the physical demands of the job including bending sitting lifting and driving.
This position will be open until it is successfully filled. To submit your application please follow the directions below.
#LI-Onsite
To conform to U.S. Government space technology export regulations including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen lawful permanent resident of the U.S. protected individual as defined by 8 U.S.C. 1324b(a)(3) or eligible to obtain the required authorizations from the U.S. Department of State.
True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation please do not hesitate to let us.
Top Skills
What We Do
Space was once the quietest place in the universe. Now it's crowded contested and confrontational. We are True Anomaly: the only defense company focused exclusively on space defense. Founded in 2022 by ex-U.S. Space Force members True Anomaly designs and builds advanced systems for space superiority: agile and powerful spacecraft platforms mission software engineered for unmatched command and control and payloads tailored for precision sensing and effects. True Anomaly is headquartered in Centennial CO with regional offices in Colorado Springs CO Long Beach CA and Washington D.C. We are hiring and seeking exceptional talent to join True Anomaly from any technical industry or background to bring unique talents perspective and solutions. If you embrace complexity lead instead of follow showcase integrity over ego take ownership for outcomes and measure success by impact we want to hear from you.
Why Work With Us
True Anomaly exists to enable a secure stable and sustainable space environment for the US its allies and partners. We design and build spacecraft and software solutions for space superiority. If you are ready to contribute to the future of space defense we’d love to hear from you.
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True Anomaly Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We are a hybrid office culture. Our employees work from offices in Denver Colorado Springs Los Angeles and Washington D.C. We recognize the importance of in-office collaboration but also the value of a flexible work and location requirements




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Date Posted
04/26/2026
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