Senior Autonomy Engineer

Reposted 6 Days Ago
Be an Early Applicant
2 Locations
In-Office
145K-260K Annually
Senior level
Aerospace • Artificial Intelligence • Hardware • Machine Learning • Software • Defense • Manufacturing
Delivering decisive capabilities for space superiority.
The Role
Design and implement algorithms for autonomy capabilities in mission planning and decision-making, collaborating with teams on real-world applications. Responsibilities include testing and debugging systems and writing clean code.
Summary Generated by Built In

Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.

OUR MISSION

True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.

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 member of the Applied Algorithms and Autonomy team, you will design, build, and deploy core autonomy capabilities for True Anomaly. You will work with a talented cross-functional team to advance technology at the intersection of artificial intelligence, machine learning, and classical optimization. This will involve hands-on development across various areas including vehicle autonomy, mission planning, wargaming, threat assessment, and uncooperative RPO capabilities. You are a first principles engineer who takes ownership of the systems you build and delivers results. 

RESPONSIBILITIES

  • Design, implement, and test algorithms that enable autonomous mission planning, tasking, and decision-making 
  • Contribute to autonomy architecture discussions and implement robust solutions informed by statistical analysis, software testing, and hardware-in-the-loop simulation 
  • Collaborate with cross-functional teams to translate requirements and stakeholder expectations into production-ready autonomy solutions 
  • Debug and tune autonomy systems through integration, testing, and deployment in real-world operational environments 
  • Write clean, well-documented, and testable code in support of autonomy capabilities 

QUALIFICATIONS

  • Bachelor's degree in computer science, robotics, aerospace engineering, electrical engineering, or a similar discipline 
  • Proficient in C/C++ and Python 
  • Strong understanding of at least one of technologies within the four pillars: 
    • Adversarial planning: classical game theory, self-play, counterfactual regret minimization, Monte Carlo tree search, behavior trees, etc. 
    • Classical optimization: MPC, trajectory optimization, dynamic programming, stochastic control, mixed integer programming, quadratic programming, etc. 
    • ML/AI: reinforcement learning, imitation learning, transformer architectures, anomaly detection, classification/regression, behavior modeling, etc. 
    • Multi-Agent Control: multi-agent coordination, consensus algorithms, networked control systems, communication-aware planning, fault detection & isolation 
  • Solid foundation in statistics, optimization, and decision-making under uncertainty 
  • 4+ years of experience implementing algorithms to support 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 

PREFERRED SKILLS AND EXPERIENCE

  • Master's or PhD in computer science, robotics, aerospace engineering, electrical engineering, or a similar discipline 
  • Experience writing high-reliability, production C/C++ code 
  • Experience with edge computing and real-time processing constraints 
  • Experience with space systems (orbital mechanics, GNC, spacecraft operations) 
  • Familiarity with probabilistic reasoning, state estimation (EKF/UKF, particle filters), and planning under uncertainty 
  • Background in verification/validation of autonomous systems for certification or operational deployment 
  • A understanding of how game theory, optimization and AI can be fused together.

COMPENSATION

  • Base Salary: $170,000 - $290,000
  • 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.


True Anomaly Compensation & Benefits Highlights

  • Affordable Benefits Employer-paid healthcare is described as fully covered with no employee premiums, reducing paycheck deductions. Dental and vision coverage alongside HSA/HRA/FSA options further help manage out-of-pocket medical costs.
  • Leave & Time Off Breadth Time off is characterized as generous, including a substantial PTO allotment plus U.S. holidays. Flexible time-off policies and hybrid scheduling further support recharge and flexibility.
  • Parental & Family Support Parental leave is described as generous, and a dedicated mother’s room is provided. These provisions indicate tangible support for growing families.

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The Company
HQ: Centennial, CO
300 Employees
Year Founded: 2022

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

Typical time on-site: Not Specified
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Mission Operations
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Engineering and Manufacturing
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Government Affairs and Sales
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