About this opportunity
True Anomaly lists this Autonomy Engineer, Ops Research (Senior - Principal) opportunity in long beach, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Autonomy Engineer, Ops Research (Senior - Principal)
Denver, CO or Long Beach, CA
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 fleet scheduling, 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, andvalidateoptimization algorithms for fleet-level mission planning, resource allocation, and sequential decision-making under uncertainty
Contribute to system architecture for large-scale distributed optimization problems, informed by statistical modeling, simulation-based analysis, and operational constraints
Collaborate with cross-functional teams to formalize stakeholder requirements into mathematical programs and deploy scalable solutions
Tune andvalidateoptimization models through simulation, hardware-in-the-loop testing, and operational deployment
Develop production-quality implementations with rigorous documentation and testing
QUALIFICATIONS
Bachelor's degree in operations research, applied mathematics, computer science, aerospace engineering, electrical engineering, or related quantitative discipline, plus 8-11 years of experience; or a Master's degree in one of these fields with 6 years of experience; or a PhD with 3 years of experience.
Proficient in C/C++ and Python for implementing optimization solvers and numerical methods
Strongexpertisein at least one domain:
Adversarial optimization: game theory, Nash equilibria, minimax optimization, sequential games, adversarial search
Mathematical programming: model predictive control, trajectory optimization, dynamic programming, stochastic control, mixed-integer programming, convex optimization
Statistical learning: reinforcement learning, online learning, classification/regression under uncertainty, anomaly detection, predictive modeling
Distributed optimization: fleet coordination, consensus protocols, multi-agent resource allocation, network flow optimization, decentralized control
Solid foundation in probability theory, optimization, and stochastic decision processes
4+ years implementing and deploying optimization algorithms in operational systems with real-world constraints
Demonstrated ability to formulate complex problems as tractable mathematical programs and collaborate across disciplines
Passion for space operations and advancing capabilities in space domain awareness
PREFERRED SKILLS AND EXPERIENCE
Master's or PhD in operations research, applied mathematics, computer science, aerospace engineering, or related discipline
Experience with high-performance numerical computing and production-grade solver implementations
Familiarity with edge computing constraints and real-time optimization under latency bounds
Background in astrodynamics, orbital mechanics, or spacecraft operations
Experience with Bayesian inference, state estimation (Kalman filtering, particle methods), and planning under partial observability
Track recordin verification/validation of mission-critical optimization systems
Understanding of how game-theoretic, optimization, and learning-based approaches compose for robust decision-making
COMPENSATION
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.
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.
To conform to U.S. Government space technology export regulations, including the ITAR, you must be a U.S. citizen, lawful permanent resident of the U.S. (i.e., current Green Card holder), lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State. Are you currently a U.S. Person as described above, or otherwise eligible to obtain the required authorization? * Select...
If other, please provide details as it relates to ITAR eligibility. Answer N/A if not applicable. *
Do you need, or will you need in the future, any immigration related support or sponsorship from True Anomaly in order to begin or continue employment with True Anomaly? This includes support (such as J-1, F-1, CPT letter or STEM OPT Training Plan), visa sponsorship for employment (H-1B, H-1B1, E-1, O-1, or TN), and any EAD holders that will need longer term employment authorization (temporary work visa or permanent residency). * Select...
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Worksite address
long beach, CA, 90899, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.