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

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

• Build the roadmap for integrating increased autonomy capability into the next generation of Jackal spacecraft and Mosaic ground software 
• Collaborate with cross-functional teams to translate requirements and stakeholder expectations into actionable strategies for autonomy implementation 
• Drive the autonomy architecture and design, implement, and verify robust algorithms that enable autonomous spacecraft planning, tasking, and decision-making 
• Test and verify your algorithms via statistical analysis, software testing, and hardware in the loop simulation 

QUALIFICATIONS

• Bachelor’s degree in computer science, robotics, or a similar discipline 
• Proficient in C/C++ and Python 
• Strong understanding of statistics, optimization, and reasoning under uncertainty 
• 8+ 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 

PREFERRED SKILLS AND EXPERIENCE

• Master’s or PhD in computer science, robotics, or a similar discipline 
• 4+ years of professional experience writing high-reliability, production C/C++ code 
• Experience with edge computing and real-time processing constraints 
• Deep technical expertise in one or more of the following: convex optimization, dynamic programming, search algorithms, reinforcement learning, decision theory 

COMPENSATION

• Base Salary: $230,000 - $390,000
• 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

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

• Base Salary: $95,000 - $175,000
• 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

YOUR MISSION

Autonomy isn't a feature at True Anomaly, it's our competitive advantage. In space-to-space operations, victory is measured in milliseconds. When spacecraft operate in contested, unpredictable environments beyond reliable communication range, autonomous decision-making becomes the difference between mission success and failure. Human-in-the-loop isn't fast enough. Pre-programmed responses aren't adaptive enough. 

As Head of Autonomy, you'll define and scale the technical vision that enables our spacecraft to act, not react. You'll build systems that make optimal decisions under uncertainty in close-proximity operations, anticipate adversary behavior, and execute maneuvers without waiting for ground commands. This role owns the autonomy roadmap end-to-end, from foundational algorithms to flight-certified systems deployed across multiple product lines. 

You'll lead a small, elite team and shape how we design, validate, and deploy autonomous capabilities that outpace any competitor or adversary. 

RESPONSIBILITIES 

• Own the autonomy vision and technical roadmap for all True Anomaly products, translating strategic objectives into concrete algorithmic capabilities and delivery milestones 
• Build autonomous decision-making systems for close-proximity space operations in contested environments where communication delays, sensor uncertainty, and adversary adaptation demand real-time intelligence 
• Develop game-theoretic frameworks for multi-agent space scenarios, modeling adversary behavior, optimal response strategies, and equilibrium concepts for space domain awareness and defensive operations 
• Integrate machine learning where it provides measurable advantages such as Multi Agent collaboration, anomaly detection, pattern recognition, and adaptive behavior, while maintaining the rigor and reliability required for safety-critical spaceflight 
• Recruit and mentor a world-class autonomy team, leveraging your network to bring in specialists across game theory, optimal control, and machine learning 
• Collaborate cross-functionally with GNC, flight software, simulation, mission ops, and hardware teams to ensure autonomous algorithms integrate seamlessly into operational spacecraft 
• Drive maturation of research into flight-ready capabilities, balancing innovation with the certification requirements and risk posture of operational space systems 
• Design and implement optimal control algorithms for spacecraft maneuvering, resource allocation, and mission planning under constraints (fuel, time, sensor coverage, risk tolerance) 
• Represent True Anomaly's technical vision externally, publishing research, engaging with the autonomy community, and establishing our credibility as leaders in the field 

QUALIFICATIONS 

• Deep expertise in at least one of these three pillars, with working knowledge of the others:  
• Game theory—Nash equilibria, multi-agent systems, adversarial reasoning, differential games, or pursuit-evasion problems 
• Optimal control—MPC, trajectory optimization, Hamilton-Jacobi reachability, dynamic programming, or stochastic control 
• Modern ML/AI—reinforcement learning, imitation learning, transformer architectures, or other learning-based approaches 
• PhD in Aerospace Engineering, Computer Science, Robotics, Control Theory, Applied Mathematics, or related field (exceptional MS + extensive experience considered) 
• 8+ years developing autonomous systems for real-world applications, with at least 3 years in technical leadership 
• Demonstrated ability to ship autonomous systems  
• Proven track record recruiting, mentoring, and leading technical teams 
• Strong publication record or patents demonstrating thought leadership in autonomy, control, or multi-agent systems preferred 
• Ability to obtain a security clearance (active clearance strongly preferred) 

PREFERRED SKILLS AND EXPERIENCE 

• Experience with space systems (orbital mechanics, GNC, spacecraft operations) 
• Hands-on expertise with C++ and Python for algorithm development and embedded deployment 
• 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 
• Network of top-tier autonomy talent 
• Has written papers for research that pushed the field forward or solved hard real-world problems 
• Can articulate why game theory is essential for space operations and how optimal control enables mission success 
• Knows when to use ML and when not to and can defend both decisions technically 
• Has hired and mentored engineers who've gone on to do exceptional work 
• Thrives in ambiguity  

COMPENSATION

• Base Salary: $185,000-$395,000
• 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—ideally this role would be fully onsite at either our Centennial, CO or Long Beach, CA office but we could consider fully remote if this leader is open to travel.
• 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-Remote