Manager of Infrastructure Engineering

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., * 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, * 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, The Orbit Dynamics Engineer will design orbital maintenance strategies, perform mission analysis, develop maneuver plans, manage simulations, and collaborate with external agencies for mission coordination.

• 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.

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. The summary above was generated by AI

Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it., * Base Salary: $180,000 - $360,000

• 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., In-Office or Remote 2 Locations 200K-290K Annually Senior level 200K-290K Annually Senior level Aerospace * Artificial Intelligence * Hardware * Machine Learning * Software * Defense * Manufacturing The Senior Manager of Data Engineering will build a data platform, lead a team, and ensure data accessibility to support AI and business operations. Top Skills: AirflowBigQueryDagsterRedshiftSnowflake True Anomaly, In-Office or Remote 2 Locations 200K-290K Annually Senior level 200K-290K Annually Senior level Aerospace * Artificial Intelligence * Hardware * Machine Learning * Software * Defense * Manufacturing The Senior Manager of Infrastructure Engineering will lead the infrastructure team, design cloud environments, manage Kubernetes, and drive initiatives in classified and unclassified settings. Top Skills: AnsibleAWSAzureCi/CdGovcloudKubernetesTerraform

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute