Hiring: Engineering Manager, Autonomy Company: True Anomaly Location: Long Beach, CA Job Posted Time: 2026-09-03 10:29:04 Employment Type: Hybrid Target Skills & Keywords : Agile, Embedded Systems, Reinforcement Learning About the job Experience: •Track record delivering complex, multi-quarter initiatives requiring coordination across multiple teams and hardware/software integration •Background in autonomous aerospace systems: UAVs, spacecraft autonomy, robotic systems, or similar applications •Deep experience with operations research: mixed-integer programming, constraint satisfaction, graph optimization, auction algorithms, or task allocation •Background in multi-agent reinforcement learning: MARL, policy learning, reward shaping, credit assignment, or cooperative game theory •Background in stochastic optimization, robust planning under uncertainty, or Monte Carlo methods for decision-making Required Skills: •Provide technical direction on multi-agent coordination architectures, edge deployment strategies, and validation approaches for constrained optimization problems in spacecraft operations •Review and approve technical designs for combinatorial optimization algorithms, stochastic planning systems, and distributed coordination protocols •Participate in all aspects of a project's development lifecycle, including design, implementation, and verification. Lead the team by example, setting the standard for technical work (approximately 35% of time) •Define autonomy standards, explainability requirements, and validation approaches that enable deployment in high-stakes environments •Drive technical decisions on compute allocation, edge optimization strategies, and real-time performance trade-offs •Maintain technical credibility in operations research, reinforcement learning, and edge AI deployment •Define and own the team roadmap in collaboration with autonomy leadership, balancing near-term delivery (flight demonstrations, customer test campaigns) with long-term capability development (continuous learning, end-to-end neural planning) •Translate organizational strategy and technical vision into actionable team objectives aligned to customer missions Qualifications: •People Management:Demonstrated track record of building, growing, and developing high-performing engineering teams including hiring, performance management, and career development •Leadership:Proven ability to lead through influence, manage stakeholder expectations, drive execution in ambiguous environments, and deliver results through others •Technical Foundation:Strong foundation in autonomous systems with depth in areas such as multi-agent coordination, combinatorial optimization, reinforcement learning, or constrained planning (sufficient to provide technical oversight and credibility) •Domain Knowledge:Experience with real-time planning systems, resource-constrained deployment, or aerospace applications where autonomy operates under strict compute, latency, and power constraints •Communication:Exceptional written and verbal communication skills with ability to influence senior leadership, translate between technical and non-technical audiences, and represent the team effectively •Strategic Thinking:Ability to translate organizational objectives into team strategy, prioritize competing demands, and make trade-offs that balance technical excellence with delivery •Process & Execution:Track record of defining processes, establishing team norms, and driving execution excellence in fast-paced environments •Collaboration:Strong cross-functional collaboration skills with ability to build relationships, resolve conflicts, and drive consensus across hardware, software, and trajectory planning teams •Clearance:U.S. Citizen and eligible for government security clearance •Work Location—Successful candidates will be located near Denver, CO or Long Beach, CA. Compensation: •$205,000 - $315,000 / year •Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!