Engineering Manager, Autonomy at Trueanomalyinc · LumiJobs

Qualification

EducationExperiencePeople ManagementLeadershipTechnical FoundationDomain KnowledgeCommunicationStrategic ThinkingProcess & ExecutionCollaborationClearanceTrack record delivering complex

Required

Education:Master's degree in computer science, aerospace engineering, robotics, applied mathematics, operations research, or related technical field; Ph.D. or Bachelor's degree with equivalent professional experience also accepted
Experience:8+ years of experience in autonomous systems, robotics, AI/ML, or aerospace engineering with at least 4 years in people management, leading teams of 4+ engineers
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

Preferred

Experience managing geographically distributed or hybrid teams
Experience managing teams through full product development lifecycles from early prototypes through operational deployment
Track record delivering complex, multi-quarter initiatives requiring coordination across multiple teams and hardware/software integration
Experience with agile methodologies, sprint planning, and iterative delivery in engineering environments
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
Experience with edge AI deployment: model compression, quantization, inference optimization, embedded ML systems, or real-time neural network execution

Engineering Manager, Autonomy

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Trueanomalyinc

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