Space Autonomy Engineering Manager

Menlo Ventures; Laguna Beach (CA); On-site; USD 205,000 - 315,000; Full time

Job summary

True Anomaly seeks an Engineering Manager, Autonomy, to build and lead a team that develops multi-agent resource allocation systems and edge-deployed AI for spacecraft operations. You will mentor engineers, drive strategy, and ensure delivery within compute and latency constraints while enabling continuous learning.

Your role emphasizes people leadership, architecture reviews, and maintaining credibility with the team, while aligning with the autonomy roadmap across scheduling, replanning, and

Qualifications

• 8+ years in autonomous systems, robotics, AI/ML, or aerospace engineering.
• 4+ years in people management leading teams of 4+ engineers.
• Proven ability to lead through influence and deliver results
• Strong foundation in autonomy, with credibility in OR/RL/planning

Responsibilities

• Provide technical direction on multi-agent coordination and edge deployment for spacecraft operations.
• Review and approve designs for optimization, planning, and distributed coordination.
• Lead the team in design, implementation, and verification; ~35% time.
• Define autonomy standards, validation, and explainability for high-stakes deployments.
• Drive compute allocation, edge optimization, and real-time performance trade-offs.
• Maintain credibility in OR, RL, and edge AI deployment

Skills

Autonomous systems

Multi-agent coordination

Reinforcement learning

Constrained planning

Edge AI deployment

Operations research

Leadership

Education

Master's degree or PhD in relevant field

Job description

True Anomaly seeks an Engineering Manager, Autonomy, to build and lead a team that develops multi-agent resource allocation systems and edge-deployed AI for spacecraft operations. You will mentor engineers, drive strategy, and ensure delivery within compute and latency constraints while enabling continuous learning.

Your role emphasizes people leadership, architecture reviews, and maintaining credibility with the team, while aligning with the autonomy roadmap across scheduling, replanning, and