Engineering Manager (Perception AI)

Join True Anomaly, a pioneering space security company, as an Engineering Manager (Perception AI). In this role, you will build and lead a team focused on developing perception AI systems for autonomous spacecraft operations. You will define validation standards, drive technical decisions, and manage team dynamics while fostering a culture of technical excellence. Enjoy benefits such as 100% employer-sponsored healthcare, generous time off, equity options, and learning and development opportunities.

• Construire et diriger l'équipe d'IA de perception qui permet les opérations de vaisseaux spatiaux autonomes dans des environnements opérationnels complexes.
• Développer des modèles du monde et de l'IA générative pour des données d'entraînement synthétiques photoréalistes, le suivi multi-cibles et la fusion de capteurs.
• Définir les normes de validation reliant les données synthétiques, la simulation, les tests en boucle matérielle et l'acceptation opérationnelle.

• Education: Master's degree in computer science, robotics, electrical engineering, aerospace engineering, or related technical field; Ph.D. or Bachelor's degree with equivalent professional experience also accepted
• Collaboration: Strong cross-functional collaboration with ability to build relationships, resolve conflicts, and drive consensus across autonomy, flight software, hardware, and simulation teams
• Communication: Exceptional communication skills with ability to influence senior leadership, translate between technical and non-technical audiences, and represent the team effectively
• Strategic Thinking: Translate organizational objectives into team strategy, prioritize competing demands, and balance technical excellence with delivery
• People Management: Demonstrated track record of building, growing, and developing high-performing engineering teams including hiring, performance management, and career development
• Process & Execution: Track record defining processes, establishing team norms, and driving execution excellence in fast-paced environments
• Technical Foundation: Strong foundation in perception AI with depth in synthetic data generation, multi-object tracking, sensor fusion, or edge AI deployment (sufficient for technical oversight and credibility)
• Experience: 8+ years of experience in computer vision, robotics, autonomous systems, or perception AI engineering with at least 4-5 years in people management, leading teams of 4+ engineers
• Clearance: U.S. Citizen and eligible for government security clearance
• Domain Knowledge: Experience with resource-constrained perception AI deployment, real-time vision systems, or aerospace applications operating under strict compute, power, and thermal budgets
• Leadership: Proven ability to lead through influence, manage stakeholder expectations, drive execution in ambiguous environments, and deliver results through others
• Prior work with synthetic data generation: generative AI for photorealistic video synthesis, rendering pipelines (Blender, Unreal), domain randomization, sim-to-real transfer
• Experience with world models and physics-based simulation: sensor phenomenology frameworks, multi-modal data synthesis
• Experience with deep learning for perception AI: object detection (YOLO, Faster R-CNN), classification, semantic segmentation, vision transformers
• Deep experience with multi-object tracking: data association algorithms (Hungarian, JPDA, MHT), Kalman filtering (EKF, UKF, IMM), track management logic
• Background in sensor fusion: multi-modal perception AI (optical, thermal, LIDAR), time synchronization, covariance intersection, information-theoretic fusion
• Experience with edge AI deployment: model compression (quantization, pruning, distillation), ONNX/TensorRT optimization, inference on embedded systems
• Background in classical computer vision: camera calibration, coordinate transformations, structure from motion, pose estimation
• Background in signal processing: sensor phenomenology, radiometry, SNR analysis, adaptive filtering, multi-spectral processing
• Experience with flight software integration: safety-critical systems, deterministic execution, hardware-in-the-loop validation
• Background in autonomous aerospace systems: spacecraft autonomy, UAVs, robotic systems, or defense applications
• Prior work with defense or space missions: object discrimination, space situational awareness, rendezvous and proximity operations
• Track record delivering complex, multi-quarter initiatives requiring coordination across multiple teams and hardware/software integration
• Experience managing geographically distributed or hybrid teams through full product development lifecycles
• Experience with agile methodologies, sprint planning, and iterative delivery in engineering environments
• Background partnering with product management to define requirements and prioritize features based on technical leverage
• Experience with resource planning, capacity modeling, and headcount justification
• Prior work bridging research prototypes (CVPR/ICCV/ICRA-quality) to production systems with emphasis on reliability and operational deployment