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