Engineering Manager, Perception AI

Team Leadership & People Management

QUALIFICATIONS

• - 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
• 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
• 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 perception AI with depth in synthetic data generation, multi-object tracking, sensor fusion, or edge AI deployment (sufficient for technical oversight and credibility)
• Domain Knowledge: Experience with resource-constrained perception AI deployment, real-time vision systems, or aerospace applications operating under strict compute, power, and thermal budgets
• 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
• Process & Execution: Track record defining processes, establishing team norms, and driving execution excellence in fast-paced environments
• Collaboration: Strong cross-functional collaboration with ability to build relationships, resolve conflicts, and drive consensus across autonomy, flight software, hardware, and simulation teams
• Clearance: U.S. Citizen and eligible for government security clearance

PREFERRED SKILLS AND EXPERIENCE

• 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
• Prior work with defense or space missions: object discrimination, space situational awareness, rendezvous and proximity operations
• Background in autonomous aerospace systems: spacecraft autonomy, UAVs, robotic systems, or defense applications
• Experience managing geographically distributed or hybrid teams through full product development lifecycles
• 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 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

COMPENSATION

• Base Salary: $205,000 to $315,000
• Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave
• Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience.

ADDITIONAL REQUIREMENTS

• Work Location —Successful candidates will be located near Denver, CO or Long Beach, CA.
• Work environment —the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
• Physical demands —the physical demands of the job, including bending, sitting, lifting and driving.
• This position will be open until it is successfully filled. To submit your application, please follow the directions below.
• #LI-Onsite
• To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
• True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.