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Anomaly
Actively Hiring
Space security and sustainability solutions

Engineering Manager, Perception AI

Posted: 1 week ago• Recruiter recently active
Job Location
Remote Work Policy

In office

Visa Sponsorship

Not Available

RelocationAllowed
Skills
Computer Vision
Signal Processing
Sensor Fusion
Deep Learning
Hardware
State Estimation
Simulation
Autonomy
camera calibration
Continuous Learning
Flight Software
Hardware-in-the-loop Testing
Synthetic Data
Generative AI
Real-World Data
Generative AI Systems
Real-Time Performance
Classical Computer Vision
Physics-Based Simulation
Operational Data
Classical Algorithms
Multi-Modal Fusion
Camera Control
Sensor Fusion Pipelines
World Models
Multi-Target Tracking
Multi-Target Tracking Algorithms
Validation Approaches
World Model Architectures
Learned Representations
Edge Deployment Strategies
Photorealistic Synthetic Video Generation
Perception AI Systems
Model Compression Strategies
Perception AI Standards
Resource-Constrained Deployment
Decoy Discrimination
Edge-Deployed Object Detection
Classical Perception

About the job

Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.

OUR MISSION

True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.

OUR VALUES

  • Be the offset. We create asymmetric advantages with creativity and ingenuity.
  • What would it take? We challenge assumptions to deliver ambitious results.
  • It’s the people. Our team is our competitive advantage and we are better together.

YOUR MISSION

Build and lead the perception AI team that enables autonomous spacecraft operations in complex operational environments. Your team will develop world models and generative AI for photorealistic synthetic training data, multi-target tracking and sensor fusion for object discrimination, edge-deployed AI models for on-orbit operations, and camera calibration systems maintaining performance through environmental variations. You will grow the team from 2 to 7 engineers across five work streams: world models and generative AI for synthetic video generation, multi-target tracking with clutter and decoy discrimination, signal processing and multi-sensor fusion, camera control with online auto-calibration, and edge-deployed object detection. You will define validation standards bridging synthetic data, simulation, hardware-in-the-loop testing, and operational acceptance. Your team will deliver perception AI systems that track satellites through occlusions and complex maneuvers, discriminate objects from decoys against Earth background clutter, and maintain custody for months without ground intervention. This is perception AI engineering where algorithms operate under spacecraft compute and power budgets, mistakes have operational consequences, and systems enable critical space operations.

RESPONSIBILITIES

Technical Oversight & Strategic Contributions

  • Provide technical direction on world model architectures for photorealistic synthetic video generation, perception AI systems combining classical computer vision with modern deep learning, and edge deployment strategies
  • Review and approve technical designs for generative AI systems, multi-target tracking algorithms, sensor fusion pipelines, and model compression strategies
  • Lead by example, setting the standard for technical work across design, implementation, and verification (approximately 50% of time)
  • Define perception AI standards, validation approaches bridging synthetic and real-world data, and hardware-in-the-loop testing protocols
  • Drive technical decisions on when to use physics-based simulation versus generative AI for synthetic data, when classical algorithms excel versus learned representations, and real-time performance trade-offs
  • Maintain technical credibility in generative AI for synthetic data, computer vision, state estimation, and resource-constrained deployment

Strategic Planning & Execution

  • Define and own the team roadmap in collaboration with perception AI leadership, balancing near-term delivery with long-term capability development across world models, multi-modal fusion, and continuous learning from operational and synthetic data
  • Translate organizational strategy into actionable team objectives aligned to defense and commercial customer missions
  • Prioritize work across competing demands: photorealistic synthetic video generation, multi-target tracking with decoy discrimination, signal processing and sensor fusion, camera calibration and control, edge-deployed object detection
  • Manage dependencies and coordinate with flight software, hardware, autonomy, and simulation teams for successful cross-functional delivery
  • Track and communicate progress, risks, and blockers to leadership with focus on integration milestones and operational acceptance
  • Drive continuous improvement in processes, tools, and workflows to increase velocity from prototype to flight-ready systems
  • Work with program managers to scope projects, estimate timelines, and commit to deliverables

Team Leadership & People Management

  • Build, grow, and lead a team of perception and AI engineers through recruiting, hiring, onboarding, and retention
  • Provide direct people management including 1-on-1s, performance reviews, goal setting, and career development
  • Foster a culture of technical excellence, rigorous validation, and rapid iteration from synthetic data through simulation to flight
  • Develop individual contributors into technical leaders through mentorship and growth opportunities
  • Manage team dynamics, resolve conflicts, and ensure healthy team communication
  • Facilitate knowledge sharing, cross-training, and documentation to build team resilience
  • Bridge generative AI, classical perception, and modern deep learning approaches, guiding the team on when each paradigm applies

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.

About the company

Anomaly company logo

Anomaly

Actively Hiring
Space security and sustainability solutions51-200 Employees
Company Location
Centennial
Company Size
51-200
Learn more about Anomaly image

Funding

AMOUNT RAISED
$260M
FUNDED OVER
1 round
Round
C
$260000000
Series C - Apr 2025

Founders

Paul Graham
Founder & Managing Partner • 18 years
London
image
Jason DeLand
Founder
New York City
image
View the team image

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