AI Perception & Computer Vision Engineer
About The Position
The Perception & Computer Vision Engineer develops and deploys the object perception systems that enable our robots to recognize, locate, and interact with parts, tooling, pallets, and other objects in the factory. The role involves configuring and fine-tuning 3D object detection and pose estimation models using commercially available frameworks (NVIDIA Isaac Perceptor, FoundationPose, OpenCV), integrating camera and LIDAR sensors, and building perception pipelines that provide actionable 3D position and orientation data to navigation and manipulation systems. Objects range from standard pallets to one-of-a-kind composite tooling weighing up to 50,000 lb.
Requirements
- Bachelor’s degree in Computer Science, Mechanical Engineering, or closely related field
- Willingness to work on-site at our Sedro-Woolley or Bellingham, WA facilities
- Applicants must be a US Citizen or of Legal Permanent Resident Status as defined by 8 U.S.C. 1324b (a) (3).
- This position requires the ability to obtain a U.S. Secret Security Clearance (U.S. Citizenship Required).
- Special Access Program or other Government Access Requirements are mandatory for this position and requires candidate agreed to enter a Continuous Evaluation program.
Nice To Haves
- Experience with deep learning-based object detection and pose estimation (YOLO, PointNet, FoundationPose, etc.)
- Familiarity with 3D point cloud processing (PCL, Open3D) and depth sensors
- Experience with NVIDIA perception tools (Isaac Perceptor, TAO Toolkit, DeepStream, Jetson)
- Programming proficiency in Python and/or C++ in Linux environments
- Experience with deep learning frameworks (PyTorch, TensorFlow)
- Familiarity with ROS/ROS 2 perception pipelines
- Experience with camera calibration, multi-sensor alignment, and sensor fusion
- Experience generating synthetic training data using simulation tools (Isaac Sim, Omniverse)
- Experience with industrial inspection, manufacturing vision systems, or factory automation
- Background working with large, irregularly shaped objects rather than small consumer products
- Master’s or Ph.D. in Computer Vision, Robotics, Computer Science, or related field
Responsibilities
- Deploy and configure 3D object detection, classification, and six-degree-of-freedom pose estimation models using NVIDIA Isaac Perceptor, FoundationPose, or equivalent tools
- Integrate RGB cameras, depth cameras, and LIDAR sensors into a cohesive perception pipeline
- Collect, label, and curate training datasets of factory objects; train and validate models for reliable performance across varying lighting, viewpoints, and object types
- Design and execute multi-sensor calibration procedures (camera-to-LIDAR, camera-to-robot-frame)
- Develop automated testing and monitoring for perception accuracy and reliability in production
- Evaluate new perception technologies, sensors, foundation models, and synthetic data generation approaches
- Collaborate with navigation and controls engineers to ensure perception outputs drive effective robot behavior
Benefits
- Medical, Dental, and Vision insurance with employer contribution
- Disability insurance as well as Life/AD&D insurance
- HSA (Health Savings Account) with employer contribution and FSA (Flexible Savings Account)
- 401k with employer matching
- Paid time off and paid holidays (including two floating holidays)
- Education reimbursement program
- Several shift options
- Premium pay for off-shifts
- Premium pay for security clearance if applicable
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
251-500 employees
