You have:

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.
• 3–5+ years of experience in computer vision, preferably in a real-time, product-focused environment.
• Strong proficiency in C++ and Python, with experience using OpenCV or similar vision libraries.
• Solid understanding of camera geometry, calibration (intrinsic/extrinsic), and lens distortion correction.
• Experience with multi-camera setups, stereo vision, or 3D reconstruction.
• Familiarity with object detection/tracking techniques (e.g., optical flow, Kalman filters, background subtraction, deep learning-based methods).
• Knowledge of real-time optimization techniques, parallel processing, or embedded CV deployment.

You may have:

• Experience with machine learning frameworks (e.g., PyTorch, TensorFlow) for CV applications.
• Familiarity with OpenGL, CUDA, or GPU programming for acceleration.
• Knowledge of golf dynamics or sports motion tracking is a plus.
• Experience working on embedded systems or with real-time video processing pipelines.
• Exposure to MATLAB or ROS is beneficial for prototyping and testing.
• Hands-on experience with Azure Machine Learning (workspaces, compute clusters, datastores, and experiment tracking).
• Familiarity with Docker and Docker Compose for containerized ML tooling
  deployment on cloud VMs.
• Experience with Azure DevOps pipelines for automating ML training, evaluation, and model registration workflows.

Pay Range:

Annual Salary: $112,000.00 - $130,000.00

The actual annual salary offered to a candidate will be based on variables including experience, geographic location, education, and skills/achievements, and will be mutually agreed upon at the time of offer.

We offer a highly competitive salary, comprehensive benefits including: medical and dental, vision, disability and life insurance, 401K, PTO, paid holidays, gear discounts and the ability to add value to an exciting mission!

Our Postings are not intended for distribution to or use in any jurisdiction, country or territory where such distribution or use would violate local law or would subject us to any regulations in another jurisdiction, country or territory. We reserve the right to limit our Postings in any jurisdiction, country or territory.

Equal Opportunity Employer Protected Veteran/Disabled