Job DescriptionComputer Vision EngineerJOB OVERVIEWAs a Computer Vision Engineer at Foresight Sports, you'll design and implement vision-based systems that enable real-time tracking of golf balls, club heads, and player motion using high-speed camera data. Your work will directly power the core functionality of our flagship launch monitors and simulation products. This role blends algorithm development, machine vision, and performance optimization in a fast-paced, hardware-integrated environment.
This position reports to the
Firmware Engineer Manager and is based in our San Diego headquarters.
As a Computer Vision Engineer you will have an opportunity to:- Develop and implement real-time computer vision algorithms for object detection, tracking, pose estimation, and motion analysis.
- Work with high-frame-rate, multi-camera systems to extract 3D trajectory and impact data for golf ball and club head tracking.
- Collaborate with hardware, firmware, and simulation teams to integrate vision pipelines with embedded and desktop systems.
- Optimize code performance for real-time constraints using SIMD, GPU, or multithreading techniques.
- Apply image calibration, stereo vision, and sensor fusion techniques for accurate spatial modeling.
- Prototype and test new vision concepts, evaluate image sensor performance, and contribute to field trials.
- Write clean, modular, and testable code with unit and integration tests.
- Maintain detailed documentation of vision algorithms, workflows, and data pipelines.
- Support ML workflows including dataset versioning, experiment tracking, and model deployment on Azure ML infrastructure.
- Maintain and extend MLOps tooling - annotation pipelines (CVAT), training jobs, and model evaluation workflows.
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!
