Computer Vision Engineer

Lynn Rodens; San Diego (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

Lynn Rodens in San Diego is seeking a skilled computer vision engineer to develop real-time algorithms that power advanced tracking and simulation technology. The role encompasses designing and implementing computer vision solutions with a focus on high-speed, multi-camera data in an integrated hardware environment. Ideal candidates will possess a Bachelor’s or Master’s in a relevant field and have over 3 years of experience in product-focused computer vision roles, strong Python skills, and knowledge of camera systems and optimization techniques.

Qualifications

• 3+ years of computer vision experience in real-time, product-focused environments.
• Solid understanding of camera geometry and calibration.
• Experience with tracking techniques and parallel processing.

Responsibilities

• Develop real-time algorithms for object detection and tracking.
• Process multi-camera data to generate accurate 3D trajectories.
• Collaborate with teams to integrate vision pipelines into systems.
• Optimize performance using multithreading and GPU acceleration.
• Document algorithms and maintain MLOps tools.

Skills

Computer Vision

Python

OpenCV

Real-time optimization

Multi-camera systems

GPU programming

Education

Bachelor’s or Master’s in Computer Science or related field

Tools

Azure ML

Docker

Job description

Join a fast-moving team building real-time vision systems that power advanced tracking and simulation technology. In this role, you will design and implement computer vision solutions that track objects and motion using high-speed, multi-camera data in a hardware-integrated environment.

What You’ll Do

• Develop real-time algorithms for object detection, tracking, pose estimation, and motion analysis
• Process high-frame-rate, multi-camera data to generate accurate 3D trajectories and impact insights
• Collaborate with hardware, firmware, and simulation teams to integrate vision pipelines into embedded and desktop systems
• Optimize performance using multithreading, SIMD, and GPU acceleration
• Apply camera calibration, stereo vision, and sensor fusion for precise spatial modeling
• Prototype new concepts, evaluate sensors, and support field testing
• Write clean, testable code with unit and integration testing
• Document algorithms, workflows, and data pipelines
• Support ML workflows including dataset versioning, experiment tracking, and deployment (Azure ML)
• Maintain MLOps tools (e.g., CVAT, training pipelines, evaluation workflows)

Required Qualifications

• Bachelor’s or Master’s in Computer Science, Computer Engineering, Electrical Engineering, or related field
• 3+ years of computer vision experience in real-time, product-focused environments
• Strong Python skills with OpenCV or similar libraries
• Solid understanding of camera geometry, calibration, and lens distortion correction
• Experience with multi-camera systems, stereo vision, or 3D reconstruction
• Knowledge of tracking techniques (optical flow, Kalman filters, background subtraction, deep learning)
• Experience with real-time optimization, parallel processing, or embedded CV deployment

Preferred Qualifications

• C++, PyTorch, or TensorFlow experience
• GPU programming (CUDA/OpenGL)
• Embedded systems or real-time video pipelines
• MATLAB or ROS exposure
• Azure ML (workspaces, compute, experiment tracking)
• Docker and containerized ML workflows
• Azure ML DevOps pipelines for automated training and deployment