Computer Vision Engineer

TEEMA Solutions Group; San Diego (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

A technology solutions provider in California is seeking a Computer Vision Engineer to design and implement real-time vision systems. Your responsibilities will include developing algorithms for object detection and tracking, processing multi-camera data, and collaborating with teams to optimize integration in embedded systems. The ideal candidate will have at least 3 years of computer vision experience, strong Python skills, and a solid understanding of camera calibration and multi-camera systems.

Qualifications

• 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 and calibration.

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.

Skills

Python

OpenCV

Computer Vision

3D Reconstruction

GPU Programming

Education

Bachelor’s or Master’s in Computer Science, Computer Engineering, or Electrical Engineering

Tools

Docker

Azure ML

TensorFlow

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)

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

Docker and containerized ML workflows

Azure ML DevOps pipelines for automated training and deployment