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3D Computer Vision Jobs in California (NOW HIRING)

Position Overview We are seeking a Computer Vision AI & ML Engineer to design, build, and deploy ... Knowledge of 3D geometry, sensor processing, or multi-sensor fusion (RGB-D, LiDAR, stereo)

... 3D reconstruction and deep learning * - To design, implement, and deploy full-stack computer vision and machine learning solutions Detailed s * - Deep Learning Network Training and Deployment to wide ...

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $150K/yr

... 3D scene understanding using multi-modal sensor data. • Build scalable pipelines for data ... computer vision tasks such as detection, depth estimation, segmentation, tracking, or 3D scene ...

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $149K/yr

Position Overview We are seeking a Computer Vision AI & ML Engineer to design, build, and deploy ... Knowledge of 3D geometry, sensor processing, or multi-sensor fusion (RGB-D, LiDAR, stereo)

Experience in 3D computer vision and video analytics algorithms, such as image segmentation, 3d reconstruction, object and motion detection, tracking and classification * Experience in machine ...

... depth sensing, 3D stereo and volumetric reconstruction, 2D / 3D medical imaging segmentation ... Skilled in at least one programming language used in Computer Vision (e.g. Python and/or C ...

Experience in 3D computer vision and video analytics algorithms, such as image segmentation, 3d reconstruction, object and motion detection, tracking and classification * Experience in machine ...

Experience in 3D computer vision and video analytics algorithms, such as image segmentation, 3d reconstruction, object and motion detection, tracking and classification * Experience in machine ...

... depth sensing, 3D stereo and volumetric reconstruction, 2D / 3D medical imaging segmentation ... Skilled in at least one programming language used in Computer Vision (e.g. Python and/or C ...

Computer Vision Engineer V

Sunnyvale, CA · On-site

$132K - $156K/yr

... the field of computer vision, machine learning, and image processing, or ISP sensors. • ... OpenCV, Eigen, Halide, Game physics and 3D graphics, CODECs, or Communication) • Prior experience ...

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3D Computer Vision information

What is 3D computer vision?

3D computer vision is a field within computer science and artificial intelligence that focuses on enabling computers to interpret and understand visual information from the world in three dimensions. Unlike traditional 2D computer vision, which works with flat images, 3D computer vision uses data from sources like stereo cameras, LiDAR, or depth sensors to reconstruct and analyze the shape, size, and position of objects in a scene. This technology is crucial for applications such as autonomous vehicles, robotics, augmented reality, and medical imaging. By understanding the spatial relationships between objects, 3D computer vision systems can enable machines to interact more effectively with their environment.

What are the key skills and qualifications needed to thrive as a 3D Computer Vision Engineer, and why are they important?

To thrive as a 3D Computer Vision Engineer, you need a solid background in computer vision, mathematics (especially linear algebra and geometry), and programming, often supported by a degree in computer science, engineering, or a related field. Proficiency in Python or C++, experience with libraries like OpenCV and PCL, and familiarity with deep learning frameworks such as TensorFlow or PyTorch are typically required. Strong problem-solving skills, creativity, and effective teamwork help candidates excel in developing novel algorithms and collaborating across disciplines. These skills and qualities are crucial for creating innovative 3D perception systems that meet real-world challenges and drive advancements in areas like robotics, AR/VR, and autonomous vehicles.

What are some common challenges faced by 3D Computer Vision engineers during project development?

3D Computer Vision engineers often encounter challenges such as managing noisy or incomplete data from sensors, ensuring real-time processing speeds, and integrating algorithms with various hardware platforms. Additionally, adapting solutions to diverse environments—such as changing lighting conditions or object occlusions—requires robust model design and continual testing. Collaboration with cross-functional teams, including hardware engineers and software developers, is key to overcoming these challenges and successfully deploying 3D vision applications.
What are popular job titles related to 3D Computer Vision jobs in California? For 3D Computer Vision jobs in California, the most frequently searched job titles are:
What cities in California are hiring for 3D Computer Vision jobs? Cities in California with the most 3D Computer Vision job openings:
Infographic showing various 3D Computer Vision job openings in California as of June 2026, with employment types broken down into 79% Full Time, 1% Temporary, 19% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Junior Computer Vision Engineer

Cesna Recruitment

San Diego, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Job description

[Position]

Computer Vision Engineer 

[About Our Client]

Leader in 3D measurement and inspection technology used in the production of micro-electronics assemblies. San Diego Office, Research & Development hub for artificial intelligence and deep learning technologies.

[Job Summary]

- To research and develop scalable computer vision and machine learning solutions to a hard problem

- To investigate and solve exciting and difficult challenges of the real-world problems in image recognition/classification, object detection/recognition, 3D reconstruction and deep learning

- To design, implement, and deploy full-stack computer vision and machine learning solutions

[Job Description]

[Detailed Job Descriptions]

- Deep Learning Network Training and Deployment to wide range of CV application

- Image Enhancement

- Ghost removal / De-blurring / Contrast Enhancement

-Color Image Processing

- Denoising / Image Domain Transformation / Smoothing & Sharpening

-Segmentation

- Semantic Segmentation / Instance Segmentation

-Various Region Detection on Images

- Saliency / Anomaly

- Shape matching / Blob from multi-modal data / Model Fitting

-Classification

- Small Data driven / Big Data driven

-3D / Depth image processing development

- Transformations / Denoising (Artifact, ...) / Reconstruction / Ensemble

- Stereo Vision

- Camera Calibration / Depth Estimation

Requirements

[Qualifications]

[Education and Experience]

- Required: Master's degree in Computer Science or Electrical Engineering plus 2 or more years of relevant experience

- Preferred #1: Master's degree in Computer Science or Electrical Engineering plus 5 or more years of relevant experience

- Preferred #2: Doctorate in Computer Science or Electrical Engineering plus 3 or more years of relevant experience

[Technical Requirements] (At least, one of the below is required.)

- Experience to Research and Develop to Classical Computer Vision Algorithm

- Experience to Research and Develop Machine Learning

- Experience to C++ implementation of Computer Vision

[Skills to programming language ](At least, one of the below is required.)

- C++ / Python / CUDA

Benefits

- Health/Dental/Vision/Life Insurance at NO employee premium (including dependent coverage)

- 401(k) retirement plan (Immediately 100% vested)

- Generous PTO and paid holidays