ZipRecruiter

Log In

1

3D Computer Vision Jobs in California (NOW HIRING)

Cesna Group

Computer Vision R&D Engineer

San Diego, CA · On-site

$100K - $200K/yr

... use 3D imaging technologies and Machine Learning. * As a computer vision engineer, you will be ... using cutting-edge vision and AI algorithms to integrate into robotics systems designed by ...

previous page

Showing results 41-60

All Jobs3D Computer Vision Jobs3D Computer Vision Jobs in California

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 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 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 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 job categories do people searching 3D Computer Vision jobs in California look for?

The top searched job categories for 3D Computer Vision jobs in California are:

What cities in California are hiring for 3D Computer Vision jobs?

Cities in California with the most 3D Computer Vision job openings:

3D Computer Vision jobs near you
Infographic showing various 3D Computer Vision job openings in California as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 90% In-person, and 10% Remote job distribution.

Staff Software Engineer - Computer Vision

Array Labs Inc.

Redwood City, CA • On-site

$150 - $300/hr

Other

Medical, Dental, Vision, Retirement

Re-posted 18 days ago

Job description

About Us

Array Labs builds advanced radar systems to help humanity understand and respond to changes across the physical world.

We're launching a coordinated fleet of radar satellites to create a high-resolution 3D map of the Earth, updated in real time, enabling faster, smarter decision-making for government and commercial organizations supporting disaster response, infrastructure resilience, and mission‑critical geopolitical intelligence.

We design and build our satellites end‑to‑end, producing the world's most advanced earth observation satellites. Our fleet will deliver unprecedented levels of accuracy, coverage, and responsiveness to power critical insights precisely where they're needed most.

About the Job

As a Staff Software Engineer for Computer Vision, you will develop and deploy across all of Array's 3D processing capabilities, including our photogrammetry and radar reconstruction pipelines. The work spans computer vision algorithms and production engineering: you should be equally comfortable reading a paper about unfamiliar algorithms, and shipping new capabilities as production‑quality software. The position will work closely with 3D reconstruction scientists, radar algorithms engineers, and product engineers.

Responsibilities
  • Productionize and continuously improve Array's photogrammetry and radar image formation pipelines using industry best practices.
  • Step into individual pipeline stages — bundle adjustment, dense matching, point cloud generation, geometric refinement, geo‑referencing — to improve accuracy, robustness, and throughput.
  • Develop and optimize database schemas and storage solutions for managing large‑scale 3D geospatial data.
  • Contribute to broader software engineering efforts across the company, including data infrastructure, analytics, and systems to deliver our satellite data to customers.
Basic Qualifications
  • 5+ years of software engineering experience, with a substantial portion focused on computer vision.
  • Strong proficiency in Python and C++, experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (e.g. Docker, Kubernetes).
  • Strong foundation in geometric computer vision, spanning camera modeling, epipolar geometry, and multi‑view reconstruction pipelines (stereo, SfM, MVS, bundle adjustment).
  • Excellent communicator, with the ability to make high‑quality technical decisions in a startup environment.
Preferred Skills & Experience
  • Experience with geospatial concepts, remote sensing data, or robotics/autonomous vehicle sensor data
  • Familiarity with digital signal processing, radar algorithms, or SAR concepts
  • Familiarity with deep learning approaches to 3D vision (e.g. NeRF, 3D Gaussian Splatting, learned feature matching, or depth estimation)
  • Experience with C++ or CUDA for performance optimization
  • Ability to build visualization tools for geospatial or 3D data (Cesium, Three.js, or similar)

Compensation

$150,000 - $300,000 a year

Benefits

Full‑time employees also enjoy a comprehensive benefits package including health, dental, vision, a 401(k) with company match, commuter benefits, and more.

ITAR Requirements

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

Equal Opportunity Employer

Array Labs is an Equal Opportunity Employer. Employment decisions are made on the basis of merit, competence, and job qualifications and will not be influenced in any manner by gender, color, race, ethnicity, national origin, sexual orientation, religion, age, gender identity, veteran status, disability status, marital status, mental or physical disability or any other legally protected status.

If you require a reasonable accommodation during the application or interview process, please let us know.

#J-18808-Ljbffr

Apply