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3D Computer Vision Jobs in Fairfield, CA (NOW HIRING)

Kargo

Senior Software Engineer, Edge

San Francisco, CA · On-site

$144K - $190K/yr

Develop advanced perception systems using 3D computer vision. * Build agentic AI systems to deploy, manage, and monitor a growing fleet of edge devices operating in real-world environments. * Design ...

Kargo

Senior Software Engineer, Edge

San Francisco, CA · On-site

$144K - $190K/yr

Develop advanced perception systems using 3D computer vision. * Build agentic AI systems to deploy, manage, and monitor a growing fleet of edge devices operating in real-world environments. * Design ...

World Labs

Pipeline Engineer (Graphics/3D)

San Francisco, CA · On-site

$164K - $203K/yr

Bridge research and product by working closely with both graphics/computer vision researchers and ... You have fluency in the 3D ecosystem , including familiarity with 3D algorithms, DCC tools and ...

Mach9 Robotics Inc

Head of ML

San Francisco, CA · On-site

$250K - $450K/yr

This role is ideal for experienced engineers, team leads, and managers who want to push the frontier of 3D computer vision and perception. You'll have the opportunity to solve problems that few other ...

Doxel Inc.

Backend Software Engineer

San Francisco, CA · On-site

$150 - $200/hr

We have classic computer vision, deep learning ML object detection, a low-latency 3D three.js web app, a complex data pipeline powering it all in the background. We're building out new workflows ...

Mach9 Robotics Inc

ML Engineer

San Francisco, CA · On-site

$180K - $300K/yr

Design, train, and evaluate computer vision and 3D ML models for extracting CAD-grade geometry and features from dense LiDAR and imagery. * Drive ML research that translates directly into product ...

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3D Computer Vision information

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How much do 3d computer vision jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for 3d computer vision in Fairfield, CA is $21.22, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $23.75 per hour, depending on experience, location, and employer.

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 job categories do people searching 3D Computer Vision jobs in Fairfield, CA look for?

The top searched job categories for 3D Computer Vision jobs in Fairfield, CA are:

What cities near Fairfield, CA are hiring for 3D Computer Vision jobs?

Cities near Fairfield, CA with the most 3D Computer Vision job openings:

3D Computer Vision jobs near you

Technical Lead, Computer Vision

Niantic Spatial, Inc

San Francisco, CA • On-site

$256K - $315K/yr

Full-time

Re-posted 23 days ago

Job description

At Niantic Spatial, we're building the future of geospatial AI. Powered by a proprietary database of over 30 billion posed images and a groundbreaking third-generation digital map, our mission is to develop spatial intelligence that helps both humans and machines better understand, navigate, and engage with the physical world. Our high-fidelity mapping technology unlocks a new dimension of interaction-laying the foundation for AI to truly comprehend and operate within real-world environments. Join us as we build a living model of the world that people and machines can talk to.
As a Tech Lead for the Applied Computer Vision Algorithms Team, you'll help drive our "Reconstruct", "Understand" and "Localization" capabilities. This team is responsible for creating the high-fidelity visual and semantic maps-specifically textured, semantic meshes, and Gaussian Splats- as well as localization maps that allow our Large Geospatial Model (LGM) to perceive the world with human-like precision. Closely working with the R&D and product teams your work will bridge the gap between cutting-edge theory and real-world utility, turning complex geospatial data into a persistent sense of space for the next generation of AI and robotics.
Job Responsibilities
  • Applied Research & Implementation: Actively translate top-tier research papers (e.g., from CVPR, ECCV, NeurIPS) into production-grade features within our tech stack.
  • Technical Leadership: Lead the design and implementation of 3D reconstruction pipelines, focusing on Structure from Motion (SfM) and high-fidelity mesh generation as well as 3D gaussian splats.
  • Algorithm Optimization: Develop and optimize Gaussian Splatting quality algorithms and general ML code for high-performance execution on CPU and GPU.
  • Production Implementation: Write and maintain high-performance, shader-based production code in C++ for Android and Linux environments.
  • Technical Strategy & Mentorship: Work with engineering leadership to define the technical roadmap and quarterly objectives for the Applied CV Team; provide high-level mentorship and code governance to elevate the team's technical bar.
  • Cross-Functional Collaboration: Partner with the Research and Spatial Solutions teams to turn strategic goals into actionable plans.
  • Quality & Benchmarking: Drive decision-making creating high quality data that allows the accurate spatial grounding of AI queries with structural, semantic and location specific knowledge.
Job Requirements
  • Years of Experience: 8+ years of professional experience in Computer Vision, Machine Learning, or a related field (or 6+ years with a PhD in a relevant domain).
  • Education: Bachelor's degree in Computer Science, Engineering, or a related technical field; Master's or PhD preferred.
  • Core Technical Skills: Strong proficiency in C/C++ and Python for production-level software development.
  • Specialized Expertise: Proven experience in 3D Computer Vision/ML, specifically with Structure from Motion (SfM), 3D reconstruction, and Gaussian Splatting rendering techniques.
  • Hardware Optimization: Demonstrated ability to optimize algorithms for GPUs in Android or Linux environments.
  • Graphics Knowledge: Experience with computer graphics and C++ shader-based implementations.
  • Technical Leadership Experience: Previous experience tech leading a team of computer vision engineers in a high-growth environment.
  • Work Location: This position requires 3 days per week in our San Francisco OR Sunnyvale office.

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