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Evening Computer Graphics Technology Jobs in California

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$121K/yr

Our Extended Reality Technology organization is focused on cutting-edge research and development of ... Experience with computer graphics or rendering pipelines (e.g., real-time or offline rendering, ray ...

Nvidia

Software Engineer, Linux Graphics

Santa Clara, CA

$164K - $203K/yr

... computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ... Develop and maintain SW technologies targeted at enabling and supporting NVIDIA's GPU hardware: on ...

Jobtailor

Software Engineer, Linux Graphics

Santa Clara, CA · On-site

$163K - $201K/yr

... computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ... Develop and maintain SW technologies targeted at enabling and supporting NVIDIA's GPU hardware: on ...

Nvidia

Software Engineer, Linux Graphics

Santa Clara, CA · On-site

$164K - $203K/yr

... computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ... Develop and maintain SW technologies targeted at enabling and supporting NVIDIA's GPU hardware: on ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

... technologies, including Apple Vision Pro's Eyesight and Persona. In this position, you will have the opportunity to be part of our extraordinary team of Computer Graphics, Computer Vision and Deep ...

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Infographic showing various Evening Computer Graphics Technology job openings in California as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, and 5% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Computer Vision Engineer

Burlingame, CA • On-site

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$121K/yr

Full-time

Re-posted 6 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

The Reality Labs organization is helping more people around the world come together and connect through Wearables and Virtual Reality products. With global departments dedicated to research and development in computer vision, machine learning, haptics, social interaction, and more, Reality Labs is committed to advancing the state of the art through ongoing research and development. The potential to change the world is immense - and we’re just getting started.Our Extended Reality Technology organization is focused on cutting-edge research and development of machine perception technologies from early concepts to production level across all of Meta products and surfaces. These include VR products, Meta Glasses, and other devices. We develop core capabilities across a range of product domains, including Avatars, Contextual, Personal, and Spatial Computing, Calibration, and more.In this role, you will be researching and applying a range of software, computer vision, and robotic learning techniques for solving challenges that bridge virtual and real worlds and will impact billions of people. We're addressing a variety of technical challenges in the areas of real-time image processing, 3D graphics, SLAM, scene reconstruction, machine perception, visualization, and human interaction.
Computer Vision Engineer Responsibilities:
  • Design and develop novel calibration algorithms for sensors and displays
  • Design and prototype automation for calibration in collaboration with mechanical engineers and prototyping technicians
  • Collaborate with cross-functional engineering and research teams from Meta Reality Labs in computer vision, machine learning, graphics, optics, camera hardware, manufacturing, and others
  • Define projects for other engineers to achieve an impact based on your direction
  • Contribute to engineering best practices: code quality, AI-assisted engineering, and technical culture within your team

Minimum Qualifications:
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience
  • 2+ years of experience in developing and designing Computer Vision and Perception algorithms for robotics technologies and systems
  • Experience in C++ or Python development
  • Prototyping and engineering experience in at least one relevant specialization area in Computer Vision or Perception for Robotics: Camera Calibration, Online Calibration, State Estimation, Sensor Fusion, 3D Reconstruction, Camera Pose Estimation, Structure-from-Motion
  • Experience applying AI/generative models in practice — coding assistants and agentic tooling for productivity, automated QA, image and video generation, and AI-assisted annotation and labeling
  • Experience with computer graphics or rendering pipelines (e.g., real-time or offline rendering, ray tracing, shaders, physically-based rendering, 3D scene/asset authoring in engines such as Unreal, Unity, or Blender), including generating and leveraging synthetic data for training and evaluating perception models
  • Experience building, training, and evaluating machine learning models — including designing data recipes, defining training/eval splits, running experiments, and iterating on model architecture and hyperparameters
  • Experience with the data lifecycle for model training at scale: sourcing, curation, annotation and QA, augmentation, dataset versioning, and analyzing data distribution/domain gaps to target coverage improvements

Preferred Qualifications:
  • M.S. or Ph.D. degree in Computer Science, Computer Vision, Computer Graphics, Robotics, or a related technical field
  • Industry experience working on projects such as: applying AI/generative models, Sensor Fusion, 3D reconstruction, Camera Pose Estimation, and Structure from Motion

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$121,992/year to $181,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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