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Spatial Computing Jobs in California (NOW HIRING)

Matterport - Senior ML Ops Engineer

Sunnyvale, CA · On-site

$122K - $168K/yr

Our groundbreaking spatial computing platform turns buildings into data making every space more valuable and accessible. Millions of buildings in more than 170 countries have been transformed into ...

Mobile Engineer

San Francisco, CA · On-site

$150 - $200/hr

You will play a foundational role in building the mobile applications that bring our spatial computing platform to life on iOS and Android devices. This is a high-impact role where you will work ...

About Our Client Our client is a technology company developing next-generation intelligent systems at the intersection of AI, XR, robotics, autonomy, and spatial computing. Their products support ...

System Architect

Santa Monica, CA · On-site

$140K - $160K/yr

... spatial computing. Their products support mission-critical applications across defense, public safety, and critical infrastructure. They are seeking passionate professionals who thrive in fast-paced ...

System Architect

Santa Monica, CA · On-site

$150 - $200/hr

... spatial computing. Their products support mission-critical applications across defense, public safety, and critical infrastructure. They are seeking passionate professionals who thrive in fast-paced ...

Showing results 41-60

Spatial Computing information

What is spatial computing?

Spatial computing refers to the use of digital technology to interact with and manipulate physical space and objects. It integrates technologies like augmented reality (AR), virtual reality (VR), sensors, and artificial intelligence to create immersive experiences that blend the digital and physical worlds. Spatial computing is used in various fields, such as gaming, architecture, healthcare, and manufacturing, to enhance visualization, collaboration, and data analysis. This technology enables users to interact with digital content as if it were part of their real environment.

What are the key skills and qualifications needed to thrive as a spatial computing specialist, and why are they important?

To excel as a Spatial Computing Specialist, a solid background in computer science, mathematics, and 3D modeling, often supported by a relevant degree or certification, is essential. Familiarity with programming languages (such as C++, Python), spatial mapping tools, AR/VR development platforms (like Unity or Unreal Engine), and sensor integration is typically required. Strong problem-solving skills, creativity, and effective cross-disciplinary communication set top professionals apart in this field. These skills are vital for developing innovative spatial computing solutions that blend digital and physical environments, driving advancements in industries such as gaming, architecture, and healthcare.

What are some common challenges spatial computing professionals face when working on cross-disciplinary teams?

Spatial computing professionals often collaborate with experts in software development, user experience design, hardware engineering, and domain specialists. A common challenge is ensuring effective communication between team members with different technical backgrounds and vocabularies. Additionally, integrating spatial data and real-world context into digital solutions requires careful coordination and iterative testing. Successful professionals are proactive in bridging knowledge gaps and fostering a shared understanding to drive project goals forward.

What is the difference between Spatial Computing vs Augmented Reality Developer?

AspectSpatial ComputingAugmented Reality Developer
Required CredentialsTypically a degree in computer science, engineering, or related fields; knowledge of 3D modeling and programmingSimilar credentials, often with specialization in AR platforms and SDKs
Work EnvironmentDesigning and developing 3D environments, often involving hardware like AR/VR headsets and sensorsCreating AR applications for mobile devices or AR glasses, often in app development environments
Industry UsageUsed across gaming, architecture, healthcare, and training for spatial interactionPrimarily in entertainment, marketing, and mobile app development sectors

While both roles involve immersive technology, Spatial Computing focuses on creating comprehensive 3D environments and interactions, whereas Augmented Reality Developers specialize in overlaying digital content onto real-world views. Understanding these differences helps in choosing the right career path or project focus within immersive tech industries.

Is spatial computing worth it?

Spatial computing is a growing field that involves developing and working with 3D environments, augmented reality, and virtual reality technologies. Careers in this area often require skills in programming, 3D modeling, and understanding of hardware platforms, making it a valuable and expanding industry for tech professionals.

What are popular job titles related to Spatial Computing jobs in California?

For Spatial Computing jobs in California, the most frequently searched job titles are:

What job categories do people searching Spatial Computing jobs in California look for?

The top searched job categories for Spatial Computing jobs in California are:

What cities in California are hiring for Spatial Computing jobs?

Cities in California with the most Spatial Computing job openings:

Infographic showing various Spatial Computing job openings in California as of September 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Research Scientist, Camera and Sensor Systems

Burlingame, CA • On-site

Meta
Internet and IT • 10K+ employees

$219K/yr

Full-time

Re-posted 11 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies


Job description

Meta Reality Labs is seeking a Research Scientist to advance the science of camera systems and sensor technologies for next-generation augmented and virtual reality devices. In this role, you will conduct foundational and applied research to develop novel imaging architectures, sensor modalities, and computational photography pipelines that enable immersive, real-world-aware experiences on wearable AR/VR hardware. Your work will directly shape the perceptual capabilities of Meta's spatial computing platforms, from smart glasses to mixed reality headsets, pushing the boundaries of what is possible in scene understanding, depth sensing, and real-time visual capture at the intersection of optics, hardware, and algorithms.
Research Scientist, Camera and Sensor Systems Responsibilities:
  • Define and drive the long-term research vision for camera and sensor systems across Meta's AR/VR and wearable device portfolio
  • Conduct original research in imaging science, sensor physics, computational photography, and multi-modal sensing to solve fundamental challenges in spatial computing
  • Architect novel sensor fusion frameworks that integrate data from RGB cameras, depth sensors, IMUs, and other modalities for robust real-world perception
  • Develop and validate computational imaging algorithms including HDR, low-light enhancement, optical flow, and real-time image signal processing pipelines for resource-constrained wearable hardware
  • Collaborate with hardware engineering, optics, and silicon teams to co-design sensor architectures that meet the form factor, power, and latency requirements of AR glasses and VR headsets
  • Translate research prototypes into production-quality systems by partnering with product and engineering teams across the full development lifecycle
  • Publish research findings in top-tier peer-reviewed venues and represent Meta at leading conferences in imaging, computer vision, and sensor science
  • Establish technical direction and research roadmaps for camera and sensor capabilities, influencing multi-year product strategy across Reality Labs
  • Mentor and provide technical guidance to other researchers and engineers working on imaging and sensing problems
  • Identify and evaluate emerging sensor technologies and imaging paradigms that could define the next generation of wearable perceptual systems

Minimum Qualifications:
  • 12+ years of research experience in camera systems, computational imaging, sensor design, or a closely related field
  • Demonstrated record of research leadership resulting in publications in top-tier venues such as CVPR, ICCV, ECCV, SIGGRAPH, ICCP, or IEEE Transactions on Image Processing
  • Experience designing or co-designing imaging hardware and sensor systems, including knowledge of optics, image signal processing pipelines, and sensor physics
  • Experience developing and deploying computational photography or sensor fusion algorithms on embedded or resource-constrained platforms
  • Track record of translating foundational research into product impact at scale, including cross-functional collaboration with hardware and engineering teams

Preferred Qualifications:
  • Experience with AR/VR or wearable device development, including understanding of the unique imaging and sensing constraints imposed by head-mounted form factors
  • Expertise in depth sensing technologies such as structured light, time-of-flight, or stereo vision, and their integration with RGB imaging systems
  • History of filing patents and driving intellectual property strategy in camera, optics, or sensor domains
  • Experience applying machine learning and neural network approaches to image reconstruction, scene understanding, or sensor calibration problems

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.
$219,000/year to $301,000/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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