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Spatial Computing Jobs (NOW HIRING)

Experience with MLIR and spatial computing architectures * Driven and self-directed * Proficiency in a variety of development styles and languages * Strong focus on testing and software quality Perks ...

Experience with MLIR and spatial computing architectures * Driven and self-directed * Proficiency in a variety of development styles and languages * Strong focus on testing and software quality Perks ...

Develop and prototype world-class interactive product experiences leveraging spatial computing, user interface principles, materials, inputs, physics, and generative AI. Quickly grasp and distill ...

Experience with MLIR and spatial computing architectures * Driven and self-directed * Proficiency in a variety of development styles and languages * Strong focus on testing and software quality Perks ...

Develop and prototype world-class interactive product experiences leveraging spatial computing, user interface principles, materials, inputs, physics, and generative AI. Quickly grasp and distill ...

Software Engineer

Orlando, FL · On-site

$50K - $110K/yr

Your contributions will help drive the evolution of spatial computing, enhancing user experiences and pushing the boundaries of what's possible in this exciting field. What You'll Do * Solve complex ...

Senior Software Engineer (Contractor)

Orlando, FL · On-site

$114K - $150K/yr

Your contributions will help drive the evolution of spatial computing, enhancing user experiences and pushing the boundaries of what's possible in this exciting field. What You'll Do * Solve complex ...

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Spatial Computing information

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$56.5K

$141K

$241K

How much do spatial computing jobs pay per year?

As of Jun 8, 2026, the average yearly pay for spatial computing in the United States is $141,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $186,000.00 per year, depending on experience, location, and employer.

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 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.

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.
More about Spatial Computing jobs
What cities are hiring for Spatial Computing jobs? Cities with the most Spatial Computing job openings:
What states have the most Spatial Computing jobs? States with the most job openings for Spatial Computing jobs include:
Infographic showing various Spatial Computing job openings in the United States as of May 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $141,011 per year, or $67.8 per hour.
Computer Vision and Machine Learning Engineer

Computer Vision and Machine Learning Engineer

Apple

Sunnyvale, CA

$212K - $386K/yr

Full-time

Medical, Dental, Retirement

Posted 5 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Apple is where individual imaginations converge, united by values that drive exceptional innovation. Every product we develop and service we deliver emerges from our collective commitment to strengthening each other's ideas. This collaborative spirit stems from a shared conviction that we can create something extraordinary and deliver it to the world, transforming lives for the better. The diversity of our people and their perspectives fuels the innovation that permeates everything we accomplish. When we embrace everyone's contributions, we achieve our finest work. Here, you will not simply join something; you will contribute something meaningful.
Spatial computing represents a transformative frontier where digital experiences merge seamlessly with physical environments. Through advanced sensor fusion, edge computing architectures, and efficient on-device models, we are redefining how people interact with technology in their everyday lives. This evolution enables entirely new possibilities while maintaining genuine human connection.
Our computer vision and machine learning (CVML) team of researchers and engineers tackles previously unsolved technical challenges at the intersection of perception, intelligence, and real-time processing. We seek a driven and dedicated engineer with deep expertise in computer vision and deep learning. As a member of our dynamic team, you will have the unique and rewarding opportunity to influence next-generation products that will captivate and inspire millions of people daily.
Are you prepared to make a lasting impact on the future of technology?
Description
We seek a proactive Computer Vision and Machine Learning Engineer to join our team in designing and implementing advanced algorithms for spatial computing and artificial intelligence. The ideal candidate demonstrates passion for translating cutting-edge research into production-ready solutions that delight users.
In this role, you will collaborate closely with computer vision and machine learning researchers to develop world-class algorithms that advance the state of the art while creating deeply personal experiences for our users. You will focus on building multimodal deep learning models optimized for edge deployment, leveraging sensor fusion techniques to enable intelligent, real-time perception in resource-constrained environments.
Your work will span the full spectrum from applying breakthrough research to solving real-world problems, optimizing model efficiency for on-device inference, and ensuring algorithms perform flawlessly in production. You will be instrumental in pushing the boundaries of what is possible when sophisticated machine learning meets spatial computing.","responsibilities":"Developing cutting-edge CVML algorithms that push the boundaries of what is possible
Collaborating cross-functionally to understand algorithmic constraints and dependencies
Working with engineers and designers to develop quick proof-of-concepts with novel hardware for innovative applications
Cooperating with your team members to prepare presentations, papers, and talks to explain your inventions
Advising on feature definitions/promising development directions in cross-functional groups
Preferred Qualifications
M.S. or Ph.D. in computer vision, machine learning or related fields
Excellent math skills, including linear algebra, computational science and optimization
Creativity and curiosity for solving highly complex problems
Excellent communication and collaboration skills
Hands-on experience of working with sensors and hardware
An interest in incubating ideas and taking them to finish
Experience shipping algorithms or publishing in top tier CVML conferences
Minimum Qualifications
BS and a minimum of 20 years in software engineering, computer vision, machine learning or related fields
Experience in deep learning frameworks such as PyTorch
Proficiency in Python development, using best coding practices
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $212,000 and $386,300, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976