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Spatial Computing Jobs in Seattle, WA (NOW HIRING)

Senior Optical Engineer

Bothell, WA · On-site

$114K - $150K/yr

Our quantum computing services are available through all major cloud providers, while we also meet ... temporal/spatial overlap control. * Implement automated quantum tomography protocols to ...

Display Research Scientist

Redmond, WA · On-site

$154K - $217K/yr

... spatial light modulators and display panel technologies • Track record of novel research ... including computing, design and simulation, experiments, and data analysis • Experience with ...

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Spatial Computing information

See Seattle, WA salary details

$66.1K

$165K

$282K

How much do spatial computing jobs pay per year?

As of Jun 7, 2026, the average yearly pay for spatial computing in Seattle, WA is $164,991.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,700.00 and $217,600.00 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.
Scientist I - Single-cell Genomics and Bioinformatics

Scientist I - Single-cell Genomics and Bioinformatics

Allen Institute

Seattle, WA • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

Scientist I – Single-cell genomics and bioinformatics – Molecular Genetics

The mission of the Allen Institute is to unlock the complexities of bioscience and advance our knowledge to improve human health. Using an open science, multi-scale, team-oriented approach, the Allen Institute focuses on accelerating foundational research, developing standards and models, and cultivating new ideas to make a broad, transformational impact on science.

The mission of the Allen Institute for Brain Science is to accelerate the understanding of how the human brain works in health and disease. Using a big science approach, we generate useful public resources, drive technological and analytical advances, and discover fundamental brain properties through integration of experiments, modeling, and theory.

The Molecular Genetics department at the Allen Institute for Brain Science defines cell types in the mouse nervous system with single-cell genomics techniques and generates high-precision genetic tools to effectively identify, monitor, and manipulate distinct neuronal cell types.

We seek an exceptional Scientist I who will work in the Molecular Genetics department on analysis of single-cell transcriptomics and spatial transcriptomics data in the peripheral nervous system. The candidate should have an exceptionally strong background in bioinformatics and single-cell genomics. They will work closely with team members to analyze various types of single-cell genomics data to define neuronal types, interrogate functional connectivity, and help design genetic tools to access these cell types. This individual should be highly efficient, capable of working independently, and collaborative. This individual will be an excellent communicator, efficient in both independent work and collaborations with others.

At the Allen Institute, we believe that science is for everyone – and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly.

We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment.

We are an equal opportunity employer and strongly encourage people from all backgrounds to apply for our open positions.

Essential Functions

  • Support initiatives across the Allen Institute for Brain Science, Allen Institute for Neural Dynamics and Allen Institute for Immunology to create reference atlases for cells in the peripheral nervous system using single-cell genomic data
  • Apply and adapt existing computational and experimental approaches to integrate gene expression and epigenetic information from a variety of single-cell genomic datasets
  • Collaborate with team members to interpret biological findings from data and contribute ideas for follow-up experiments, gaining independence and autonomy over time
  • Learn and apply analytical methods for defining cell types and predicting enhancer activity from single-cell data and for supporting the development of genetic tools that mark distinct functional or anatomical cell types
  • Contribute to computational method development for single-cell genomics, under the guidance of team leads
  • Present research findings regularly to internal team members and stakeholders; contribute to the preparation of manuscripts, grant proposals, and external presentations

Note: Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. This description reflects management’s assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned.

Required Education and Experience

  • Ph.D. in Bioinformatics, Genomics, Neuroscience or related field; or equivalent combination of degree and experience
  • Demonstrated experience with single-cell genomics analysis or large-scale data analysis
  • Proficiency in programming languages and tools (R, Python, cloud computing)
  • Proficiency in AI tool use, and interest in AI tool development

Preferred Education and Experience

  • Experience in reproducibly analyzing large single-cell and spatial genomics (transcriptomics, epigenomics, proteomics) datasets
  • Experience integrating spatial data with single-cell genomics approaches
  • Ability to work independently and within a collaborative, multi-disciplinary environment to meet demanding timelines
  • Positive attitude, self-motivated, and demonstrated ability to creatively troubleshoot
  • Proven strong publication record
  • Knowledge of mouse molecular genetics, neuroscience, and neuroanatomy
  • Exceptional oral and written communication and organizational skills

Physical Demands

  • Fine motor movements in fingers/hands to operate computers and other office equipment

Position Type/Expected Hours of Work

  • This role is currently able to work both remotely and onsite in a hybrid work environment. We are a Washington State employer, and the primary work location for all Allen Institute employees is 615 Westlake Ave N.; any remote work must be performed in Washington State.

Travel

  • Attendance and participation in national and international conferences is required

Additional Comments

  • **Please note, this opportunity offers relocation assistance**
  • **Please note, this opportunity may offer work visa sponsorship**

Annualized Salary Range

  • $86,500 - $106,100

* Final salary depends on required education for the role, experience, and level of skills relevant to the role, along with work location, where applicable.

Benefits

  • Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute’s Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute’s 401k plan. Paid time off is also available as outlined in the Allen Institute’s Benefits Guide. Details on the Allen Institute’s benefits offering are located at the following link to the Benefits Guide: https://alleninstitute.org/careers/benefits.

It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.