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Spatial Computing Jobs in Chicago, IL (NOW HIRING)

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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 Chicago, IL?

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

What job categories do people searching Spatial Computing jobs in Chicago, IL look for?

The top searched job categories for Spatial Computing jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Spatial Computing jobs?

Cities near Chicago, IL with the most Spatial Computing job openings:

Infographic showing various Spatial Computing job openings in Chicago, IL as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Research Software Engineer

Chicago, IL • On-site

The University of Chicago
Colleges, Universities, and Professional Schools • 10K+ employees

$110K - $135K/yr

Full-time

Medical, Retirement, PTO

Re-posted 19 days ago


University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

172nd of 633 rated colleges and universities


Job description

Department
PSD Data Science: Tech Administration
About the Department
The University of Chicago Data Science Institute (DSI) is a hub for scholars, researchers, educators, and practitioners tackling the methodological, societal, and domain-specific challenges of our increasingly data-driven world. As a leader in the field, DSI drives cutting-edge research, fosters innovation in data education at all levels, and engages in meaningful partnerships with industry, government, and the broader community.
Job Summary
The Research Software Engineer (RSE) will develop software to support DSI's research priorities and specific initiatives related to data science for social good including resilient food systems, climate, and human rights. The RSE will collaborate with the software team and interdisciplinary research groups across the University of Chicago to develop new software products and build robust, scalable solutions for computational research and public impact projects.
This role involves designing, developing, testing, and maintaining software, with an emphasis on high-quality, reusable code. The ideal candidate will have experience working with substantial existing codebases, strong problem-solving skills, and a keen interest in data-driven applications, machine learning, and artificial intelligence.
This position is eligible for a partial remote work arrangement.
Responsibilities
  • Design, develop, test, and debug complex software programs.
  • Implement and optimize algorithms for data-intensive research.
  • Deploy and maintain systems in both simulated environments and on physical hardware.
  • Diagnose and resolve complex system and software issues.
  • Execute feature requests independently, with guidance from the PI and project manager on goals and design.
  • Collaborate with team members to improve software quality, testability, and fault tolerance.
  • Manage multiple projects simultaneously, supporting faculty, postdoctoral researchers and students in achieving their research objectives.
  • Develops, tests, debugs, and maintains new and existing application software.
  • Works independently to define and document project requirements and provides overall technical guidance in design, architecture and implementation of software solutions.
  • Performs other related work as needed.

Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.
Work Experience:
Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline.
Certifications:
---
Preferred Qualifications
Experience:
  • Professional experience in software engineering or a related programming field.
  • Strong experience with Linux, Python, and at least one additional programming language.
  • Experience working with large, existing codebases.
  • Experience in building web applications and APIs.

Technical Skills or Knowledge:
  • Knowledge of cloud computing platforms (AWS, GCP, Azure, etc.).
  • Proficiency in software development best practices, including version control (Git) and CI/CD pipelines.

Preferred Competencies
  • Strong project management, analytical, and problem-solving skills.
  • Excellent written and verbal communication skills in English.
  • Ability to work effectively in a dynamic, hybrid work environment, collaborating with faculty, staff, students, and the broader UChicago community.
  • Familiarity with virtualization and containerization (Docker, Kubernetes, etc.).
  • Expertise in at least one of the following: Developing highly performant solutions to computational problems using Python; Modern frameworks for full-stack web development, including backend (Flask, Node.js), front-end (React, Angular), and/or GIS and spatial data visualization tools; Building AI solutions, including chatbots, RAG, and other LLM-based tools.
  • Interest in and experience developing software to support data-driven research.

Application Documents
  • Resume/CV (required)
  • Cover Letter (preferred)
  • References (3 contacts) (preferred)

The University of Chicago uses AI-assisted tools to streamline and augment some recruitment processes; however, AI is not used to make hiring decisions.
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Research
Role Impact
Individual Contributor
Scheduled Weekly Hours
37.5
Drug Test Required
No
Health Screen Required
No
Motor Vehicle Record Inquiry Required
No
Pay Rate Type
Salary
FLSA Status
Exempt
Pay Range
$110,000.00 - $135,000.00
The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting.
Benefits Eligible
Yes
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Posting Statement
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.
The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

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