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Spatial Computing Jobs in Texas (NOW HIRING)

Esri

Software Development Engineer

San Antonio, TX · On-site

... spatial data Requirements * Two (2) years of experience in the job offered, or two (2) years of experience in a related occupation * Must demonstrate experience in C++, statistical computing, SQL ...

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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 Texas?

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

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

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

What cities in Texas are hiring for Spatial Computing jobs?

Cities in Texas with the most Spatial Computing job openings:

Spatial Computing jobs near you
Infographic showing various Spatial Computing job openings in Texas as of August 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Postdoctoral Fellow - Genomic Medicine

MD Anderson

Houston, TX

$46K - $63K/yr

Full-time

Re-posted 28 days ago

MD Anderson Cancer Center rating

8.4

Company rating: 8.4 out of 10

Based on 171 frontline employees who took The Breakroom Quiz

14th of 888 rated healthcare providers

Job description

The Wang Laboratory at MD Anderson Cancer Center is a computational biology research lab. We apply innovative bioinformatics approaches to dissect the tumor 'ecosystem', deeply profile tumor cells and cells of the tumor microenvironment as well as tumor-immune-stroma crosstalk at single-cell resolution and in the spatial context. The lab's key focus areas include: 1) Transition from premalignant lesions to invasive cancer; 2) Evolution of metastasis from a localized tumor; 3) Dynamic response to anti-cancer therapies and the development of therapeutic resistance. Leveraging cutting-edge single-cell and spatial multi-omics technologies, cellular imaging, and innovative bioinformatics tools and computational frameworks, we aim to harness the potential of big data to fight cancer. Our overarching goal is to advance our understanding of the cellular & molecular cues underlying early tumorigenesis, disease progression, and the development of therapy resistance and translate our novel discoveries into improved patient care. We are seeking multiple talented and highly motivated Postdoctoral Fellows with a strong background in bioinformatics and a passion for exploring the heterogeneity and evolution of tumor cells and tumor microenvironment using the state-of-the-art single cell and spatial multi-omics approaches.
LEARNING OBJECTIVES
Gain skills in single cell, spatial omics, and imaging data analysis, immunogenomics, immune-informatics, and cancer-specific bioinformatics. Develop expertise in study design, data analysis, data interpretation, presentation, manuscript and grant writing
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
ELIGIBILITY REQUIREMENTS
Individuals with a PhD degree in computational biology, bioinformatics, data science or a related field are encouraged to apply. A strong computational background, proficiency in R and at least one additional scripting language (e.g., Python) and knowledge in biostatistics are required. Experience working with single cell and spatial omics data analysis and high-performance computing environment (Unix/Linux) is highly preferred. A good understanding of cancer biology, immunology, cell biology, and molecular biology is also preferred. Proven track record of publications, excellent spoken and written communication skills are required
ADDITIONAL APPLICATION INFORMATION
Interested applicants should send a Cover Letter specifying past research experience/skills/accomplishments, a Curriculum Vitae and the contact information of three (3) Referees to Dr. Linghua Wang at Lwang22@mdanderson.org with the subject line entitled "Postdoctoral Fellow - Application - Applicant's Name".
POSITION INFORMATION
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html


FACULTY MENTOR
Dr. Linghua Wang

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