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Spatial Computing Jobs in Florida (NOW HIRING)

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators ... scientific computing, image processing, signal processing, or large-scale data processing. • ...

Exposure to distributed computing (Ray, Spark) or simulation environments (Omniverse, MuJoCo) * Any project work involving synthetic data generation or tactile/spatial data representations Why join ...

... Computing clusters. Performs debugging on existing or novel methods and tools, and creates ... Support analysis of RNA sequencing, whole exome sequencing, spatial transcriptomics, proteomics ...

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators ... Experience with scientific computing, image processing, signal processing, or large-scale data ...

Oracle DBA

Tallahassee, FL · On-site

$48.25 - $65.50/hr

... computing environments. The candidate must be able to work as part of a team to assist in ... spatial databases (specifically PostgreSQL and Oracle) 2. Must have experience SQL Server 2012 and ...

... computing workloads, including AI, Colocation, Cloud, and Bitcoin Mining. We are proud to offer ... spatial conflicts across architectural, structural, mechanical, electrical, and plumbing ...

... computing workloads, including AI, Colocation, Cloud, and Bitcoin Mining. We are proud to offer ... spatial conflicts across architectural, structural, mechanical, electrical, and plumbing ...

... computing workloads, including AI, Colocation, Cloud, and Bitcoin Mining. We are proud to offer ... Lead clash detection and model coordination efforts, identifying and resolving spatial conflicts ...

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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 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.
What cities in Florida are hiring for Spatial Computing jobs? Cities in Florida with the most Spatial Computing job openings:
Postdoctoral Associate (Public Health Sciences)

Postdoctoral Associate (Public Health Sciences)

The University of Miami

Miami, FL • On-site

Full-time

Medical, Dental

Posted 4 days ago


University Of Miami rating

7.7

Company rating: 7.7 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

214th of 534 rated colleges and universities


Job description

Current Employees:
If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position, please review this tip sheet.
The University of Miami/UHealth Department of SCCC Public Health Science has an exciting opportunity for a Full Time Post Doctoral Associate to work at the UHealth campus in Miami, Fl.
We are seeking a highly motivated Postdoctoral Associate to join our bioinformatics research lab. The successful candidate will work at the intersection of computational biology, Genomics, machine learning, and data science, contributing to the development and evaluation of advanced algorithms for analyzing large-scale biological datasets. This role is ideal for candidates with a strong computer science background, such as algorithms, machine learning and data science.
Key Responsibilities
  • Develop, implement, and evaluate machine learning and deep learning models for biological data analysis
  • Work with large-scale datasets such as:
    • Genomics / transcriptomics (bulk, single-cell, spatial)
    • Epigenomics, proteomics, or multi-omics data
  • Design data preprocessing, feature engineering pipelines.
  • Implement models in Python using frameworks such as PyTorch, TensorFlow.
  • Perform statistical analyses and model benchmarking against existing methods.
  • Collaborate with wet-lab scientists and domain experts to interpret results.
  • Contribute to manuscripts, conference abstracts, and presentations.

Required Qualifications
  • Ph.D in Computer Science, Bioinformatics, Computational Biology, Data Science, or a related field
  • Strong programming skills in Python, R
  • Solid understanding of:
    • Machine learning fundamentals
    • Deep learning architecture (e.g., CNNs, RNNs, Transformers)
    • Optimization and model evaluation
    • Knowledge in biology and genomics
  • Experience working with large datasets and numerical computing libraries (NumPy, Pandas, SciPy)
  • Familiarity with Linux environments, version control (Git), cloud computing.

Preferred Qualifications
  • Prior experience in bioinformatics or computational biology
  • Experience with one or more of the following:
    • Single-cell or spatial omics analysis
    • DNA Methylation analysis
    • Graph neural networks
    • Generative models (VAEs, diffusion models)
    • Multi-modal learning
  • Knowledge of bioinformatics tools and data formats (FASTQ, BAM, VCF, H5AD, AnnData, Seurat, etc.).
  • Experience with HPC clusters, cloud computing, or GPU acceleration.
  • Strong mathematical background in linear algebra, probability, and statistics.
  • Prior research experience with publications or preprints.

The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more.
UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for.
The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law.
Job Status:
Full time
Employee Type:
Staff

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About University of Miami

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The University of Miami, located in the beautiful Coral Gables, Florida, is a comprehensive, private research institution in the United States. Operating within the higher education industry, the institution offers a multitude of degree programs spanning over 180 majors and program through its 12 colleges. The University was founded in 1925 with the mission to disseminate knowledge, transform lives, and change the world - a mission it has held faithfully to this day. Notably, the University of Miami has gained global recognition for its commitment to research and innovation, with over $324 million in research and sponsored project funding awarded annually.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Coral Gables, FL, US

Year founded

1925