1

Spatial Computing Jobs in Petersburg, VA (NOW HIRING)

We provide these services in multiple computing environments and use technologies such as client ... Seeking a Systems Analyst to work on the Spatial Data Delivery team, interacting with both internal ...

Sr.Database Architect

Richmond, VA · On-site

$66.50 - $89/hr

We provide these services in multiple computing environments and use technologies such as client ... Oracle Spatial * PL/SQL * Toad * SQL * SQL Developer * SQL Loader * Microsoft Team Foundation ...

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.
Infographic showing various Spatial Computing job openings in Petersburg, VA as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Agentic AI Data Engineer@Richmond, VA F2F

ibrain technologies, inc

Richmond, VA • On-site

$113K - $136K/yr

Contractor

Re-posted 18 hours ago


Job description

Agentic AI Data Engineer
Richmond, VA Hybrid & F2F Interview
12 Months
 
Agentic Data Engineer to design, develop, and deploy data pipelines that leverage agentic AI that solve real-world problems
 Experience training LLMs with structured and unstructured data sets
highly skilled Agentic Data Engineer to design, develop, and deploy data pipelines that leverage agentic AI that solve real-world problems. The ideal candidate will have experience in designing data process to support agentic systems, ensure data quality and facilitating interaction between agents and data. 
   
Responsibilities:  
Strong Data engineering fundamentals 
Utilize Big data frameworks like Spark/Databricks 
Training LLMs with structed and unstructured data sets. 
Understanding of Graph DB 
Experience with Azure Blob Storage, Azure Data Lakes, Azure Databricks 
Experience implementing Azure Machine Learning, Azure Computer Vision, Azure Video Indexer, Azure OpenAI models, Azure Media Services, Azure AI Search  
Determine effective data partitioning criteria  
Utilize data storage system spark to implement partition schemes 
Understanding core machine learning concepts and algorithms 
Familiarity with Cloud computing skills 
Strong programming skills in Python and experience with AI/ML frameworks. 
Proficiency in vector databases and embedding models for retrieval tasks. 
Expertise in integrating with AI agent frameworks. 
Experience with cloud AI services (Azure AI). 
Experience with GIS spatial data to create markers on maps ( lat long nearest topology of road, geo-locate between datasets, correlation etc.).  
Experience with Department of Transportation Data Domains developing an AI Composite Agentic Solution designed to identify and analyze data models, connect & correlate information to validate hypotheses, forecast, predict and recommend potential strategies and conduct What-if analysis.   
Bachelor's or master's degree in computer science, AI, Data Science, or a related field. 
 

Regards,

Deva

iBrain Technologies, INC. | A Certified Minority Business Enterprise

Email:deva@ibrain-tech.com

Phone Direct: 636-489-0678

www.ibrain-tech.com