2

Remote 3D Post Processing Radiology Jobs in Virginia

... 3D modeling and coordination. This role involves creating and maintaining accurate BIM models of ... This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ...

... 3D modeling and coordination. This role involves creating and maintaining accurate BIM models of ... This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ...

... 3D modeling and coordination. This role involves creating and maintaining accurate BIM models of ... This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ...

... 3D modeling and coordination. This role involves creating and maintaining accurate BIM models of ... This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ...

... 3D modeling and coordination. This role involves creating and maintaining accurate BIM models of ... This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ...

... 3D modeling and coordination. This role involves creating and maintaining accurate BIM models of ... This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ...

... 3D modeling and coordination. This role involves creating and maintaining accurate BIM models of ... This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ...

... 3D modeling and coordination. This role involves creating and maintaining accurate BIM models of ... This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ...

next page

Showing results 1-20

Remote 3D Post Processing Radiology information

What are the key skills and qualifications needed to thrive as a Remote 3D Post Processing Radiology specialist?

To thrive as a Remote 3D Post Processing Radiology Specialist, you need a solid background in radiologic technology or medical imaging, usually with ARRT certification and experience in advanced imaging modalities. Proficiency with specialized 3D post-processing software like Vitrea, TeraRecon, or GE AW, and familiarity with PACS systems are essential. Attention to detail, strong analytical thinking, and effective virtual communication skills help ensure accurate interpretations and collaboration with offsite medical teams. These skills and qualifications are crucial for producing high-quality 3D images that aid in precise diagnoses and patient care, even in a remote setting.

What is a Remote 3D Post Processing Radiology specialist?

A Remote 3D Post Processing Radiology specialist is a medical imaging professional who utilizes advanced software to create 3D models and reconstructions from radiological scans such as CT and MRI, working remotely rather than on-site at a hospital or clinic. Their work supports radiologists and physicians by providing detailed visualizations that aid in diagnosis, surgical planning, and treatment monitoring. They often collaborate with other medical professionals and must be proficient in using specialized imaging software. Remote work allows them to serve multiple healthcare facilities while maintaining high-quality standards and patient confidentiality.

How do Remote 3D Post Processing Radiology professionals typically collaborate with on-site radiologists and referring physicians?

Remote 3D post processing radiology professionals often work closely with on-site radiologists and referring physicians through secure digital platforms. Communication is key—they discuss imaging requests, clarify clinical questions, and review processed images and reconstructions via virtual meetings or messaging systems. Clear documentation and timely response to feedback are essential, ensuring that final 3D images meet diagnostic needs. This collaborative workflow helps maintain high-quality patient care, even though the team may be geographically dispersed.

What is the difference between Remote 3D Post Processing Radiology vs Remote MRI Post Processing Radiology?

AspectRemote 3D Post Processing RadiologyRemote MRI Post Processing Radiology
CredentialsCertification in radiologic technology, 3D imaging software proficiencyCertification in radiologic technology, MRI-specific processing skills
Work EnvironmentRemote, computer-based, using 3D imaging toolsRemote, computer-based, focusing on MRI data analysis
Industry UsageMedical imaging centers, radiology departmentsHospitals, diagnostic imaging clinics
Common Search/ComparisonYesYes

Remote 3D Post Processing Radiology involves creating detailed 3D images from various scans, while Remote MRI Post Processing Radiology specializes in analyzing MRI data. Both roles require radiologic technology certifications and involve remote work environments. The main difference lies in the imaging modality focus: 3D imaging versus MRI-specific processing.

What are the most commonly searched types of 3D Post Processing Radiology jobs in Virginia? The most popular types of 3D Post Processing Radiology jobs in Virginia are:
What are popular job titles related to Remote 3D Post Processing Radiology jobs in Virginia? For Remote 3D Post Processing Radiology jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote 3D Post Processing Radiology jobs in Virginia look for? The top searched job categories for Remote 3D Post Processing Radiology jobs in Virginia are:
What cities in Virginia are hiring for Remote 3D Post Processing Radiology jobs? Cities in Virginia with the most Remote 3D Post Processing Radiology job openings:
Infographic showing various Remote 3D Post Processing Radiology job openings in Virginia as of July 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution.

Radio Frequency Software Engineer Lead - 1648

Global InfoTek, Inc.

Reston, VA • On-site, Remote

Full-time

Re-posted 14 days ago


Job description

Clearance Level: Public Trust
US Citizenship: Required
Job Classification: Full Time
Location: Remote
Years of Experience: 7-10 years of relevant experience
Education Level: BS Degree - experience may be considered in place of education requirement.
Briefly Describe the Work:
GITI is seeking a Lead RF Software Engineer to support Cyber Operations Research and Development on passive RF emitter identification and network analysis from real-time sensor data streams. The candidate will implement, test, and maintain components of production software pipeline - a stream ingestion, rollup, and post-processing system operating on NDF (Network Description File) data produced by TDMA network sensors in dense, contested RF environments. Working under the direction of the Principal Engineer and the Technical Lead. The Lead RF Software Engineer supports Cyber Operations by contributing to pipeline development across a range of functional areas including stream processing, database integration, display and reporting tools, simulation infrastructure, and CI/CD tooling. The role requires strong Python skills, comfort with air-gapped Linux environments, and the ability to work independently on well-defined components with minimal supervision in support of real world cyber operations.
Responsibilities:
  • Implement, test, and maintain assigned pipeline components including stream ingestion, rollup processing, database write, and batch post-processing modules in support of real world cyber operations
  • Develop and maintain browser-based visualization and reporting tools (track plots, waterfall displays, SmartBook report generation) that consume pipeline database output
  • Implement and maintain stream simulation infrastructure, including TDMA network mission log replay and stream generation at controllable rates for pipeline testing
  • Develop lightweight TNS simulator components: emitter and receiver models capable of following track plots and emitting in accordance with a network description
  • Contribute to database integration work on tactical-box-spec hardware, including MySQL schema design, query optimization, and performance benchmarking
  • Write comprehensive unit and integration tests for assigned components; implement and maintain CI/CD pipelines using GitLab to ensure functionality on hardware or in cloud environment
  • Identify and report performance bottlenecks in Python pipeline components; assist with porting mature components to Rust or C as directed
  • Perform basic Linux system administration on remote servers including package management, user configuration, and environment setup
  • Manage source code using GitLab; follow disciplined versioning, branching, and code review practices as established by the Principal Engineer
  • Produce clear technical documentation for implemented components including interface specifications, configuration guides, and test procedures
  • Participate in periodic technical check-ins with the program technical lead; share findings and flag blockers promptly

Career level with a complete understanding and wide application of technical principles, theories, and concepts. Working under general direction from the Principal Engineer, provides technical solutions to a wide range of well-defined problems and independently executes on assigned components. Bachelor's (or equivalent) with 7-10 years of experience, or a Master's with 5-7 years of experience.
Required Skills:
  • Strong proficiency in Python, with demonstrated experience in data processing pipelines, stream ingestion, or ETL development
  • Proficiency with Python data science libraries including NumPy, Pandas (or Polars), and scikit-learn
  • Experience with relational database development using MySQL, PostgreSQL, or SQLite, including schema design and query optimization
  • Experience parsing or generating binary serialization formats (FlatBuffers, Protocol Buffers, or equivalent)
  • Ability to develop, test, and debug on remote Linux servers via SSH using command-line tools and a modern IDE
  • Solid Linux operating system fundamentals including file system management, process control, and basic security hardening (Ubuntu)
  • Proficient in software engineering practices including Git/GitLab version control, unit testing, and CI/CD pipeline usage
  • Experience developing browser-based data visualization or reporting tools, or demonstrated ability to learn React/D3-based tooling on the job
  • Strong written and oral communication skills; ability to produce clear technical documentation for engineering audiences
  • Ability to work independently on assigned components with minimal supervision in a small, distributed team

Desired Skills:
  • Experience with TNS (Target Network System) sensor data formats and NDF ICD specifications
  • Familiarity with TDMA network protocols, time-division access architectures, and passive RF signal processing concepts
  • Experience with lightweight stream or message queue architectures (ZeroMQ, RabbitMQ, or equivalent)
  • Experience with Rust or Go for systems-level or performance-critical development on Linux
  • Experience with Polars or DuckDB for high-performance analytical workloads
  • Experience with performance profiling and optimization of Python pipelines on resource-constrained x86 hardware
  • Experience with LLM-assisted software development tools (e.g., Claude Code, GitHub Copilot, JetBrains AI Assistant, or equivalent); demonstrated ability to use AI tools productively for code generation, refactoring, and test case development while maintaining engineering judgment and code quality standards
  • Familiarity with AI/ML libraries (PyTorch, TensorFlow); ability to integrate trained model inference into a pipeline without requiring deep ML expertise
  • Experience with Jupyter Notebooks and research enclave environments; ability to read and adapt research prototype code
  • Experience with simulation or synthetic data generation for pipeline testing purposes
  • Familiarity with Apache data science tools such as Spark or Dask for large-scale data processing

Relevant Certifications:
  • Certifications in software engineering, computer science, or related fields (e.g., Certified Software Development Professional (CSDP); Certified Scrum Developer (CSD); Red Hat Certified Enterprise Application Developer; Certified Secure Software Lifecycle Professional (CSSLP); C++ Certified Associate Programmer (CPA); Professional Software Developer Certification (PSD); etc.)

Global InfoTek, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
About Global InfoTek, Inc. Global InfoTek Inc. has an award-winning track record of designing, developing, and deploying best-of-breed technologies that address the nation's pressing cyber and advanced technology needs. GITI has rapidly merged pioneering technologies, operational effectiveness, and best business practices for over two decades.
Clearance Level: Public Trust
US Citizenship: Required
Job Classification: Full Time
Location: Remote
Years of Experience: 7-10 years of relevant experience
Education Level: BS Degree - experience may be considered in place of education requirement.
Briefly Describe the Work:
GITI is seeking a Lead RF Software Engineer to support Cyber Operations Research and Development on passive RF emitter identification and network analysis from real-time sensor data streams. The candidate will implement, test, and maintain components of production software pipeline - a stream ingestion, rollup, and post-processing system operating on NDF (Network Description File) data produced by TDMA network sensors in dense, contested RF environments. Working under the direction of the Principal Engineer and the Technical Lead. The Lead RF Software Engineer supports Cyber Operations by contributing to pipeline development across a range of functional areas including stream processing, database integration, display and reporting tools, simulation infrastructure, and CI/CD tooling. The role requires strong Python skills, comfort with air-gapped Linux environments, and the ability to work independently on well-defined components with minimal supervision in support of real world cyber operations.
Responsibilities:
  • Implement, test, and maintain assigned pipeline components including stream ingestion, rollup processing, database write, and batch post-processing modules in support of real world cyber operations
  • Develop and maintain browser-based visualization and reporting tools (track plots, waterfall displays, SmartBook report generation) that consume pipeline database output
  • Implement and maintain stream simulation infrastructure, including TDMA network mission log replay and stream generation at controllable rates for pipeline testing
  • Develop lightweight TNS simulator components: emitter and receiver models capable of following track plots and emitting in accordance with a network description
  • Contribute to database integration work on tactical-box-spec hardware, including MySQL schema design, query optimization, and performance benchmarking
  • Write comprehensive unit and integration tests for assigned components; implement and maintain CI/CD pipelines using GitLab to ensure functionality on hardware or in cloud environment
  • Identify and report performance bottlenecks in Python pipeline components; assist with porting mature components to Rust or C as directed
  • Perform basic Linux system administration on remote servers including package management, user configuration, and environment setup
  • Manage source code using GitLab; follow disciplined versioning, branching, and code review practices as established by the Principal Engineer
  • Produce clear technical documentation for implemented components including interface specifications, configuration guides, and test procedures
  • Participate in periodic technical check-ins with the program technical lead; share findings and flag blockers promptly

Career level with a complete understanding and wide application of technical principles, theories, and concepts. Working under general direction from the Principal Engineer, provides technical solutions to a wide range of well-defined problems and independently executes on assigned components. Bachelor's (or equivalent) with 7-10 years of experience, or a Master's with 5-7 years of experience.
Required Skills:
  • Strong proficiency in Python, with demonstrated experience in data processing pipelines, stream ingestion, or ETL development
  • Proficiency with Python data science libraries including NumPy, Pandas (or Polars), and scikit-learn
  • Experience with relational database development using MySQL, PostgreSQL, or SQLite, including schema design and query optimization
  • Experience parsing or generating binary serialization formats (FlatBuffers, Protocol Buffers, or equivalent)
  • Ability to develop, test, and debug on remote Linux servers via SSH using command-line tools and a modern IDE
  • Solid Linux operating system fundamentals including file system management, process control, and basic security hardening (Ubuntu)
  • Proficient in software engineering practices including Git/GitLab version control, unit testing, and CI/CD pipeline usage
  • Experience developing browser-based data visualization or reporting tools, or demonstrated ability to learn React/D3-based tooling on the job
  • Strong written and oral communication skills; ability to produce clear technical documentation for engineering audiences
  • Ability to work independently on assigned components with minimal supervision in a small, distributed team

Desired Skills:
  • Experience with TNS (Target Network System) sensor data formats and NDF ICD specifications
  • Familiarity with TDMA network protocols, time-division access architectures, and passive RF signal processing concepts
  • Experience with lightweight stream or message queue architectures (ZeroMQ, RabbitMQ, or equivalent)
  • Experience with Rust or Go for systems-level or performance-critical development on Linux
  • Experience with Polars or DuckDB for high-performance analytical workloads
  • Experience with performance profiling and optimization of Python pipelines on resource-constrained x86 hardware
  • Experience with LLM-assisted software development tools (e.g., Claude Code, GitHub Copilot, JetBrains AI Assistant, or equivalent); demonstrated ability to use AI tools productively for code generation, refactoring, and test case development while maintaining engineering judgment and code quality standards
  • Familiarity with AI/ML libraries (PyTorch, TensorFlow); ability to integrate trained model inference into a pipeline without requiring deep ML expertise
  • Experience with Jupyter Notebooks and research enclave environments; ability to read and adapt research prototype code
  • Experience with simulation or synthetic data generation for pipeline testing purposes
  • Familiarity with Apache data science tools such as Spark or Dask for large-scale data processing

Relevant Certifications:
  • Certifications in software engineering, computer science, or related fields (e.g., Certified Software Development Professional (CSDP); Certified Scrum Developer (CSD); Red Hat Certified Enterprise Application Developer; Certified Secure Software Lifecycle Professional (CSSLP); C++ Certified Associate Programmer (CPA); Professional Software Developer Certification (PSD); etc.)

Global InfoTek, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard t