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3D Imaging Technologist Remote Jobs in Reston, VA

YO AI Labs

SolidWorks Expert - Remote

Washington, DC · Remote

$40 - $130/hr

... AI technology . In this role, you will help improve next-generation AI systems by creating ... Create fully parametric 3D CAD models of mechanical parts and assemblies using SolidWorks based on ...

Parsons

Bridge Designer, Principal

Washington, DC · On-site +1

Prepare 3D models and plan production using industry-standard platforms (e.g., MicroStation ... Associate's degree in Drafting/Design Technology, Civil/Structural Technology, or related field

Danaher

Sr. AI Engineer

Washington, DC · On-site +1

$118K - $162K/yr

At Danaher, you can build an incredible career at a leading science and technology company, where ... This position is remote in Eastern US. In this role, you will have the opportunity to:

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3D Imaging Technologist Remote information

See Reston, VA salary details

$810

$2.2K

$3.3K

How much do 3d imaging technologist remote jobs pay per week?

As of Sep 2, 2026, the average weekly pay for 3d imaging technologist remote in Reston, VA is $2,206.46, according to ZipRecruiter salary data. Most workers in this role earn between $1,671.15 and $2,700.00 per week, depending on experience, location, and employer.

What is a 3d imaging technologist remote?

A 3D Imaging Technologist working remotely is responsible for processing, analyzing, and enhancing 3D medical images, such as CT or MRI scans, to assist radiologists and other healthcare professionals. They use specialized imaging software to create detailed 3D reconstructions that help with diagnosis, treatment planning, and surgical guidance. While working remotely, they collaborate with medical teams via digital platforms to ensure accuracy and timely delivery of imaging data. This role requires strong technical skills, attention to detail, and knowledge of anatomy and medical imaging protocols.

What are typical daily responsibilities for a remote 3d imaging technologist?

As a remote 3D Imaging Technologist, your daily tasks usually include processing and analyzing medical imaging data, creating 3D reconstructions, and providing reports or visualizations for physicians or radiologists. You may participate in virtual meetings with the clinical team to discuss case findings and collaborate on patient care plans. Ensuring data confidentiality and adhering to best practices for secure imaging transfer is also crucial. This role often requires a balance of independent work and clear communication with healthcare professionals across various locations.

What are the key skills and qualifications needed to thrive in the 3d imaging technologist remote position?

To excel as a 3D Imaging Technologist Remote, a solid background in medical imaging, 3D reconstruction, and digital image processing, often supported by a degree in radiologic technology or a related field, is essential. Familiarity with advanced imaging software, such as OsiriX, 3D Slicer, or GE/MRI systems, along with relevant certifications like ARRT, is typically required. Strong attention to detail, excellent communication skills, and the ability to work independently are valuable soft skills in this role. These qualifications ensure accurate analysis and reporting of imaging data and smooth collaboration with healthcare professionals, all while effectively managing tasks in a remote work environment.

What are popular job titles related to 3D Imaging Technologist Remote jobs in Reston, VA?

For 3D Imaging Technologist Remote jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching 3D Imaging Technologist Remote jobs in Reston, VA look for?

The top searched job categories for 3D Imaging Technologist Remote jobs in Reston, VA are:

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Cities near Reston, VA with the most 3D Imaging Technologist Remote job openings:

3D Imaging Technologist Remote jobs near you
Infographic showing various 3D Imaging Technologist Remote job openings in Reston, VA as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% Remote job distribution, with an average salary of $114,736 per year, or $55.2 per hour.

Senior Machine Learning Engineer, Radar & Remote Sensing

NT Concepts

Chantilly, VA • On-site, Remote

$128K - $177K/yr

Full-time

Posted 13 days ago

Job description

Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in National Security. We're looking for the best and the brightest to join us in supporting this mission. If meaningful work, initiative, creativity, and continuous self-improvement are important to your career, join our growing team and discover What's Next for you. We tackle hard problems to meet our clients' needs.

We are looking for an applied engineer to own our radar and ML technical stack. This is a blended role at the intersection of radar/SAR simulation, machine learning, scientific software, and compute infrastructure.

The ideal candidate is not a pure data scientist or a pure signal processing engineer. They are a technical owner who can move across the stack: from radar simulations and data preprocessing to ML model development, local GPU/compute setup, and hand-offs of radar products to software and hardware teams.

Clearance: Active TS/SCI clearance. US Citizenship is required.

Location: Chantilly, VA (Monday-Thursday Onsite & Friday Remote)

Responsibilities: 

  • Act as a technical liaison, fostering effective communication and collaboration between radar engineering, machine learning, software engineering, and operation teams. 
  • Develop and maintain robust radar and SAR simulation pipelines, including synthetic data generation, scene/return modeling, and validation workflows.
  • Design, build and refine end-to-end ML models and pipelines for radar-related tasks, including preprocessing, training, evaluation, and deployment-ready packaging.
  • Utilize and analyze defense-focused datasets, including radar, 3D models, Electro-Optical/Infrared (EO/IR), and sensing-adjacent data.
  • Create radar products and technical deliverables for internal software teams and hardware partners, including APIs, data schemas, containers, documentation, and integration guidance.
  • Design, configure, and optimize local compute environments, including GPU/eGPU setups, remote compute, storage, networking, containerization, and benchmarking.
  • Support ML inference/training on constrained or embedded compute, with awareness of systems such as RFSoCs, FPGAs, and related hardware constraints.
  • Collaborate with RF/hardware partners to support internal RF code processing, radar outputs, and productization of deployable radar hardware
  • Help deploy and maintain web applications and internal tools on classified or restricted networks.
  • Contribute to technical writing, SBIR proposals, and system documentation.

 Required Qualifications: 

  • Deep experience in Synthetic Aperture Radar, non-imaging radar, remote sensing, or signal processing
  • Solid understanding of radar/SAR fundamentals, including:
    • I/Q and complex-valued data
    • Simulation techniques
    • Image formation algorithms and radar-to-image pipelines
    • Coherent vs. incoherent processing
  • Proven track record of experience with radar or remote sensing simulations
  • Strong proficiency with scientific Python libraries:
    • NumPy, PyTorch, SciPy, Matplotlib, Jupyter, and related scientific stacks
  • Demonstrated ability to build end- to-end ML pipelines encompassing:
    • Data preprocessing
    • Training
    • Evaluation
    • Versioning
    • Packaging
    • Hand-off to other engineers
  • Hands-on experience with GPU compute, such as:
    • PyTorch
    • CUDA
    • NVIDIA tooling
    • Remote GPU Servers
    • Local GPU compute
  • Ability to explain radar/ML concepts to non-radar engineers and produce clear technical deliverables
  • Adherence to robust software engineering principles and best practices (e.g. clean code, testing, version control).
  • Exceptional communication skills, with the ability to clearly articulate complex radar and ML concepts to both technical and non-technical audiences, and to produce high-quality technical documentation and deliverables.

 Preferred Skills/Experience:

  • Experience with Xpatch simulations specifically
  • Experience with CAD and or artistic 3D modeling skills
  • Experience with EO/IR or multi-sensor fusion
  • Experience with adversarial imaging AI
  • Understanding of RFSoCs, FPGAs, HLS, quantization, or edge deployment constraints
  • Experience designing or optimizing local compute servers / GPU clusters / eGPU configurations
  • Experience working with RF hardware partners or hardware-in-the-loop systems
  • Experience with LLMs, LoRA fine-tuning, or local model deployment for niche tasks
  • Experience with container computing and orchestration

Physical Requirements: 

  • Prolonged periods sitting at a desk and working on a computer 
  • Must be able to lift up to 10-15 pounds at time 

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