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Remote Blender 3D Jobs in Virginia (NOW HIRING)

Remote Blender 3D information

What is a remote Blender 3D job?

Remote Blender 3D jobs are positions that involve using Blender, a popular open-source 3D creation software, to create models, animations, visual effects, or other digital assets while working from a remote location. Professionals in these roles may work on projects for video games, movies, advertising, architectural visualization, or product design. Remote Blender 3D artists collaborate with teams or clients through online communication tools, sharing files and feedback over the internet. These jobs require strong skills in Blender, a reliable computer, and good time management to meet deadlines independently. Many remote Blender 3D opportunities are freelance, contract-based, or with companies that support distributed workforces.

How does a remote Blender 3D artist effectively collaborate with team members across different locations?

As a Remote Blender 3D artist, collaboration typically occurs through a combination of online project management tools, version control systems, and regular video meetings. Artists share project files via cloud storage or platforms like Git, ensuring everyone is working with the latest assets. Clear communication is essential, so teams often use chat and feedback tools to discuss revisions, deadlines, and creative direction. This setup allows remote artists to stay aligned with animators, designers, and project managers, while maintaining flexibility in their work environments.

What are the key skills and qualifications needed to thrive as a remote Blender 3D artist, and why are they important?

To thrive as a Remote Blender 3D Artist, you need strong proficiency in 3D modeling, texturing, rendering, and animation, typically demonstrated by a portfolio and relevant experience. Familiarity with Blender software, version control tools like Git, and, in some cases, additional plugins or scripting (Python) is essential. Creative problem-solving, self-motivation, and effective communication are crucial soft skills for remote collaboration and meeting project goals. These skills ensure the delivery of high-quality 3D assets and smooth teamwork in a distributed work environment.

What is the difference between Remote Blender 3D vs Remote 3D Modeler?

AspectRemote Blender 3DRemote 3D Modeler
Required SkillsProficiency in Blender, 3D modeling, texturing, rendering3D modeling, texturing, sometimes animation, using various software
Work EnvironmentPrimarily uses Blender software, often in animation, game design, or visualization projectsUses multiple 3D software tools, focus on creating 3D assets for different industries
Industry UsageAnimation, game development, product visualizationGame design, film, architecture, product design

Remote Blender 3D specialists focus on creating 3D assets using Blender, often in animation or visualization projects. Remote 3D Modelers may work across various software platforms and industries, focusing on building 3D models for multiple applications. While both roles require strong modeling skills, Blender experts are specifically proficient in Blender, whereas 3D Modelers may use diverse tools and techniques.

What are the most commonly searched types of Blender 3D jobs in Virginia?

The most popular types of Blender 3D jobs in Virginia are:

What are popular job titles related to Remote Blender 3D jobs in Virginia?

For Remote Blender 3D jobs in Virginia, the most frequently searched job titles are:

What cities in Virginia are hiring for Remote Blender 3D jobs?

Cities in Virginia with the most Remote Blender 3D job openings:

Infographic showing various Remote Blender 3D job openings in Virginia as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% Remote job distribution.

Senior Machine Learning Engineer, Radar & Remote Sensing

NT Concepts

Chantilly, VA • On-site, Remote

$128K - $177K/yr

Full-time

Posted 3 days ago

New


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 

#JT