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Remote 3D Rigging Artist Jobs in Washington (NOW HIRING)

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Remote 3D Rigging Artist information

What is a remote 3D rigging artist?

A Remote 3D Rigging Artist is a digital artist who specializes in creating the skeletal frameworks (rigs) for 3D models, enabling them to move realistically in animations or video games, while working from a location outside a traditional studio setting. They design and implement control structures for characters or objects, allowing animators to manipulate movements efficiently. Remote rigging artists collaborate with modelers, animators, and technical directors using online tools and platforms to ensure rigs meet project requirements. This role requires strong technical skills, familiarity with 3D software like Maya or Blender, and effective communication for remote teamwork.

What are the key skills and qualifications needed to thrive as a remote 3D rigging artist?

To thrive as a Remote 3D Rigging Artist, you need expertise in character anatomy, strong understanding of animation principles, and proficiency with 3D modeling, typically supported by a degree in animation, game design, or a related field. Mastery of industry-standard software such as Autodesk Maya, Blender, and experience with scripting languages like Python or MEL are highly valued. Strong problem-solving skills, clear communication, and the ability to collaborate remotely make candidates stand out. These skills ensure the creation of flexible, efficient rigs that meet production needs and facilitate seamless teamwork in distributed environments.

What are some common challenges faced by remote 3D rigging artists when collaborating with animation teams?

Remote 3D Rigging Artists often face challenges related to communication and feedback, as they are not physically present with the animation or modeling teams. Ensuring rigs function properly across different software versions and pipelines can also be complex. To overcome these challenges, it's important to maintain clear documentation, use version control systems, and schedule regular virtual meetings for feedback and troubleshooting. Building strong relationships with animators and technical directors remotely is key to producing high-quality rigs that meet project requirements.

What are the most commonly searched types of 3D Rigging Artist jobs in Washington?

The most popular types of 3D Rigging Artist jobs in Washington are:

What are popular job titles related to Remote 3D Rigging Artist jobs in Washington?

For Remote 3D Rigging Artist jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Remote 3D Rigging Artist jobs in Washington look for?

The top searched job categories for Remote 3D Rigging Artist jobs in Washington are:

What cities in Washington are hiring for Remote 3D Rigging Artist jobs?

Cities in Washington with the most Remote 3D Rigging Artist job openings:

Remote 3D Rigging Artist jobs near you
Infographic showing various Remote 3D Rigging Artist job openings in Washington as of August 2026, with employment types broken down into 71% Full Time, 6% Part Time, 6% Temporary, and 17% Contract. Highlights an 100% Remote job distribution.

Senior Machine Learning Engineer, Radar & Remote Sensing

Chantilly, VA • On-site, Remote

NT Concepts
IT Services • 51 - 200 employees
Learn more about NT Conceptsexternal

$128K - $177K/yr

Full-time

Posted 5 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 

#JT

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