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

Develop fully parametric 3D CAD models of mechanical parts and assemblies using Autodesk Inventor ... Practical experience applying GD&T (ASME Y14.5 or equivalent) in production environments. * Proven ...

Ability to work in a 3D model-based environment and produce 2D deliverables from 3D models * Soft ... Ability to work collaboratively in a multi-disciplinary team and coordinate with remote team ...

... Work Environment * On-site role in Washington, DC (remote work not available) * Occasional evening and weekend commitments required Equal Opportunity Duke Ellington School of the Arts and The ...

Bachelor's degree required, ideally in Marketing, Business, Communications, Liberal Arts, or a ... Comfortable working independently in a primarily remote environment while collaborating effectively ...

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Remote 3D Environment Artist information

What is a remote 3D environment artist?

A Remote 3D Environment Artist is a professional who creates digital 3D environments, such as landscapes, buildings, and atmospheric settings, for use in video games, films, virtual reality, or other multimedia projects, while working from a remote location. They use specialized software to model, texture, and light scenes, collaborating with teams virtually to ensure the environments fit the project's style and technical requirements. This role requires strong artistic skills, technical proficiency, and the ability to communicate effectively online.

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

To thrive as a Remote 3D Environment Artist, you need strong skills in 3D modeling, texturing, lighting, and composition, typically supported by a portfolio and experience with art or design degrees. Proficiency in industry-standard tools like Autodesk Maya, Blender, Substance Painter, and game engines such as Unreal Engine or Unity is essential. Creativity, attention to detail, effective communication, and the ability to collaborate remotely are standout soft skills for this role. These skills ensure the creation of visually compelling, technically sound environments that meet project requirements and facilitate smooth teamwork in a remote setting.

How does a remote 3D environment artist effectively collaborate with team members despite working from different locations?

Remote 3D Environment Artists typically work closely with art directors, game designers, and other artists using collaboration tools like Slack, Trello, and cloud-based asset management systems. Regular video meetings and screen-sharing sessions help ensure creative alignment and timely feedback. It's important to maintain clear communication, proactively share work-in-progress, and be open to receiving and implementing feedback. Many studios also establish clear pipelines and documentation, which help remote artists stay integrated with the team and meet project milestones efficiently.

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

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

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

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

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

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

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

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

Infographic showing various Remote 3D Environment Artist job openings in Washington as of August 2026, with employment types broken down into 66% Full Time, 17% Part Time, and 17% 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 14 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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