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3D Rendering Manager Jobs in Washington (NOW HIRING)

Dewberry

BIM Manager (Civil 3D)

Fairfax, VA

Manage Civil 3D model data environments and model health , including reference strategy, Xrefs ... Experience in graphic design, modeling, rendering, animations and other visualization development

Dewberry

BIM Manager (Civil 3D)

Fairfax, VA · On-site

$82K - $105K/yr

Manage Civil 3D model data environments and model health , including reference strategy, Xrefs ... Experience in graphic design, modeling, rendering, animations and other visualization development

Hksinc

Sr. Facade Designer

Washington, DC · On-site

$115K - $123K/yr

Oversees the development of and may modify and/or review graphic presentations, 3D rendering and ... Works with respective teams to manage client expectations, team communication, and consultant ...

BigBear.ai

Senior Front End Angular Engineer

Mclean, VA · On-site

$125K - $172K/yr

Experience with Three.js or WebGL-based 3D rendering * Familiarity with Golden layout ... supply chain management, and digital identity. Customers and partners rely on Bigbear.ai ...

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3D Rendering Manager information

What are the key skills and qualifications needed to thrive as a 3D Rendering Manager, and why are they important?

To thrive as a 3D Rendering Manager, you need expertise in 3D modeling, rendering techniques, and a background in architecture, design, or visual arts, often supported by a relevant degree. Mastery of industry-standard software such as 3ds Max, V-Ray, Blender, and project management tools is typically required. Strong leadership, time management, and communication skills help effectively coordinate teams and translate client visions into final deliverables. These skills are crucial for delivering high-quality visuals on time and ensuring client satisfaction in a competitive field.

What are the typical challenges a 3D Rendering Manager faces when coordinating large visualization projects?

A 3D Rendering Manager often encounters challenges such as balancing tight deadlines with high-quality output, managing a diverse team of artists and technical staff, and ensuring clear communication across departments. Overseeing multiple projects simultaneously requires strong organizational skills and the ability to prioritize tasks effectively. Additionally, keeping up with rapidly evolving rendering software and hardware technologies is crucial to maintain a competitive edge and deliver innovative solutions.

What does a 3D Rendering Manager do?

A 3D Rendering Manager oversees the creation of high-quality visual renderings, typically for industries like architecture, gaming, film, or product design. They lead teams of 3D artists and technical specialists, coordinating workflows, ensuring project deadlines are met, and maintaining visual consistency across projects. Additionally, they may interact with clients to understand project requirements and provide creative direction. Their role often involves both technical expertise in rendering software and strong leadership skills to manage teams effectively.
What are the most commonly searched types of 3D Rendering jobs in Washington? The most popular types of 3D Rendering jobs in Washington are:
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3D Rendering Manager jobs near you

NIST PREP Research Scientist in Performance Evaluation of AI Capabilities in Autonomous and Human-Ro

Southeastern Universities Research Association

Gaithersburg, MD • On-site

$102K - $105K/yr

Full-time

Re-posted 20 days ago

Job description

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Title: Performance Evaluation of AI Capabilities in Autonomous and Human-Robot Interaction (HRI) Systems
The work will entail: To support the National Institute of Standards and Technology's Measurement Science for Manufacturing Robotics and Autonomous Systems (MSRAS) Program. The focus of this role is to advance standard test methods, metrics, and evaluation tools for artificial intelligence, machine learning, and advanced autonomy within human-robot environments, ensuring these systems operate with transparent, verifiable, and securely integrated decision-making frameworks.
U.S. Citizen Preferred
Key responsibilities will include but are not limited to:
  • Conducting state-of-the-art measurement science research in robotics, advanced autonomy, and artificial intelligence systems.
  • Utilizing deep learning, large language models (LLMs), reinforcement learning, and unsupervised machine learning techniques to enhance robot capabilities, human objective prediction, and decision-making architectures.
  • Developing verification methods, transparent evaluation frameworks, and performance metrics to ensure robotic AI systems and automated sorting or ranking methodologies are inspectable and risk-aware.
  • Implementing advanced filtering techniques and symbolic spatial relation models to optimize tracking, navigation, and behavioral classification in highly dynamic environments.
  • Programming, simulating, and validating physical and simulated autonomous systems using a variety of modern software, libraries, and probabilistic frameworks.
  • Helping develop standards, benchmark scenarios, and performance metrics for human-robot interaction (HRI), autonomous systems, and cooperative robotics integrated into complex environments.
  • Developing test apparatuses, digital twins, and virtual/physical testbeds using 3D rendering, CAD, and sensor fusion tools to validate repeatability and reproducibility.
  • Collaborating with interdisciplinary teams to design and optimize systems while publishing peer-reviewed research results in high-impact journals and international conferences.

Qualifications
  • Ph.D. degree in Computer Science, Information and Computer Science, Modeling and Simulation Engineering, Aerospace Engineering, or a closely related quantitative field.
  • Experience in: Deep learning models, large language models (LLMs), unsupervised clustering, autoencoders, probabilistic programming, AI planning tools, human-robot interaction, activity/intent recognition, path planning algorithms, state estimation, algorithmic auditing, explainable AI frameworks, usability studies, human-in-the-loop validation, risk-aware system design, 3D rendering, discrete event simulation, motion capture data integration, and inertial navigation system architectures.
  • Proficiency in: Python, C/C++, Java, MATLAB, exposure to functional or specialized languages (e.g., Common Lisp), PyTorch, TensorFlow, ROS, OpenGL, probabilistic graphical libraries, LaTeX, 3D CAD modeling, 3D Printing workflow management, and modern developer tooling.

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0004857

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