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Neural Rendering Jobs in Washington (NOW HIRING)

Graphics Software Engineer

College Park, MD

$138.40K - $171K/yr

This position requires passion for real-time XR programming on cutting-edge hardware while closely integrating AI/ML for neural rendering, generative medical visualization, real-time inference, and ...

Post-Doctoral Associate

College Park, MD · On-site

$48.40K - $65.70K/yr

This postdoc will perform research on 3D scene reconstruction, novel view synthesis and inverse rendering, building on state of the art techniques such as neural radiance fields, Gaussian splatting ...

Neural Rendering information

What are the key skills and qualifications needed to thrive as a Neural Rendering Engineer, and why are they important?

To thrive as a Neural Rendering Engineer, you need a strong background in computer graphics, deep learning, and mathematics, generally with a degree in computer science, electrical engineering, or a related field. Experience with frameworks like PyTorch or TensorFlow, GPU programming (CUDA), and familiarity with 3D rendering engines is highly valuable. Strong problem-solving skills, creativity, and effective teamwork set exceptional candidates apart in this role. These competencies are crucial for developing innovative rendering solutions that bridge artificial intelligence and visual computing, enabling breakthroughs in graphics technology.

What are some common challenges faced by professionals working in Neural Rendering, and how can they be addressed?

Professionals in Neural Rendering often encounter challenges related to computational resource demands and the integration of novel algorithms into existing graphics pipelines. Handling large datasets and optimizing neural network architectures for real-time performance can also be complex. Collaboration with cross-functional teams—such as graphics engineers, researchers, and product managers—is essential to ensure solutions are both technically feasible and aligned with project goals. Staying updated with the latest research and leveraging open-source frameworks can help address these challenges effectively.

What is neural rendering?

Neural rendering is a cutting-edge technique in computer graphics and artificial intelligence that uses neural networks to generate, manipulate, or enhance images and videos, often producing photorealistic or novel visual content. Unlike traditional rendering methods, which rely heavily on physical modeling and computational geometry, neural rendering leverages deep learning algorithms to synthesize visual data from inputs like 3D models, images, or text descriptions. This technology is used in applications such as virtual reality, gaming, special effects, and creating digital avatars. Neural rendering can significantly reduce the computational cost and time needed for high-quality image synthesis, making it a transformative tool in visual computing industries.

What is the difference between Neural Rendering vs 3D Graphics Programmer?

AspectNeural Rendering3D Graphics Programmer
Required SkillsMachine learning, neural networks, deep learning frameworksGraphics APIs, shader programming, 3D modeling
Work EnvironmentResearch labs, AI-focused companies, tech startupsGame studios, visual effects companies, simulation firms
Industry UsageEmerging in AI-driven visualization and renderingEstablished in gaming, film, and simulation industries

Neural Rendering focuses on using neural networks and AI techniques to generate or enhance visual content, often requiring expertise in machine learning. In contrast, 3D Graphics Programmers develop traditional graphics algorithms, shaders, and models for real-time rendering. While both roles involve visual content creation, Neural Rendering is more research-oriented and AI-driven, whereas 3D Graphics Programming emphasizes technical implementation within graphics pipelines.

What are popular job titles related to Neural Rendering jobs in Washington? For Neural Rendering jobs in Washington, the most frequently searched job titles are:
Infographic showing various Neural Rendering job openings in Washington as of May 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, 1% Temporary, and 3% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Graphics Software Engineer

Umd

College Park, MD

$138.40K - $171K/yr

Full-time

Posted 10 days ago


Job description

Job Description SummaryOrganization's Summary Statement:
The University of Maryland Institute for Health Computing (IHC) merges the computational expertise, clinical expertise, biomedical innovation, health data and academic resources of the University of Maryland, College Park; the University of Maryland, Baltimore; and the University of Maryland Medical System to innovate health care delivery and support the Montgomery County life science community.
Job Summary:
We are building next-generation intelligent, immersive, high-performance tools for healthcare, and are looking for a highly motivated, performance-oriented software engineer to own the full development stack. This position requires passion for real-time XR programming on cutting-edge hardware while closely integrating AI/ML for neural rendering, generative medical visualization, real-time inference, and data-driven enhancements. Expect to do deep dives in C++/C#/Python coding, low-latency optimizations, GPU expertise, and developing massively parallel software to run on IHC's state-of-the-art supercomputer, while shipping production-grade immersive applications that transform surgical planning, training, clinical workflows, and diagnostics.
This is a builder-first role with over 80% time devoted to hands-on coding, software architecture, optimization, deployment, and iteration in a fast-moving, interdisciplinary environment. This position involves mentoring junior talent, maintaining mission-critical infrastructure, and collaborating with computer scientists and clinicians to build and deploy visual computing tools to revolutionize healthcare. This position is in a supportive, mission-driven, research-lab environment with mentorship from senior scientists, engineers, researchers, and professors, access to top-tier hardware, and opportunities for rapid professional development while contributing to health computing. This position is fully onsite and requires presence at the IHC office in North Bethesda.
Responsibilities/Duties:
Hands-on architect, developer, and optimizer: Architect, code, profile, and ship high-performance XR + AI visualization systems - including real-time neural rendering (Gaussian splatting, NeRF variants), AI-enhanced volume rendering, generative modeling, multi-modal data fusion, Unity/Unreal pipelines, and edge-deployed inferencing. Own end-to-end implementation from prototype to polished product, targeting 90+ FPS on XR hardware.
Infrastructure and platform engineering: Design, scale, and harden the institute's advanced XR + GPU-accelerated ML compute ecosystem for real-time visual computing pipelines, cross-platform deployment, and performance tooling.
Mentor, Accelerate, Learn, and Collaborate: Work closely with senior team members, contribute to code reviews, mentor undergrads as you level up in modern XR + AI workflows. Hands-on experiential teaching of specialized classes, and more informal hands-on instruction for faculty/users at IHC.
High-impact flex work on emerging priorities, keeping pace with
Minimum Qualification:
Education: Bachelor's Degree in Computer Science, Computer Engineering, or a closely related field.
Experience: Strong academic record with relevant coursework in real-time graphics, computer vision, XR development, or AI-integrated systems.
Knowledge, Skills, and Abilities:
Foundational AI/ML knowledge: PyTorch/TensorFlow basics, computer vision/graphics concepts.
Solid C++ proficiency (performance-oriented coding) with working knowledge of C#.
Comfortable Python usage for ML prototyping, scripting, data handling, and rapid experimentation.
Familiarity with Windows, Linux, macOS, and mobile platforms.
Strong communication skills for both technical and non-technical audiences.
Excellent problem-solver who enjoys debugging, profiling, troubleshooting, and making programs
run smoothly.
Ability to work collaboratively in a team environment and independently when needed.
Strong analytical skills and attention to detail.
Genuine excitement to code interactive, intelligent, and immersive tools that advance healthcare.
Preferences:
Master's Degree in Computer Science, Computer Engineering, or a closely related field.
Experience with AR/VR/XR devices.
Understanding of modern graphics APIs (Vulkan preferred, DirectX 12, Metal, or OpenGL) with real-time rendering experience.
Basic GPU optimization awareness, CUDA, compute shaders.
Hands-on experience building XR prototypes/apps in Unity3D and/or Unreal Engine
Familiarity with 3D capture/reconstruction (multi-camera, light fields, SLAM) + ML preprocessing.
Licenses/ Certifications: N/A
Physical Demands: N/AAdditional Job Details

Required Application Materials: Cover Letter, CV and List of References (minimum of 3)

Best Consideration Date: April 3, 2026

Posting Close Date: N/A

Open Until Filled: Yes

Financial Disclosure RequiredNo

For more information on Financial Disclosure, please visit Maryland's State Ethics Commission website.

DepartmentCMNS-College of Computer, Math & Natural SciencesWorker Sub-Type Faculty RegularSalary Range$100,000 - $110,000
Benefits Summary

For more information on Regular Faculty benefits, select this link.

Background Checks

Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regardingdisclosablebackground checkinformation. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.

Employment Eligibility

The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.

EEO Statement

The University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment. Please read the University's Equal Employment Opportunity Statement of Policy.

Title IX Non-Discrimination NoticeResources
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