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Neural Rendering Jobs in Livermore, CA (NOW HIRING)

NVIDIA

Neural Graphics Engineer

Santa Clara, CA · On-site

$164K - $203K/yr

Responsibilities : • Implement and optimize neural graphics techniques within real-time rendering pipelines • Prototype neural rendering, differentiable graphics, and generative 3D approaches • ...

Nvidia Corporation

Neural Graphics Engineer

Santa Clara, CA · On-site

$164K - $203K/yr

Prototype neural rendering, differentiable graphics, and generative 3D approaches * Collaborate across teams to move ideas from concept to production * Contribute to our graphics software stack ...

Nvidia

Neural Graphics Engineer

Santa Clara, CA

$164K - $203K/yr

Prototype neural rendering, differentiable graphics, and generative 3D approaches * Collaborate across teams to move ideas from concept to production * Contribute to our graphics software stack ...

NVIDIA Corporation

Neural Graphics Engineer

Santa Clara, CA · On-site

$163K - $201K/yr

Prototype neural rendering, differentiable graphics, and generative 3D approaches * Collaborate across teams to move ideas from concept to production * Contribute to our graphics software stack ...

NEC Labs

MA - Researcher

San Jose, CA

Our research areas include autonomous driving, embodied AI, multimodal LLM agents, vision-language models, neural rendering and open-world perception and planning. We have a strong internship program ...

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Neural Rendering information

See Livermore, CA salary details

$16

$24

$41

How much do neural rendering jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for neural rendering in Livermore, CA is $24.75, according to ZipRecruiter salary data. Most workers in this role earn between $20.58 and $24.81 per hour, depending on experience, location, and employer.

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 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 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 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 popular job titles related to Neural Rendering jobs in Livermore, CA? For Neural Rendering jobs in Livermore, CA, the most frequently searched job titles are:
What job categories do people searching Neural Rendering jobs in Livermore, CA look for? The top searched job categories for Neural Rendering jobs in Livermore, CA are:
What cities near Livermore, CA are hiring for Neural Rendering jobs? Cities near Livermore, CA with the most Neural Rendering job openings:
Neural Rendering jobs near you
Infographic showing various Neural Rendering job openings in Livermore, CA as of July 2026, with employment types broken down into 1% Internship, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $51,480 per year, or $24.8 per hour.

Neural Graphics Engineer

NVIDIA

Santa Clara, CA • On-site

$164K - $203K/yr

Full-time

Re-posted 5 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 246 rated software companies

Job description

Job Summary:
NVIDIA is a leading technology company at the forefront of computer graphics innovation. They are seeking a Neural Graphics Engineer to implement and optimize neural graphics techniques, prototype new approaches, and contribute to their graphics software stack.
Responsibilities:
• Implement and optimize neural graphics techniques within real-time rendering pipelines
• Prototype neural rendering, differentiable graphics, and generative 3D approaches
• Collaborate across teams to move ideas from concept to production
• Contribute to our graphics software stack, including compilers, shaders, and runtime tools
Qualifications:
Required:
• BS, MS, or PhD in Computer Science, Electrical Engineering, Physics, or a related field (or equivalent experience)
• At least 2-4 years of practical experience and demonstrated ability in C++ and Python
• Coursework or project experience in computer graphics, machine learning, or computer vision
• A drive to learn, grow, and take on challenging problems
Preferred:
• Hands-on experience with neural rendering (NeRF, Gaussian splatting, differentiable rendering) or generative AI for 3D content
• Experience with PyTorch and real-time rendering engines
• Familiarity with graphics APIs (Vulkan, OpenGL, DirectX), shader programming (Slang, HLSL, GLSL), or compiler development
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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