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Neural Rendering Jobs in California (NOW HIRING)

Kodiak

World Model Research Scientist- Physical AI

Mountain View, CA · On-site

$190K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with neural rendering and view synthesis and an understanding of multi-view geometric consistency * Proficiency working with multimodal sensor data (camera, LiDAR, radar) and familiarity ...

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 ...

Humble Robotics

Simulation Engineer

San Francisco, CA · On-site

This work will work heavily with modern neural rendering approaches: Gaussian splatting, world models, and learned sensor models. We're a small team early in the build. You'll have real influence ...

Humble Robotics

Simulation Engineer

San Francisco, CA · On-site +1

This work will work heavily with modern neural rendering approaches: Gaussian splatting, world models, and learned sensor models. We're a small team early in the build. You'll have real influence ...

Zoom Video Communications

Video AI Engineer

San Jose, CA · On-site

$137K - $275K/yr

Implementing video, neural rendering, and 3D Gaussian Splatting algorithms with modular, well-organized, and production-ready code. * Optimizing video, generative, and 3D reconstruction algorithms to ...

LiveX AI Inc.

AI Engineer

Palo Alto, CA · On-site

$150 - $210/hr

Stay current with the latest research in generative video, multimodal AI, and neural rendering, and bring novel techniques into our stack. Qualifications: * 3+ years of hands‑on ML engineering ...

New

Waabi

Senior / Staff Graphics Software Engineer

San Francisco, CA · On-site +1

$155K - $269K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... neural rendering, 3D Gaussian Splatting, generative models, etc. - Collaborate with Waabi's autonomy and safety teams to improve the realism and diversity of Waabi World. - Have the opportunity to ...

Waabi

Senior / Staff Graphics Software Engineer

San Francisco, CA · On-site +1

$155K - $269K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... neural rendering, 3D Gaussian Splatting, generative models, etc. - Collaborate with Waabi's autonomy and safety teams to improve the realism and diversity of Waabi World. - Have the opportunity to ...

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Neural Rendering information

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 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 are popular job titles related to Neural Rendering jobs in California?

For Neural Rendering jobs in California, the most frequently searched job titles are:

What job categories do people searching Neural Rendering jobs in California look for?

The top searched job categories for Neural Rendering jobs in California are:

What cities in California are hiring for Neural Rendering jobs?

Cities in California with the most Neural Rendering job openings:

Neural Rendering jobs near you
Infographic showing various Neural Rendering job openings in California as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution.

Senior System Software Engineer, Interactive World Models

Nvidia

Santa Clara, CA • On-site

Full-time

Posted 28 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

At NVIDIA, FlashDreams is our foundational platform for the next generation of interactive world models. We work with the top interactive world model model makers, and the early world model adopters such as autonomous vehicles, robotics, medical training, and gaming to get these technologies into production. This role brings sits at the intersection of research and systems engineering, where we turn new ideas into reliable, high-performance systems for developers and customers. Interested in helping move interactive world models from research to real-world use? We'd love to hear from you!

What you'll be doing:

  • Design, build, and improve production-quality systems for world models, simulation, rendering, and real-time inference from prototype through release.

  • Connect generated worlds, reconstructed scenes, controllable simulation states, and evaluation loops into cohesive end-to-end systems, while improving performance, quality, scalability, and reliability on NVIDIA GPUs.

  • Collaborate with research, simulation, rendering, robotics, and autonomous-vehicle teams to make technical tradeoffs, integrate capabilities into downstream workflows, and own complex modules or cross-team projects that shape technical direction and roadmaps.

What we need to see:

  • BS, MS, or PhD in Computer Science, Electrical Engineering, Physics, or a related field, or equivalent experience.

  • 8+ years of relevant software engineering experience.

  • Experience in one or more relevant areas: world models, generative video, diffusion or flow-matching models, neural rendering, simulation, robotics, autonomous vehicles, computer vision, or large-scale ML systems.

  • Experience building and optimizing GPU-accelerated software with CUDA and modern ML frameworks such as PyTorch.

  • Demonstrated engineering judgment and a record of turning technically complex prototypes into reliable products through thoughtful tradeoffs, testing, and delivery, along with ownership of complex modules or cross-team projects and clear communication with partners.

Ways to stand out from the crowd:

  • Hands-on experience building, adapting, evaluating, or deploying world models, video-generation systems, neural simulation, generative 3D, neural rendering, Gaussian splatting, NeRFs, or reconstruction.

  • Experience with real-time or low-latency inference, distributed training or inference, performance profiling, GPU optimization, simulation, synthetic-data generation, robotics, autonomous vehicles, rendering, or digital-twin applications.

  • Contributions to open-source ML, graphics, simulation, or developer platforms; publications, patents, or other demonstrated technical leadership in a relevant area.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and talented people in the world working for us. If you're creative and passionate about developing cloud services we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 25, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

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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