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Neural Rendering Jobs in Santa Clara, CA (NOW HIRING)

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 ...

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 ...

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Neural Rendering information

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How much do neural rendering jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for neural rendering in Santa Clara, CA is $24.78, according to ZipRecruiter salary data. Most workers in this role earn between $20.62 and $24.86 per hour, depending on experience, location, and employer.

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 cities near Santa Clara, CA are hiring for Neural Rendering jobs?

Cities near Santa Clara, CA with the most Neural Rendering job openings:

Tech Lead Research Scientist/Engineer, Neural Graphics and World Models - TikTok

TikTok

San Jose, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 11 days ago


TikTok rating

8.2

Company rating: 8.2 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

107th of 245 rated software companies


Job description

Responsibilities
About the Team Join the AI-3D engine team, where we push the boundaries of digital interaction by developing a proprietary next-generation neural engine for games and other interactive content experiences across TikTok and future creative platforms. Our goal is to move beyond traditional graphics pipelines, where geometry, animation, physics, materials, lighting, and rendering are primarily driven by handcrafted systems. We are exploring an AI-native graphics engine in which learned systems can generate and represent scenes, animate characters, simulate behavior, synthesize visual output, and continuously update interactive worlds in response to user intent and changing context. This engine should enable digital worlds that are persistent, controllable, physically coherent, editable, and responsive. We are looking for a Tech Lead Research Scientist / Engineer to develop AI models, neural representations, data strategies, and evaluation methods for our neural graphics system. This is a hands-on research role for candidates who combine current ML expertise with depth in 3D or graphics domain. Depending on your primary focus track, you may define research directions and build AI models, data strategies, evaluation systems, or interactive prototypes across generative modeling, world models, 3D modeling and representations, animation, simulation, and rendering. Strong candidates combine research judgment with hands-on engineering ability: they can identify an important modeling problem, translate it into concrete research and engineering milestones, run rigorous experiments, and work with engineering teams to turn successful results into interactive, reliable engine capabilities. Job Responsibilities - Lead research directions in one or more areas of neural graphics, world models, 3D modeling, animation, simulation, or rendering. - Develop, train, adapt, and evaluate AI models and representations for interactive graphics and world-generation systems. - Define data and evaluation strategies that connect model behavior to quality, controllability, coherence, and interactive performance. - Build research prototypes and collaborate with engineering teams to bring successful models into real-time engine workflows. - Analyze results, identify technical risks, and translate research findings into clear next steps for model, data, and system development. - Produce reproducible research artifacts, communicate technical direction, and mentor team members.
Qualifications
Minimum Qualifications - PhD/MS, or equivalent research experience in machine learning, computer graphics, robotics, applied mathematics, or a related technical field. - 5 years of relevant research or industry experience in neural graphics, generative AI, computer graphics, world models, or a closely related domain; doctoral research may count toward this experience. - Strong, up-to-date knowledge of modern machine learning, with deep expertise in at least one area of model architecture, training, data strategy, evaluation, or scaling and hands-on experience training or adapting generative models such as variational autoencoders, latent tokenizers, diffusion or flow-matching models, diffusion transformers, autoregressive models, or multimodal transformers. - Engineering fluency with ML frameworks such as PyTorch or JAX, with practical understanding of model development, representation learning, model scaling, distributed training, and pre-training and post-training tradeoffs. - Deep expertise in at least one of the following AI-for-graphics areas: 3D modeling, asset generation, or 3D representations; animation, motion generation, or character behavior; simulation, physical AI, or neural simulation; rendering or neural rendering; world models or video prediction; or graphics and game-engine workflows. - Demonstrated ability to formulate original hypotheses, design controlled experiments, and connect data composition, model behavior, and evaluation results to technical decisions. - Ability to collaborate with engineering teams to translate research prototypes into engine pipelines while preserving model quality, controllability, and interactive performance. Preferred Qualifications - Publications at leading research venues such as SIGGRAPH, CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, RSS, CoRL, or related top-tier conferences. - Experience creating novel model architectures, training recipes, data strategies, or evaluation methods for AI-for-graphics systems. - Experience with 3D or world generation conditioned on text, images, video, actions, or structured scene inputs, including controllability or multimodal alignment. - Experience with reinforcement learning, preference optimization, imitation learning, or model-based control for interactive world models, where relevant to the focus track. - Experience moving models into real-time graphics or engine workflows, including distributed training or inference optimization for interactive use.
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $254400 - $588000 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

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