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Neural Rendering Jobs (NOW HIRING)

Waabi

Research Engineer, Neural Rendering

San Francisco, CA · On-site +1

$134K - $235K/yr

To learn more visit: www.waabi.ai As a Research Engineer in Neural Rendering, you will create the next generation of multi-sensor rendering systems for autonomous driving. You will collaborate with ...

Waabi

Research Engineer, Neural Rendering

San Francisco, CA · On-site +1

$134K - $235K/yr

To learn more visit: www.waabi.ai As a Research Engineer in Neural Rendering, you will create the next generation of multi-sensor rendering systems for autonomous driving. You will collaborate with ...

Waabi

Research Engineer, Neural Rendering

San Francisco, CA · On-site +1

$134K - $235K/yr

To learn more visit: www.waabi.ai As a Research Engineer in Neural Rendering, you will create the next generation of multi-sensor rendering systems for autonomous driving. You will collaborate with ...

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 ...

Waabi

Research Scientist, Neural Reconstruction

OR · On-site +1

$155K - $269K/yr

This role focuses on 3D/4D neural reconstruction and rendering, including 3DGS/NeRF, neural scene representation, and generalizable reconstruction models. Your work will directly power Waabi World ...

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How much do neural rendering jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for neural rendering in the United States is $21.10, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $21.15 per hour, depending on experience, location, and employer.

How much does a 3D renderer make?

A 3D renderer's salary varies based on experience, location, and industry, but typically ranges from $40,000 to $80,000 annually. Skilled professionals with expertise in neural rendering and 3D modeling tools can earn higher salaries, especially in specialized or high-demand sectors.

What jobs can you do with neural engineering?

Neural engineering offers roles such as neural engineer, research scientist, biomedical engineer, and neurotechnology developer. These jobs typically involve designing neural interfaces, developing brain-computer interfaces, and working with neural data analysis, often requiring knowledge of neuroscience, signal processing, and programming tools like MATLAB or Python.

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.

Which 3 jobs will survive AI?

Neural rendering is a specialized field within AI and computer graphics, and jobs such as AI researchers, software engineers with expertise in machine learning, and 3D artists are likely to persist due to their complex, creative, and technical nature. These roles require advanced skills, continuous learning, and adaptation to new tools, making them less susceptible to automation by AI. Professionals in these areas should focus on developing expertise in AI frameworks, programming languages, and domain-specific knowledge to remain competitive.

Is ML a high paying job?

Machine learning (ML) roles, including those in neural rendering, are generally well-compensated due to high demand for specialized skills in AI, data analysis, and programming. Salaries vary based on experience, location, and company, but many ML positions offer competitive pay and benefits compared to other tech roles.

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.
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Neural Rendering jobs near you
Infographic showing various Neural Rendering job openings in the United States as of June 2026, with employment types broken down into 57% Full Time, 41% Part Time, and 2% Temporary. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $43,888 per year, or $21.1 per hour.

Research Engineer, Neural Rendering

Waabi

San Francisco, CA • On-site, Remote

$134K - $235K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 23 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
 
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

As a Research Engineer in Neural Rendering, you will create the next generation of multi-sensor rendering systems for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable rendering and content creation solutions for self-driving. We value original, high-impact ideas and rigorous experimental validation.
 
You will...
- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a best-in-class multi-sensor simulation stack.
- Use cutting edge techniques in reconstruction, neural rendering and generative AI to build large-scale, efficient digital twins from real-world camera, LiDAR, and RADAR data. You will work on shipping next-generation simulation software which mixes traditional real-time rendering with NeRF, 3D Gaussian Splatting, diffusion  models, etc.
- Collaborate with Waabi's autonomy and safety teams to improve the realism and diversity of Waabi World.
- Have the opportunity to make contributions to high-impact research papers submitted to top conferences or journals (CVPR, ECCV, ICCV, SIGGRAPH, NeurIPS, ICLR, ICRA, RA-L).
 
Qualifications:
- Shipping Production Software. You have experience in reading and developing production quality software, versus only creating prototypes and proofs of concept. You are comfortable working with large datasets for ML applications.
- Deep understanding of ML or neural rendering. You are familiar with the internals of modern machine learning (diffusion models, vision foundational models) or neural rendering (NeRF, 3DGS) systems beyond just application. You understand the limitations of current methods and the different trade-offs between paradigms.
- Cloud Machine Learning. Experience designing, launching, and debugging GPU machine learning jobs in the cloud (PyTorch, TensorFlow).
- Strong software engineering fundamentals. You write efficient and maintainable code in Python and PyTorch, as well as in at least one native systems language such as C++ or Rust.
- The US yearly salary range for this role is: $134,000 - $235,000 USD
 
- The Canada salary range for this role is: $171,000 - $270,000 CAD
 
In addition to competitive perks & benefits, Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations.  Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 
 
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
 
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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