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Neural Engineering Jobs in California (NOW HIRING)

Nvidia Corporation

Neural Graphics Engineer

Santa Clara, CA · On-site

$164K - $203K/yr

Neural techniques are reshaping how we render, simulate, and create visual content in real time ... Engineering, Physics, or a related field (or equivalent experience) * At least 2-4 years od ...

NVIDIA Corporation

Neural Graphics Engineer

Santa Clara, CA · On-site

$163K - $201K/yr

Neural techniques are reshaping how we render, simulate, and create visual content in real time ... Engineering, Physics, or a related field (or equivalent experience) * At least 2-4 years od ...

NVIDIA

Neural Graphics Engineer

Santa Clara, CA · On-site

$164K - $203K/yr

Required : • BS, MS, or PhD in Computer Science, Electrical Engineering, Physics, or a related ... neural rendering (NeRF, Gaussian splatting, differentiable rendering) or generative AI for 3D ...

Nvidia

Neural Graphics Engineer

Santa Clara, CA

$164K - $203K/yr

Neural techniques are reshaping how we render, simulate, and create visual content in real time ... Engineering, Physics, or a related field (or equivalent experience) * At least 2-4 years od ...

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 ... engineering fundamentals. You write efficient and maintainable code in Python and PyTorch, as well ...

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 ... engineering fundamentals. You write efficient and maintainable code in Python and PyTorch, as well ...

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 ... engineering fundamentals. You write efficient and maintainable code in Python and PyTorch, as well ...

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Neural Engineering information

See California salary details

$10

$19

$29

How much do neural engineering jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for neural engineering in California is $19.06, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $20.62 per hour, depending on experience, location, and employer.

What is neural engineering?

Neural engineering is a multidisciplinary field that combines engineering, neuroscience, and computational approaches to understand, repair, enhance, or interface with the nervous system. Neural engineers develop devices such as brain-computer interfaces, neural prosthetics, and neurostimulation systems to restore or improve neural function. This field plays an important role in advancing treatments for neurological disorders and in creating technologies that bridge the gap between machines and the human brain.

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

To thrive as a Neural Engineer, you need a strong background in neuroscience, biomedical engineering, and signal processing, typically supported by an advanced degree in a related field. Familiarity with programming languages (such as MATLAB or Python), neuroimaging tools, and hardware platforms used for neural interfacing is essential. Excellent problem-solving skills, collaboration, and clear communication set standout professionals apart in this multidisciplinary environment. These skills are crucial for developing innovative neural technologies and translating research into effective clinical or commercial solutions.

What Are Jobs in Neural Engineering?

Jobs in neural engineering focus on helping research and design biomedical devices like prosthetic limbs and artificial organs. In these roles, you may determine the best way to implement designs for each situation, figure out the best way to link mechanical systems to the human brain, and find the most cost-effective ways to build devices. Neural engineering differs from engineering regular prosthetic limbs in that they receive instructions directly from the brain and often send information back, rather than simply being attached to the body. This often involves programming specialized software and figuring out how to make devices that can teach the brain how to use them. In recent years, neural engineering has started to move out of the medical realm, and there may be more jobs of that nature in the future. Neural engineering is a specific type of biomedical engineering, but should not be confused with jobs in the broader category.

What are some common interdisciplinary challenges faced by neural engineers when collaborating with clinicians and data scientists?

Neural engineers frequently work on teams that include clinicians, data scientists, and hardware specialists, which can present unique interdisciplinary challenges. Effective communication is essential, as team members often have different technical backgrounds and priorities—clinicians focus on patient outcomes, while data scientists emphasize analytical accuracy. Bridging the gap between clinical needs and technical feasibility requires adaptability, openness to feedback, and a willingness to learn new concepts. Building strong collaborative relationships and participating in regular cross-functional meetings can help ensure that project goals are clearly understood and met by all stakeholders.
More about Neural Engineering jobs
What are the most commonly searched types of Neural Engineering jobs in California? The most popular types of Neural Engineering jobs in California are:
What are popular job titles related to Neural Engineering jobs in California? For Neural Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Neural Engineering jobs in California look for? The top searched job categories for Neural Engineering jobs in California are:
What cities in California are hiring for Neural Engineering jobs? Cities in California with the most Neural Engineering job openings:
Neural Engineering jobs near you
Infographic showing various Neural Engineering job openings in California as of July 2026, with employment types broken down into 14% Internship, and 86% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $39,648 per year, or $19.1 per hour.
Neural Graphics Engineer

Neural Graphics Engineer

Nvidia Corporation

Santa Clara, CA • On-site

$164K - $203K/yr

Full-time

Re-posted 23 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

Computer graphics is experiencing its most exciting transformation in decades. Neural techniques are reshaping how we render, simulate, and create visual content in real time - and we're just getting started.
At NVIDIA, our Neural Graphics team builds technologies at the intersection of AI and real-time rendering. We reach millions of developers and creators through products like Alpasim, open platforms like Slang, our shader language and compiler for portable GPU programming. We work on hard, meaningful problems with curiosity and collaboration - and we're looking for a Neural Graphics Engineer to grow with us. This is an opportunity to learn from some of the most accomplished people in graphics and AI, and to make a meaningful impact early in your career!
What You'll Be Doing:
  • 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

What We Need to See:
  • BS, MS, or PhD in Computer Science, Electrical Engineering, Physics, or a related field (or equivalent experience)
  • At least 2-4 years od 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

Ways to Stand Out from the Crowd:
  • 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

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until February 27, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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

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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