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Neural Science Jobs (NOW HIRING)

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 ... PhD in Computer Science, Electrical Engineering, Physics, or a related field (or equivalent ...

Nvidia

Neural Graphics Engineer

Santa Clara, CA

$164K - $203K/yr

... 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 ...

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 ... PhD in Computer Science, Electrical Engineering, Physics, or a related field (or equivalent ...

Nvidia

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 ... PhD in Computer Science, Electrical Engineering, Physics, or a related field (or equivalent ...

Waabi

Research Engineer, Neural Rendering

San Francisco, CA · On-site +1

$134K - $235K/yr

You will collaborate with our team of world-renowned scientists and engineers to build innovative ... neural rendering and generative AI to build large-scale, efficient digital twins from real-world ...

Waabi

Research Engineer, Neural Rendering

$134K - $235K/yr

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 ...

Waabi

Research Engineer, Neural Rendering

San Francisco, CA · On-site +1

$134K - $235K/yr

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 ...

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Neural Science information

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$24K

$104.6K

$194.5K

How much do neural science jobs pay per year?

As of Sep 9, 2026, the average yearly pay for neural science in the United States is $104,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $158,000.00 per year, depending on experience, location, and employer.

What is neural science?

Neural science, also known as neuroscience, is the study of the nervous system, including the brain, spinal cord, and networks of neurons. It seeks to understand how these systems function at molecular, cellular, and behavioral levels, and how they control thought, emotion, and behavior. Neural science combines biology, psychology, chemistry, computer science, and other fields to explore how the brain processes information and how neurological disorders can be treated. Careers in neural science can involve research, clinical practice, or technology development related to brain health and cognitive function.

What are some common challenges faced by neural scientists when conducting research, and how can they be addressed?

Neural scientists often encounter challenges such as securing funding for long-term studies, dealing with complex data analysis, and ensuring ethical treatment of subjects. Collaborating closely with interdisciplinary teams—such as computer scientists, engineers, and clinicians—can help address technical and analytical hurdles. Additionally, staying current with advancements in neuroimaging and data processing tools, and participating in professional networks, can provide valuable support and resources for overcoming these challenges.

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

To thrive as a Neural Scientist, you need a deep understanding of neuroscience, biology, and research methodologies, typically supported by an advanced degree (PhD or MD) in a related field. Familiarity with laboratory techniques, neuroimaging tools (like MRI or EEG), and data analysis software such as MATLAB or Python is essential. Critical thinking, problem-solving, and strong communication skills help in interpreting complex data and collaborating with multidisciplinary teams. These skills are crucial for advancing scientific knowledge, conducting impactful research, and effectively sharing discoveries within the field.

What is the difference between Neural Science vs Neuroscience?

AspectNeural ScienceNeuroscience
Required CredentialsBachelor's or Master's in Neuroscience, Psychology, or related fieldsBachelor's or Master's in Neuroscience, Biology, or related fields
Work EnvironmentResearch labs, universities, healthcare settingsResearch institutions, hospitals, academic settings
Industry UsageFocuses on neural mechanisms, brain functions, neural networksBroad study of the nervous system, including neural and behavioral aspects

Neural Science and Neuroscience are closely related fields that often overlap. Neural Science typically emphasizes understanding neural mechanisms and brain functions at a detailed level, often with a focus on neural networks and systems. Neuroscience is a broader discipline that encompasses the study of the entire nervous system, including behavioral and cognitive aspects. Both fields require similar educational backgrounds and are used in research, healthcare, and academia, but Neural Science tends to be more specialized in neural processes.

Are neural scientists in high demand?

Neural scientists, also known as neuroscientists, are in growing demand due to advances in brain research, neurotechnology, and medical applications. Employment opportunities are available in academia, healthcare, and industry, often requiring strong research skills and advanced degrees such as a Ph.D. or neuroscience-related certifications.

Is neural science a high paying job?

Neural science careers, such as research scientists or neurobiologists, can offer competitive salaries, especially with advanced degrees and experience. Salaries vary based on industry, location, and role, with positions in academia typically paying less than those in biotech or pharmaceutical companies.

What kind of careers are in neural science?

Careers in neural science include roles such as neuroscientist, neurobiologist, neural engineer, and cognitive scientist. These positions often involve research, data analysis, and the use of tools like neuroimaging and electrophysiology, requiring strong backgrounds in biology, psychology, or engineering.
More about Neural Science jobs

What job categories do people searching Neural Science jobs look for?

The top searched job categories for Neural Science jobs are:

Neural Science jobs near you
Infographic showing various Neural Science job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 77% Full Time, 19% Part Time, and 2% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $104,609 per year, or $50.3 per hour.

Neural Graphics Engineer

Santa Clara, CA • On-site

NVIDIA Corporation
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about NVIDIA Corporationexternal

$163K - $201K/yr

Other

Re-posted 15 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 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

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

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