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Neural Jobs (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 - and we're just getting started. At NVIDIA, our Neural Graphics team builds technologies at the ...

NVIDIA

Neural Graphics Engineer

Santa Clara, CA · On-site

$164K - $203K/yr

They are seeking a Neural Graphics Engineer to implement and optimize neural graphics techniques, prototype new approaches, and contribute to their graphics software stack. Responsibilities : • ...

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 - and we're just getting started. At NVIDIA, our Neural Graphics team builds technologies at the ...

Nvidia

Director, Neural Graphics Chips

Santa Clara, CA · On-site

NVIDIA is seeking a Director of Neural Graphics Software and Chips to join our team in Santa Clara, CA. We are leading a fundamental shift in 3D graphics toward neural rendering, as evidenced by our ...

Waabi

Research Scientist, Neural Reconstruction

OR · On-site +1

$155K - $269K/yr

As a Research Scientist in Neural Reconstruction, you will develop the next generation of neural scene-representation and reconstruction algorithms that transform sparse, noisy, and partially ...

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Neural information

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$30K

$143.5K

$200.5K

How much do neural jobs pay per year?

As of Jun 12, 2026, the average yearly pay for neural in the United States is $143,519.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,500.00 and $178,500.00 per year, depending on experience, location, and employer.

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

To excel as a Neural Engineer, you need a strong background in neuroscience, biomedical engineering, or a related field, often supported by an advanced degree. Familiarity with neural imaging tools, signal processing software, and programming languages like MATLAB or Python is typically required. Strong analytical thinking, problem-solving skills, and effective collaboration are essential soft skills in this role. These competencies enable the development and application of neurotechnologies that advance brain research and medical treatments.

What biology jobs pay over $100k?

In the field of biology, roles such as biomedical directors, pharmacologists, and biotechnologists often have salaries exceeding $100,000 annually. These positions typically require advanced degrees, specialized skills, and experience in research, development, or management within healthcare, pharmaceuticals, or biotech industries.

How does a Neural Engineer typically collaborate with multidisciplinary teams in research and development projects?

Neural Engineers often work closely with professionals from various backgrounds, including neuroscientists, software developers, clinicians, and data scientists. Collaboration usually involves joint problem-solving, sharing experimental data, and integrating hardware and software solutions for brain-computer interfaces or neural prosthetics. Effective communication and adaptability are crucial, as project requirements can evolve rapidly based on research findings or clinical feedback. This multidisciplinary environment provides valuable learning opportunities and fosters innovation in developing neural technologies.

What are neural jobs?

Neural jobs typically refer to roles that involve working with neural networks, a core technology in artificial intelligence and machine learning. These positions may include designing, developing, and optimizing neural network architectures for tasks such as image recognition, natural language processing, or predictive analytics. Professionals in these roles often have backgrounds in computer science, data science, or electrical engineering, and use programming languages like Python along with frameworks such as TensorFlow or PyTorch. Neural jobs are in high demand across industries like healthcare, finance, and technology, as organizations seek to leverage AI for innovative solutions.

What jobs can you do with neural engineering?

Neural engineering offers careers such as neural engineer, biomedical engineer, neurotechnology researcher, and neural interface developer. These roles involve designing brain-computer interfaces, developing neural prosthetics, and conducting research in neuroscience and medical device development, often requiring knowledge of signal processing, neuroscience, and engineering tools.

What neuro jobs are there?

Neuro jobs include roles such as neuroscientist, neuropsychologist, neuroengineer, and clinical neurophysiologist. These positions often require specialized education in neuroscience, psychology, or biomedical engineering, and may involve research, clinical practice, or developing neurotechnology tools. Skills in data analysis, programming, and understanding neural systems are commonly needed.

What is the highest paid job in neuroscience?

The highest paid jobs in neuroscience are often senior research directors, neuroscience department heads, or industry roles such as pharmaceutical or biotech executives, with salaries exceeding $150,000 annually. These positions typically require advanced degrees, extensive experience, and leadership skills, often involving management of research teams or strategic decision-making in the field.

What is the difference between Neural vs Data Scientist?

AspectNeuralData Scientist
Required CredentialsTypically a degree in computer science, AI, or related fields; knowledge of neural networksDegree in statistics, computer science, or related fields; strong programming skills
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics, data analysis teams, consulting firms
Industry UsagePrimarily in AI, machine learning, deep learning projectsAcross industries for data analysis, insights, and decision-making
Common Search/ComparisonNeural vs Data Scientist

Neural roles focus on developing and implementing neural network models, often requiring specialized knowledge in AI and deep learning. Data Scientists analyze data to extract insights, using various statistical and machine learning techniques. While both roles involve data and programming, Neural positions are more specialized in AI model development, whereas Data Scientists have a broader scope in data analysis across industries.

More about Neural jobs
What cities are hiring for Neural jobs? Cities with the most Neural job openings:
What states have the most Neural jobs? States with the most job openings for Neural jobs include:
What job categories do people searching Neural jobs look for? The top searched job categories for Neural jobs are:
Neural jobs near you
Infographic showing various Neural job openings in the United States as of June 2026, with employment types broken down into 77% Full Time, 22% Part Time, and 1% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $143,519 per year, or $69 per hour.
Neural Graphics Engineer

Neural Graphics Engineer

Nvidia Corporation

Santa Clara, CA • On-site

$164K - $203K/yr

Full-time

Posted 20 days ago

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.
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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