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Neural Engineering Jobs (NOW HIRING)

Nvidia

Director, Neural Graphics Chips

Santa Clara, CA · On-site

Lead a multidisciplinary team of managers and principal engineers spanning GPU architecture liaison ... Own NVIDIA's neural graphics roadmap with console partners, including feature prioritization ...

Nvidia

Neural reconstruction and Gaussian Splatting are changing how 3D worlds are collected, represented ... Engineering, Applied Math, Robotics, Computer Vision, Machine Learning, or a related field (or ...

Nvidia

OR · On-site

Neural reconstruction and Gaussian Splatting are changing how 3D worlds are collected, represented ... Engineering, Applied Math, Robotics, Computer Vision, Machine Learning, or a related field (or ...

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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How much do neural engineering jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for neural engineering in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

How much are neural engineers paid?

Neural engineers typically earn a median annual salary of around $80,000 to $120,000, depending on experience, education, and location. Entry-level positions may start lower, while experienced professionals with advanced skills in neurotechnology and programming can earn higher salaries, especially in research or industry settings.

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 engineers make $500,000?

Senior neural engineers, especially those with extensive experience, advanced degrees, and expertise in machine learning, neurotechnology, or biomedical applications, can earn salaries approaching or exceeding $500,000 annually. These roles often require specialized skills, leadership responsibilities, and work in high-demand industries such as healthcare, research, or tech companies. Compensation varies based on location, company size, and individual credentials.

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 can you do with a neural engineering degree?

A neural engineering degree prepares individuals for careers in developing brain-computer interfaces, neuroprosthetics, and neural signal processing. Graduates often work in research, healthcare, or technology companies, utilizing skills in neuroscience, engineering, and programming to innovate medical devices and neural systems.

What is the salary of a neuroengineer?

The salary of a neuroengineer typically ranges from $70,000 to $130,000 annually, depending on experience, education, location, and the specific employer. Entry-level positions may start lower, while experienced professionals with advanced skills in neural interfaces and computational modeling can earn higher salaries.

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.
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Director, Neural Graphics Chips

Director, Neural Graphics Chips

Nvidia

Santa Clara, CA • On-site

Full-time

Posted 14 days ago

Job description

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 recent work on AlpaDreams. In this role you will guide the hardware, platform and API that bring these techniques to production. This is a rare opportunity to lead at the intersection of graphics software, GPU architecture, and platform strategy, with direct influence on the next generation of NVIDIA hardware and the developer experience that runs on it!

What You'll Be Doing

  • Set the strategic direction for neural graphics across silicon, console platforms, and graphics APIs - translating research breakthroughs into hardware features, shipping platform capabilities, and API/shader language evolution.

  • Lead a multidisciplinary team of managers and principal engineers spanning GPU architecture liaison, console platform engineering, and graphics API/compiler strategy.

  • Partner with GPU Architecture on feature definition, HW/SW co-design, and chip bring-up for neural graphics capabilities.

  • Own NVIDIA's neural graphics roadmap with console partners, including feature prioritization, validation, and launch readiness on current and next-gen platforms.

  • Shape graphics API direction and NVIDIA's shader language strategy (including Slang) to expose neural graphics primitives to developers.

  • Build, mentor, and strengthen the team - hiring senior engineers and managers, and developing technical leaders.

What We Need to See

  • Bachelor's degree or higher in Computer Science, Computer Engineering, Electrical Engineering, Computer Graphics (or equivalent experience).

  • 15+ overall years in graphics, GPU, or related platform engineering.

  • 6+ years leading engineering teams, including senior individual contributors and managers.

  • Hands-on experience with the latest in agentic development workflows.

  • Deep expertise in GPU architecture, graphics pipelines, and hardware/software co-design.

  • Expertise in at least two of: graphics drivers, shader compilation, graphics APIs (Vulkan, Direct3D, Metal), or shading languages.

  • Experience driving technical direction across large organizations, including architecture, research, platform, and product.

Ways to Stand Out from the Crowd

  • Deep background in Vulkan or OpenGL driver internals, including SPIR-V or shader translation, tiled rasterization, or compute-based pipeline implementation.

  • Experience shipping in embedded or console environments

  • Track record of applying AI-assisted or agent-based engineering to accelerate delivery of large software systems.

  • Strong background in neural rendering, differentiable graphics, or AI-assisted rendering techniques.

  • Examples of influencing graphics API or shading/compiler stack direction

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. This role presents an opportunity to have a wide impact at NVIDIA by improving the factory planning function. Are you creative, hard-working, dedicated, and determined? Do you love a challenge? If so, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 320,000 USD - 488,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 4, 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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