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Neural Science Jobs (NOW HIRING)

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 ...

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 ...

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 ...

Neural Graphics Engineer

Santa Clara, CA

$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 ...

Scientist I - Neural Coding

Seattle, WA · On-site

$86K - $106K/yr

Scientist I - Neural Coding The Allen Institute accelerates science for a healthier world through ... The goal of the Brain Science accelerator is to produce three interlocking resources: cell type ...

Showing results 21-40

Neural Science information

See salary details

$24K

$104.6K

$194.5K

How much do neural science jobs pay per year?

As of Aug 20, 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
Infographic showing various Neural Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 74% Physical, 4% Hybrid, and 22% Remote job distribution, with an average salary of $104,609 per year, or $50.3 per hour.

Neural Network Development Lead

Targeted Talent

Austin, TX • Hybrid

Full-time

Medical, PTO

Re-posted 19 days ago


Job description

Full-Time / Hybrid

Our client is a fast-growing startup focused on creating next-generation hardware AI accelerators. They are enhancing their software to ensure seamless deployment of neural networks on their innovative hardware. This role involves optimizing neural networks to leverage their architecture efficiently.

We're searching for a talented Neural Network Development Lead with a passion for developing cutting-edge neural networks. This role involves hands-on development, working with a cross-functional team, and bridging customer needs with our software and hardware capabilities. You'll enhance our Model Garden and develop custom neural networks that offer advanced functionality and performance.

Responsibilities:

  • Lead teams to deliver and implement neural network models.
  • Develop complex programs for neural net operations.
  • Optimize neural network performance and communicate strategies to the team.
  • Collaborate with future product generation architects.

Requirements:

  • Degree in Computer Science, Engineering, or related field.
  • 5+ years of AI experience.
  • Strong C++ skills and experience in high-performance code optimization.
  • Knowledge of neural network algorithms.
  • Creative problem-solving skills.

Preferred Skills:

  • Advanced degree in a related field.
  • Project Management certification.
  • Python experience and familiarity with AI accelerator programming.
  • Strong mathematical and communication skills.

Why Consider Applying?

  • Inclusive and diverse team environment.
  • Support for accommodations during the interview process and in the workplace.
  • Benefits include 20 vacation days, comprehensive health benefits, unlimited sick days, stock options, and the chance to impact the future of AI.

Join our client's mission to revolutionize AI with their efficient, high-performance technology. If you're passionate about AI and eager to tackle challenging problems, we encourage you to apply, even if you don't meet every requirement.


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About Targeted Talent

Sourced by ZipRecruiter

Your single source for HR professional services, we offer job seekers specialized employment services, spanning contract, permanent positions, and project solutions for highly specialized and managerial level talent needs. Our team of specialized recruiters and consultants abilities extend far beyond resume or career counseling. With hundreds of collaborators strategically located throughout the country, our organization possess the local market knowledge and industry relationships that make successful geography-specific reach possible.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Vancouver, BC, CA