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Vision Science Jobs in California (NOW HIRING)

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Vision Science information

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$24.2K

$47.8K

$78K

How much do vision science jobs pay per year?

As of Aug 10, 2026, the average yearly pay for vision science in California is $47,757.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $51,300.00 per year, depending on experience, location, and employer.

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

To thrive as a Vision Scientist, you need a strong background in biology, optics, neuroscience, and experimental design, typically supported by a PhD or advanced degree in vision science or a related field. Familiarity with laboratory equipment, statistical analysis software (such as MATLAB or Python), and imaging systems is essential. Strong analytical thinking, attention to detail, and effective communication skills enable successful research and collaboration. These competencies are crucial for advancing knowledge in visual perception and developing applications in healthcare and technology.

What is the difference between Vision Science vs Optometrist?

AspectVision ScienceOptometrist
Required CredentialsTypically requires a master's or PhD in vision science or related fieldRequires Doctor of Optometry (OD) degree and licensure
Work EnvironmentResearch labs, universities, industry settingsPrivate practices, clinics, healthcare facilities
Industry UsageResearch, product development, academiaPatient eye care, vision testing, prescribing corrective lenses

Vision Science and Optometrists both focus on eye health and vision, but differ in their roles. Vision Science primarily involves research and development in vision-related fields, requiring advanced degrees and working in academic or industry settings. Optometrists, on the other hand, are healthcare professionals providing direct patient care, requiring a Doctor of Optometry degree and licensure. Understanding these differences helps clarify career paths and job expectations in the eye care industry.

What is vision science?

Vision science is an interdisciplinary field that studies how visual systems process information. It encompasses research on the anatomy, physiology, and functioning of the eyes and brain, as well as optical, computational, and psychological aspects of vision. Vision scientists work to understand how we perceive visual information, how visual disorders arise, and how technology can enhance or restore vision. Careers in vision science may involve research, clinical practice, or developing new diagnostic and corrective tools.

What can you do with a vision science degree?

A vision science degree prepares individuals for careers in research, clinical practice, or industry related to visual health, perception, and optics. Graduates can work as optometrists, vision scientists, research analysts, or in roles involving eye care technology and visual performance assessment, often requiring knowledge of optics, neuroscience, and laboratory skills.

What does a vision science do?

A vision scientist studies how the visual system processes and interprets visual information, often conducting research in areas like optics, perception, and eye health. They may work in laboratories, healthcare settings, or academia, using tools such as microscopes and imaging devices to understand visual function and develop treatments or technologies related to vision. Strong analytical skills and knowledge of biology, physics, and psychology are essential in this field.

What can I do with a master's in vision science?

A master's in vision science prepares individuals for roles such as vision researcher, optometric technician, or vision scientist in clinical, research, or industry settings. Graduates often work in eye care clinics, research laboratories, or with companies developing visual technologies, utilizing skills in optics, data analysis, and experimental design.

What are some typical collaborative projects a vision science professional might work on with other departments?

Vision Science professionals frequently collaborate with teams in ophthalmology, neurology, psychology, and engineering, depending on the setting. For example, they may work closely with ophthalmologists to develop and test new diagnostic tools, partner with engineers to refine visual aids or imaging technologies, or collaborate with psychologists to study visual perception and cognition. These interdisciplinary projects help broaden the impact of their research and often lead to innovative solutions in visual health and technology.
What are popular job titles related to Vision Science jobs in California? For Vision Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Vision Science jobs in California look for? The top searched job categories for Vision Science jobs in California are:
What cities in California are hiring for Vision Science jobs? Cities in California with the most Vision Science job openings:
Vision Science jobs near you
Infographic showing various Vision Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $47,757 per year, or $23 per hour.

Senior Research Scientist, Human‑AI Perception and Interaction

Nvidia Corporation

Santa Clara, CA • On-site

$115K - $147K/yr

Full-time

Re-posted 2 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

We are now looking for a Senior Research Scientist for Human-AI Perception & Interaction! 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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We, the Human Performance and Experience (HPX) team at NVIDIA Research, strive to lead AI innovation by deeply understanding humans. We are looking for individuals who are passionate about advancing AI in gaming, robotics, and more by employing human intelligence and human interaction to shape perception, learning, and behavior. We bridge vision science, HCI, and HRI to create systems that perceive, learn, and collaborate with people safely and effectively. You will be working in a team of research scientists and engineers from varied backgrounds and will closely collaborate with product engineers. Join us in redefining the future of AI and human interaction!
What you'll be doing:
  • Propose, research, prototype and test innovative research ideas.
  • Publish at top conferences and patent novel inventions.
  • Collaborate with other research team members, external researchers, and mentor interns.
  • Create working interactive demonstrations to showcase your research ideas.
  • Participate in technology transfer with engineers around NVIDIA as ideas "graduate" from research to product.

What we need to see:
  • Ph.D. or equivalent research experience in Computer Science/Electrical Engineering/Cognitive Science or related field.
  • 3+ years of relevant work experience
  • Excellent track record of publications in top-tier conferences (SIGGRAPH, CHI, HRI, ICRA, NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV, CoG, ETRA, etc.).
  • Experience with studying human behaviors in related application domains such as gaming, driving, interacting with robots, etc.
  • Proficiency with Python, Rust, and/or C++.
  • Experience with AI model training and evaluation frameworks, like PyTorch.

Ways to stand out from the crowd:
  • Demonstrated public portfolio (e.g. repositories, OSS contributions, notebooks, packages, or technical blog posts with code).
  • Experience with multi-node, multi-GPU training and inference workflows.
  • Familiarity with and interest in modern deep learning models, including working with large-scale, multi-modal foundation models (such as recent LLMs, VLMs).
  • A track record of applying human behavior models to machine learning applications, or applying machine learning to understand or model human behavior.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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

Year founded

1993

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