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Phd Vision Science Jobs (NOW HIRING)

Qualcomm

Computer Vision Architect

San Diego, CA · On-site

The Computer Vision Architect will lead the design and implementation of computer vision features ... Preferred : • Master's or PhD in Computer Science, Electrical Engineering, or a related ...

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$111.9K

$144K

How much do phd vision science jobs pay per year?

As of Jul 21, 2026, the average yearly pay for phd vision science in the United States is $111,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $125,000.00 per year, depending on experience, location, and employer.

What are some typical research collaborations for someone in a PhD Vision Science role?

PhD Vision Science professionals often work closely with interdisciplinary teams that include optometrists, ophthalmologists, neuroscientists, and engineers. Collaborations frequently involve designing and conducting experiments, sharing data, and co-authoring publications to advance understanding of visual processes and eye diseases. These partnerships can extend to industry settings—such as developing vision correction technologies or diagnostic tools—offering diverse opportunities to broaden your research impact and professional network.

What is a PhD in Vision Science?

A PhD in Vision Science is an advanced research degree focused on the study of visual systems, including how vision works and how visual disorders are diagnosed and treated. Students in these programs explore topics such as ocular anatomy, visual perception, neuroscience, and eye diseases. Graduates often pursue careers in academia, clinical research, optometry, or the development of new vision technologies. The program typically involves both coursework and original research leading to a dissertation.

What are the key skills and qualifications needed to thrive as a PhD in Vision Science, and why are they important?

To thrive as a PhD in Vision Science, you need advanced knowledge of ocular anatomy, physiology, optics, research methodology, and often experience in clinical or laboratory settings. Proficiency with data analysis tools (such as MATLAB or Python), imaging systems, and scientific publishing platforms is typically required. Strong critical thinking, problem-solving, and effective communication skills distinguish successful professionals in this field. These skills are essential for conducting high-quality research, driving innovation, and effectively sharing findings with both scientific and clinical communities.

What can I do with a Vision Science degree?

A PhD in Vision Science prepares individuals for research, academic, and clinical roles related to visual perception, eye health, and optics. Graduates often work as vision scientists, researchers, clinicians, or in industries developing visual technologies, requiring skills in data analysis, experimental design, and often advanced instrumentation. Opportunities may also include teaching, consulting, or roles in vision-related product development.

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, optometrist assistant, or vision technician, often involving clinical or research environments. It provides foundational knowledge in visual systems, optics, and eye health, which can lead to further specialization or entry-level positions in eye care, vision therapy, or product development. Additional certifications or a doctoral degree may be required for advanced clinical or research roles.

What is the difference between Phd Vision Science vs Optometrist?

AspectPhd Vision ScienceOptometrist
Required CredentialsPhD in Vision Science or related fieldDoctor of Optometry (OD) license
Work EnvironmentResearch labs, academia, industryClinical settings, private practices, clinics
Industry UsageResearch, product development, academiaPatient eye care, vision testing, prescriptions

While both roles focus on vision, a Phd Vision Science primarily involves research and development in vision-related fields, whereas an Optometrist provides clinical eye care and prescriptions. The PhD is research-oriented, often in labs or academia, while optometrists work directly with patients in clinical settings.

What jobs can I get with a PhD in science?

A PhD in vision science qualifies individuals for research scientist, university professor, or clinical researcher roles focused on visual perception, eye health, and related fields. Graduates often work in academic institutions, healthcare settings, or industry research labs, utilizing skills in data analysis, experimental design, and scientific communication.
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What cities are hiring for Phd Vision Science jobs? Cities with the most Phd Vision Science job openings:
What states have the most Phd Vision Science jobs? States with the most job openings for Phd Vision Science jobs include:
What job categories do people searching Phd Vision Science jobs look for? The top searched job categories for Phd Vision Science jobs are:
Phd Vision Science jobs near you
Infographic showing various Phd Vision Science job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $111,876 per year, or $53.8 per hour.
Research Scientist, HumanAI Perception and Interaction Research - PhD New College Grad 2026

Research Scientist, HumanAI Perception and Interaction Research - PhD New College Grad 2026

Nvidia

Santa Clara, CA

Full-time

Re-posted 17 hours ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

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.

  • 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 168,000 USD - 264,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 25, 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

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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