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Phd Vision Science Jobs (NOW HIRING)

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 ...

Master's or PhD in Computer Science, Electrical Engineering, or a related discipline. Minimum Skills * 3-5 years of hands-on experience developing computer vision applications or libraries. * Strong ...

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Phd Vision Science information

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$80.5K

$111.9K

$144K

How much do phd vision science jobs pay per year?

As of Aug 10, 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 can I do with a Phd vision science degree?

A PhD in vision science prepares individuals for research, academia, and advanced roles in vision-related industries such as ophthalmology, optometry, and biomedical device development. Graduates often work as university professors, research scientists, or in industry roles involving vision technology, requiring skills in data analysis, experimental design, and scientific communication.

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

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 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.

More about Phd Vision Science jobs
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:
Infographic showing various Phd Vision Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $111,876 per year, or $53.8 per hour.

Computer Vision Architect

Qualcomm

San Diego, CA • On-site

Full-time

Re-posted 4 days ago


Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

51st of 242 rated software companies


Job description

Job Summary:
Qualcomm Technologies, Inc. is at the forefront of building advanced computer vision systems for Snapdragon-powered devices. The Computer Vision Architect will lead the design and implementation of computer vision features, support engineering teams in deploying CV APIs, and collaborate with cross-functional teams to deliver innovative solutions.
Responsibilities:
• Lead the design and implementation of computer vision features and on-device prototyping using the Snapdragon Vision API solution.
• Support engineering teams in building, integrating, and deploying CV APIs for commercial products.
• Develop clear and thorough technical documentation, diagrams, and sample materials that showcase the capabilities of the Snapdragon Vision API for end‑application developers.
• Ensure deliverables meet schedule expectations and KPI targets, proactively identifying and addressing risks.
• Collaborate closely with system, software, hardware, and product teams throughout CV feature prototyping and commercialization.
• Contribute effectively in a fast‑paced, highly collaborative environment with distributed cross‑functional teams.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
• 3–5 years of hands-on experience developing computer vision applications or libraries.
• Strong understanding of CV concepts, algorithms, and deep‑learning‑based vision pipelines, with a track record of delivering commercial CV solutions.
• Proficiency in designing and implementing products using vision APIs, following established standards and best practices.
• Strong coding and debugging skills in C/C++ and Python, with the ability to rapidly prototype and evaluate CV features on device.
• Bachelor's degree in Computer or Electrical Engineering, Computer Science, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
• OR Master’s degree in Computer or Electrical Engineering, Computer Science, or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
• OR PhD in Computer or Electrical Engineering, Computer Science, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
Preferred:
• Master’s or PhD in Computer Science, Electrical Engineering, or a related discipline.
• Experience with CV and ML libraries such as OpenCV, TensorFlow, and PyTorch (TorchVision), including image processing and deep learning workflows.
• Working knowledge of embedded systems and architectures, especially hardware CV accelerators.
• Experience producing high‑quality API documentation and technical materials.
• Familiarity with commercial software development practices and SDLC methodologies.
Company:
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Qualcomm employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985