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Eye Tracking Phd Jobs (NOW HIRING)

Senior Software Engineer, Eye Tracking

San Jose, CA · On-site

$143K - $189K/yr

Master's degree or PhD in Computer Science or a related technical field. * 5 years of experience ... Research and develop the eye models for eye tracking. * Work with data teams to gather and analyze ...

... gestures, eye tracking, 3D reconstruction, visualization, and tooling. In addition, there are ... PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical ...

... gestures, eye tracking, 3D reconstruction, visualization, and tooling. In addition, there are ... PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical ...

... gestures, eye tracking, 3D reconstruction, visualization, and tooling. In addition, there are ... PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical ...

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Eye Tracking Phd information

What is the best eye tracker for research?

For research purposes, the Tobii Pro series is widely regarded as one of the best eye trackers due to its high accuracy, reliability, and advanced data analysis capabilities. Other reputable options include EyeLink and SMI eye trackers, which are commonly used in academic and professional research environments. Selecting the right device depends on specific research needs, budget, and required data precision.

How is eye tracking used in research?

In research, eye tracking is used to analyze visual attention, cognitive processes, and decision-making by recording eye movements and fixations. Eye tracking data helps researchers understand how people interact with visual stimuli, such as advertisements, websites, or experimental tasks, often using specialized equipment and software for data collection and analysis.

What are the key skills and qualifications needed to thrive as an Eye Tracking PhD, and why are they important?

To thrive as an Eye Tracking PhD, you typically need a strong background in psychology, neuroscience, or computer science, along with advanced research skills and a doctoral degree. Familiarity with eye tracking hardware, data analysis software (such as MATLAB or Python), and statistical methods is essential. Critical thinking, attention to detail, and effective communication are vital soft skills for designing experiments and presenting findings. These competencies ensure the accuracy, impact, and clarity of eye tracking research in both academic and applied settings.

What are the typical collaborations and interdisciplinary teams involved in an Eye Tracking PhD role?

As an Eye Tracking PhD, you will frequently collaborate with professionals from diverse backgrounds such as neuroscience, psychology, computer science, and engineering. These interdisciplinary teams work together to design experiments, develop analytical tools, and interpret complex data. Close collaboration with software developers and hardware engineers is common, especially when customizing eye tracking equipment or creating new algorithms. Regular meetings, joint research projects, and co-authored publications are typical, providing valuable opportunities to broaden your expertise and professional network.

What is an Eye Tracking PhD?

An Eye Tracking PhD is a doctoral program or research focus that involves the scientific study of eye movement and gaze patterns, typically using specialized technology to track where and how people look at visual stimuli. Researchers in this field may investigate topics in psychology, neuroscience, human-computer interaction, marketing, or cognitive science, using eye tracking data to better understand attention, perception, and behavior. Graduates often work in academia, industry research, or technology development, applying their expertise to areas such as usability testing, medical diagnostics, or virtual reality.

What is the difference between Eye Tracking Phd vs Eye Tracking Engineer?

AspectEye Tracking PhdEye Tracking Engineer
Required CredentialsPhD in Psychology, Neuroscience, or related fieldBachelor's or Master's in Engineering, Computer Science, or related field
Work EnvironmentResearch labs, academia, or R&D departmentsTechnology companies, product development, or research teams
Industry UsageAcademic research, specialized studies, and advanced R&DProduct design, usability testing, and applied research

While both roles involve eye tracking technology, an Eye Tracking Phd typically focuses on research, theory, and advanced analysis, often within academic or R&D settings. An Eye Tracking Engineer applies technical skills to develop, implement, and optimize eye tracking systems in commercial or industrial applications. The roles complement each other but differ mainly in their focus on research versus engineering and product development.

What jobs research the brain?

Jobs that research the brain include neuroscientist, neuropsychologist, cognitive scientist, and brain imaging specialist. These roles often involve using tools like MRI, EEG, and other neuroimaging techniques to study brain structure and function, typically requiring advanced degrees such as a PhD in neuroscience or related fields.

What jobs are visual thinkers good at?

Visual thinkers, including those with expertise in eye tracking research, are well-suited for roles such as user experience designers, cognitive scientists, data analysts, and visual communication specialists. These jobs benefit from strong spatial reasoning, pattern recognition, and the ability to interpret visual data, often requiring skills in design tools, data visualization, and research methodologies.
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Infographic showing various Eye Tracking Phd job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 98% Physical, and 2% Remote job distribution.
Senior Software Engineer, Eye Tracking

Senior Software Engineer, Eye Tracking

Google

San Jose, CA • On-site

$143K - $189K/yr

Full-time

Re-posted 2 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

40th of 209 rated software companies


Job description

Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages (C )
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with large scale application design and architecture.
  • 3 years of experience with Android application development.
  • Experience with computer vision, imaging, or augmented reality platforms.

Preferred qualifications:
  • Master's degree or PhD in Computer Science or a related technical field.
  • 5 years of experience with data structures and algorithms.
  • 3 years of experience writing Computer Vision software.
  • Experience with Machine learning and Data science.
  • Experience with camera sensor pipelines and imaging science.
  • Familiarity with Human vision and eye movements research.

About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, you will develop sensing algorithms to understand the real-world scene within an AR/VR context, optimized for compute-constrained devices. We are looking for a software engineer who can work in the intersection of computer science, computer vision and human vision. You will be expected to design and implement exceptional computational eye models that deliver system performance targets, by leveraging scientific knowledge from human vision literature and data statistics. You will work across different engineering teams, including ML/perception, synthetics, human vision, etc.
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $253000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Research and develop the eye models for eye tracking.
  • Work with data teams to gather and analyze high-quality eye data.
  • Optimize models and algorithms to run on low-power devices in real time. Propose metrics and incorporate user feedback into the algorithm and model design.
  • Be able to work alongside other software engineers and vision scientists to deliver production-ready models and pipelines. Communicate, design, and implement decisions effectively through architecture/design documents and code.
  • Review code developed by other developers and provide feedback to ensure best practices. Contribute to the overall efficiency and productivity of the engineering team through code, process enhancements, and software development workflow improvements.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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