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Computer Science Professor Jobs in San Jose, CA (NOW HIRING)

Assistant Professor

Palo Alto, CA · On-site

$139 - $168/hr

... Professor in any area of Statistics or Probability, broadly understood. Applicants should exhibit ... D in statistics, data science, computer science, mathematics, or a related discipline at the time ...

Assistant Professor

Palo Alto, CA · On-site

$139 - $168/hr

... Professor in any area of Statistics or Probability, broadly understood. Applicants should exhibit ... D in statistics, data science, computer science, mathematics, or a related discipline at the time ...

... Professor in any area of Statistics or Probability, broadly understood. Applicants should exhibit ... D in statistics, data science, computer science, mathematics, or a related discipline at the time ...

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Computer Science Professor information

See San Jose, CA salary details

$12.9K

$148.4K

$200.4K

How much do computer science professor jobs pay per year?

As of Sep 1, 2026, the average yearly pay for computer science professor in San Jose, CA is $148,388.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,800.00 and $179,300.00 per year, depending on experience, location, and employer.

What does a computer science professor do?

A computer science professor teaches at a technical college or university. You create and teach courses in computer science (CS) or related programming or technology subjects. In this career, you prepare the syllabus for each class, deliver lectures and instructions, and use exams and quizzes to assess the performance of students. In many computer science classes, your responsibilities include allowing students to practice the subject matter in a computer lab. You facilitate this practice and offer guidance during lab sessions. In addition to your teaching duties, you sometimes give academic or career advice to students in CS degree programs.

What does a computer science professor do?

A Computer Science Professor teaches courses in computer science at the college or university level, covering topics such as programming, algorithms, data structures, artificial intelligence, and more. In addition to teaching, they often conduct research in specialized areas, publish academic papers, and supervise student projects or theses. Computer Science Professors also advise students, develop curriculum, and may participate in departmental administration or service. Their work is crucial in advancing the field of computer science and preparing the next generation of technology professionals.

What are the key skills and qualifications needed to thrive as a computer science professor?

To thrive as a Computer Science Professor, you need an advanced degree in computer science or a related field, strong research background, and expertise in core topics like algorithms, programming, and systems. Familiarity with learning management systems (LMS), programming environments, and publication platforms is typically required, along with a record of scholarly publication and potentially relevant certifications. Excellent communication, mentorship, and curriculum development skills help foster student engagement and support academic growth. These skills and qualifications are vital for delivering high-quality instruction, advancing research, and contributing to the academic community.

What are some common challenges faced by computer science professors in balancing teaching, research, and administrative responsibilities?

Computer Science Professors often juggle multiple responsibilities, including delivering lectures, guiding student projects, conducting original research, publishing papers, and participating in departmental or university committees. Balancing these can be challenging, especially during peak periods like exam seasons or major research deadlines. Effective time management and prioritization are crucial, as is seeking support from colleagues and administrative staff. Many professors also find it helpful to establish a clear schedule and set boundaries to maintain productivity and job satisfaction.

What is the difference between Computer Science Professor vs Software Developer?

AspectComputer Science ProfessorSoftware Developer
Required CredentialsTypically a Ph.D. in Computer Science or related fieldBachelor's or Master's in Computer Science or related field; certifications optional
Work EnvironmentAcademic institutions, research labs, universitiesCorporate offices, tech companies, startups
Industry UsageResearch, teaching, academic publishingSoftware development, product creation, coding
Common Search/ComparisonYesYes

While both roles involve computer science knowledge, a Computer Science Professor primarily focuses on teaching, research, and academic publishing, often requiring a Ph.D. and working in educational institutions. In contrast, a Software Developer applies programming skills to create software products in corporate or startup environments, typically with a bachelor's or master's degree. The roles differ in work environment, responsibilities, and career paths but share foundational computer science expertise.

What cities near San Jose, CA are hiring for Computer Science Professor jobs?

Cities near San Jose, CA with the most Computer Science Professor job openings:

Infographic showing various Computer Science Professor job openings in San Jose, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $148,388 per year, or $71.3 per hour.

Assistant Professor or Associate Professor without Tenure, Management Science and Engineering

Palo Alto, CA • On-site

Stanford University Department of Computer Science

$144 - $197/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Stanford University Department of Management Science and Engineering Faculty Opening

The Department of Management Science and Engineering at Stanford University invites applications for a tenure track faculty position at the junior level (Assistant or untenured Associate Professor) from individuals working at the frontiers of MS&E. MS&E is a multidisciplinary department with research efforts spanning a broad intellectual spectrum, from analytics and computation to the social and behavioral sciences, united by an interest in engineering solutions to pressing societal problems. Please visit our website for more information about the MS&E Department at http://www.stanford.edu/dept/MSandE/.

Applicants must have completed, or be completing, a Ph.D. in the advertised field or a closely related one. Evidence of the ability to pursue a program of research, and a strong commitment to graduate and undergraduate teaching are also required. A successful candidate will be expected to teach courses at the graduate and undergraduate levels and to build and lead a team of graduate students in PhD research.

The Department of Management Science & Engineering, School of Engineering, and Stanford University value faculty who will help foster an open and respectful academic environment for colleagues, students, and staff with a wide range of backgrounds and perspectives. Candidates may choose to include as part of their research and teaching statements a brief discussion about how their work and experience will further these values.

Review of applications will begin on September 15, 2026; applications submitted by November 1, 2026 will receive full consideration. Interviews will begin in the fall term, so applicants areencouraged to apply early.

The expected base pay range for this position is:

Assistant Professor: $144,100- $163,766

Associate Professor (untenured): $158,510 - $196,803

This base pay range is for a nine-month academic appointment and does not include summer salary. For more information about compensation and our wide range of benefits, including housing assistance, please contact the hiring department.

Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position upon hire. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including years since terminal degree, training, and field or discipline; departmental budget availability; internal equity; and external market pay for comparable jobs.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University’s research, teaching and clinical missions.

Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact disability.access@stanford.edu.

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