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Computer Science Professor Jobs in Santa Clara, CA

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Computer Science * Data Science & Analytics * Applied AI & Machine Learning * Enterprise ... professor leading a relevant program at a top university. Will be verified during application ...

Voltai, Inc

Computational Scientist

Palo Alto, CA · On-site

We are a team of previous Stanford professors, SAIL researchers, Olympiad medalists (IPhO, IOI, etc ... Solid understanding of AI for Science methodology: how to design datasets from simulations, handle ...

Voltai

Computational Scientist

Palo Alto, CA · On-site

We are a team of previous Stanford professors, SAIL researchers, Olympiad medalists (IPhO, IOI, etc ... Solid understanding of AI for Science methodology: how to design datasets from simulations, handle ...

COGSWELL COLLEGE LLC

Adjunct Faculty CSE

San Jose, CA · On-site

$3.0K - $4.5K/mo

... computer science including theory, practical skills, methods, and techniques to students. Professor will teach AWS courses in areas such as Foundations of Computing for the Cloud, Cloud System ...

Matroid

Deep Learning Engineer

Palo Alto, CA

$170K - $300K/yr

Founded in 2016 by a Stanford professor, Matroid has a broad and rapidly growing set of customers ... Masters in Computer Science, Software Engineering, Mathematics, or equivalent * Passion for ...

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

Founded in 2016 by a Stanford professor, Matroid has a broad and rapidly growing set of customers ... Masters in Computer Science, Software Engineering, Mathematics, or equivalent * Passion for ...

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

Founded in 2016 by a Stanford professor, Matroid has a broad and rapidly growing set of customers ... Masters in Computer Science, Software Engineering, Mathematics, or equivalent * Passion for ...

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All JobsComputer Science Professor JobsComputer Science Professor Jobs in Santa Clara, CA

Computer Science Professor information

See Santa Clara, CA salary details

$12.9K

$148.7K

$200.8K

How much do computer science professor jobs pay per year?

As of Aug 29, 2026, the average yearly pay for computer science professor in Santa Clara, CA is $148,697.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $179,700.00 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.

More about Computer Science Professor jobs

What are the most commonly searched types of Computer Science Professor jobs in Santa Clara, CA?

The most popular types of Computer Science Professor jobs in Santa Clara, CA are:

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For Computer Science Professor jobs in Santa Clara, CA, the most frequently searched job titles are:

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The top searched job categories for Computer Science Professor jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Computer Science Professor jobs?

Cities near Santa Clara, CA with the most Computer Science Professor job openings:

Computer Science Professor jobs near you
Infographic showing various Computer Science Professor job openings in Santa Clara, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $148,697 per year, or $71.5 per hour.

Applied Data Science Intern

Evolver

Palo Alto, CA • On-site

Full-time, Internship

Re-posted 10 days ago

Job description

Applied Data Science Summer Internship 

About Us:

Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In just 1.5 years, the company has grown from 0 to nearly 100 employees, bringing together an exceptional team of technologists, researchers, and industry experts. Founders includes former executives from some of the world's top organizations, including the former Global CTO and Global Board Member of Ernst and Young and the former VP of AI from Microsoft, alongside senior leaders from other major global enterprises. The team includes multiple PhDs and a strong concentration of employees with advanced degrees from leading universities. This in-person internship offers a small cohort of students the opportunity to work directly alongside experienced operators and AI experts while gaining hands-on exposure to using the latest innovations in data science applications at a frontier startup environment.

Program Details:

Evolver is launching a small, highly selective summer internship cohort for students and emerging talent to gain hands-on experience applying data science techniques to enterprise datasets while learning to leverage and deploy AI systems for real-world Fortune 500 business use cases.

This is an intensive 10-week, full-time small cohort program designed to provide direct mentorship from experienced professionals in computer science, data science, artificial intelligence, and enterprise software deployment.

  • Duration: 10 weeks (full-time), June through Early August.
  • Competitive Compensation: Tailored to your experience and skill set.
  • Format: Hybrid (4+ days in person) - Based in Palo Alto, CA off University Ave
  • Cohort Size: Small and mentorship-focused
  • Learning Goals: Develop and apply AI-driven data science solutions on real-world datasets and workflows supporting Fortune 500 enterprise use cases.

Role Details:

Interns will contribute to real data innovation projects involving:

  • Data analysis and machine learning pipelines
  • AI agents, retrieval systems, and evaluation frameworks
  • Enterprise AI integration and deployment tooling
  • Product prototyping and applied research
  • Automation systems for large-scale organizational use
  • Real world enterprise use cases of graph theory
  • Gain direct exposure to Fortune 500 clients
  • Access enterprise-scale AI and data science initiatives through hands-on collaboration with internal teams and customer engagements.

Projects are oriented toward practical AI solutions deployed in enterprise and Fortune 500 environments.

Mentorship & Learning

Interns will work closely with experienced staff and technical mentors with expertise in:

  • Computer Science
  • Data Science & Analytics
  • Applied AI & Machine Learning
  • Enterprise Infrastructure
  • Scalable AI Deployment
  • Risk and Compliance Frameworks
  • Tax and Audit

The program is structured as a high-engagement cohort-based apprenticeship experience emphasizing:

  • Daily in person technical collaboration
  • Rapid learning and iteration
  • Exposure to real deployment challenges
  • Cross-disciplinary problem solving
  • Professional development in AI engineering and enterprise systems

Who Should Apply:

We welcome applications from:

  • Graduate students with a record of excellence
  • Exceptional advanced undergraduates

All candidates are required to be recommended by an accredited professor leading a relevant program at a top university. Will be verified during application process.

Strong candidates typically demonstrate:

  • Programming experience
  • Curiosity about AI systems and emerging technologies
  • Initiative, creativity, and strong problem-solving ability
  • Prior technical, research, or project experience

You do not need deep expertise in every area, we value intellectual curiosity, adaptability, and motivation to build.

Apply