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Fall Computer Science Internships Jobs in Berkeley, CA

Pano

Computer Vision Engineer

San Francisco, CA · On-site +1

$141K - $184K/yr

What you'll bring Required * BS or MS in Computer Science, Electrical Engineering, Robotics, or a related field. * 1-3 years of experience (including internships or research) in software engineering ...

Estes Energy

2026 Fall Engineering Intern

San Francisco, CA · On-site

$19.75 - $25.50/hr

Fall 2026 (Sept-Dec, dates flexible) · Type: Full-time or part-time internship About Estes Energy ... Science, Metallurgy or a related engineering field (or equivalent hands-on experience) * Curious ...

Gitar, Inc.

Software Engineer Intern

San Mateo, CA · On-site

The Role: We're seeking current undergraduate students in Computer Science and related fields for Summer '25 internships (out of season internships possible!). We are particularly interested in ...

SETUP & SUPPORT LLC.

IT Support Intern

Oakland, CA

$17.25 - $23/hr

This internship is for the Summer & Fall of 2015. The ideal candidate is highly motivated, striving ... Computer Science program Preference will be given to students with a minimum GPA of 3.0 based on a ...

Rundoo

Software Engineer

Redwood City, CA · On-site

$186K/yr

Studied computer science and math at Stanford; worked a couple internships at Meta + some startups in Denver; jaywalking ticket recipient * Santi: Studied CE and played varsity soccer at Waterloo ...

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Fall Computer Science Internships information

What are the key skills and qualifications needed to thrive in Fall Computer Science internships, and why are they important?

To thrive in Fall Computer Science Internships, you typically need a solid understanding of programming fundamentals, data structures, algorithms, and current enrollment in a computer science or related degree program. Familiarity with coding languages like Python, Java, or C++, and experience with collaborative tools like Git or project management systems are often expected. Strong problem-solving abilities, effective communication, and the ability to work well in teams help interns stand out. These skills and qualifications enable interns to contribute meaningfully to projects and maximize learning in a professional tech environment.

What are Fall Computer Science Internships?

Fall Computer Science Internships are temporary positions offered by companies, organizations, or academic institutions to students or recent graduates during the fall semester. These internships provide hands-on experience in software development, programming, data analysis, or related computer science fields. Interns typically work on real-world projects under the guidance of experienced professionals, gaining valuable technical skills and industry exposure. Fall internships can enhance your resume, expand your professional network, and sometimes lead to full-time job offers after graduation.

What types of projects do Fall Computer Science interns typically work on, and how is mentorship structured?

Fall Computer Science Interns commonly work on real-world projects that align with the company's ongoing initiatives, such as developing new software features, debugging existing applications, or contributing to team-based research. Mentorship is usually provided through a designated supervisor or a buddy system, offering regular check-ins, code reviews, and guidance on both technical and professional growth. Interns are encouraged to collaborate closely with other engineers, attend team meetings, and actively participate in brainstorming sessions, which helps them build valuable skills and expand their professional network.

What job categories do people searching Fall Computer Science Internships jobs in Berkeley, CA look for?

The top searched job categories for Fall Computer Science Internships jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Fall Computer Science Internships jobs?

Cities near Berkeley, CA with the most Fall Computer Science Internships job openings:

Fall Computer Science Internships jobs near you
Infographic showing various Fall Computer Science Internships job openings in Berkeley, CA as of August 2026, with employment types broken down into 33% Internship, and 67% Part Time. Highlights an 67% In-person, and 33% Remote job distribution.

Lecturer, Data Science (Temporary Employee Pool)

University of the Pacific

San Francisco, CA

Part-time

Re-posted 24 days ago

Job description

Position Information
Title Lecturer, Data Science (Temporary Employee Pool) Campus Stockton Department Data Science Posting Number F01077 Full or Part Time Part Time Open Date 05/22/2026 Close Date 12/14/2026 Open Until Filled Yes Days Per Week 3 Weeks Per Year 15
Position Description
Primary Purpose and Essential Functions
The University of the Pacific is seeking a dynamic and data-driven Adjunct Faculty member to lead a specialized, one-unit experiential learning course in Customer Analytics for the Fall 2026 semester.
The School of Engineering and Computer Science at the University of Pacific invites applications for a part-time, non-tenure track Lecturer position in the Data Science Department. We are seeking a lecturer to teach a 1-unit, 15-week asynchronous online course for the Master of Science in Data Science program. The lecturer will be responsible for organizing course content and materials, producing weekly video lectures aligned with the course's learning outcomes, designing and grading weekly assignments, and providing online (office hour) support to students. In addition, the instructor will also create and coordinate project work for the weekly, in-person, 3-hour Data Science Socratic Lab, which provides an interactive support component for students enrolled in asynchronous courses.
We are looking for someone with expertise to teach the following courses:
  • Customer Analytics (fall semester)

University of the Pacific recognizes that diversity, equity, and inclusion is foundational to the success of our valued students and employees. We prioritize policy and decision-making that demonstrates awareness of, and responsiveness to, the ways socio-cultural forces related to race, gender, ability, sexuality, socio-economic status, etc. impede or propel students, faculty, and staff.
Minimum Qualifications
  • Master's or Ph.D. in Data Science, Computer Science, Business Analytics, or a related field
  • Demonstrated experience in retail analytics, e-commerce, or consumer data modeling.
  • A commitment to experiential learning and the ability to translate technical concepts into business value.
Preferred Qualifications
  • Knowledge and experience in data science, specifically customer analytics.
  • Experience and sensitivity in working with people of diverse backgrounds and cultures.
  • Demonstrated experience in advancing social justice, equity, and inclusion in a university setting.
  • Ability to engage and integrate culturally responsive practices and knowledge in their work.
Physical Requirements
Physical Requirements:
The physical demands described here are representative but not definitive of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Requires extended periods of sitting and repetitive hand/wrist motion while using a computer keyboard and phone. Occasional standing, walking, climbing stairs, bending, stooping, and reaching. Occasional lifting of up to 25 pounds.

No Visa Sponsorship:
This position is not eligible for visa sponsorship now or in the future.
Hiring Range $5000.00 per unit (We consider factors such as, but not limited to, scope and responsibilities of the position, candidate's qualifications, internal equity, as well as market and organizational considerations when extending an offer.) Special Instructions
To apply, please submit the following:
  • Curriculum vitae
  • Contact information for three references
Contact Information
Dr. James Hetrick
Professor/Director of Data Science.
email: jhetrick@PACIFIC.EDU
Contact Email jhetrick@pacific.edu
Reference Letter Information
Are Applicants Required to Submit References for This Posting? Yes Minimum Number of References 3 Maximum Number of References 3 Background Check Statement
All applicants who receive a conditional offer of employment are required to execute a release and authorization for a background screening.
AB 810 Misconduct Disclosure Requirement: University of the Pacific complies with California Assembly Bill 810, requiring candidates accepting conditional job offers to disclose any final administrative or judicial findings, ongoing proceedings, allegations, resignations under investigation, or appeals related to sexual harassment or misconduct within the past seven years.
Anti-Discrimination/EEO Policy Statement

University of the Pacific is an equal opportunity employer dedicated to workforce diversity across backgrounds, experiences, and viewpoints. Pacific does not unlawfully discriminate in its hiring of faculty and staff, or in the provision of its employment benefits to its faculty and staff on the basis of race, color, religion, national origin, ancestry, age, genetic information, sex/gender, marital status, military and veteran status, sexual orientation, medical condition, pregnancy, gender identity, gender expression, or mental or physical disability, or other legally protected characteristics or combination of such characteristics. While we strive to attract a broad and representative pool of candidates, all hiring decisions are made based on merit, selecting the most qualified individual for each position.

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