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Computer Science Major Jobs in Berkeley, CA (NOW HIRING)

PhD in Computer Science, Applied Mathematics, or a related field, or equivalent practical ... Strong knowledge of AWS or another major cloud provider for MLOps, big data processing, and ...

iOS Developer

San Francisco, CA · On-site

$61 - $84/hr

Would you like to help create the next major innovation in and around the payment landscape ... Computer Science fundamentals in data structures, algorithms and complexity analysis Bonus ...

Bachelor's degree in Computer Science, Math, or a related field * Experience with AI and machine learning is a plus Benefits & Perks * Our comp is competitive against major LLM frontier lab packages

... degree required, preferably in Computer Science. Candidate must have, 5+ years of tableau ... analysis for major data automation projects. Strong SQL skills are required. Ability for ...

Showing results 41-60

Computer Science Major information

See Berkeley, CA salary details

$68.9K

$101.3K

$119.5K

How much do computer science major jobs pay per year?

As of Sep 2, 2026, the average yearly pay for computer science major in Berkeley, CA is $101,318.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $114,000.00 per year, depending on experience, location, and employer.

What is a computer science major?

A Computer Science major is an undergraduate program that focuses on the study of computers, computational systems, and software. Students in this major learn programming languages, algorithms, data structures, computer architecture, and topics like artificial intelligence and cybersecurity. The major prepares students for a wide range of technology careers, including software development, data analysis, and IT. Coursework often includes both theoretical foundations and practical application through projects and internships.

What are the key skills and qualifications needed to thrive as a computer science major, and why are they important?

To thrive as a Computer Science Major, you need a strong grasp of programming languages, algorithms, and foundational mathematics, typically supported by coursework in computer science or related fields. Familiarity with tools such as integrated development environments (IDEs), version control systems like Git, and possibly certifications in programming or cloud technologies is advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills that help students excel in both collaborative and independent projects. These combined abilities ensure success in coursework, internships, and future careers in software development, research, or technology-related roles.

What types of collaborative projects can computer science majors expect to work on during internships or entry-level roles?

Computer Science majors often collaborate on projects such as developing new software features, debugging existing applications, or creating internal tools with cross-functional teams. These projects typically involve working closely with other developers, product managers, and designers, providing valuable experience in teamwork and agile methodologies. Such collaboration not only builds technical skills but also enhances communication and problem-solving abilities, which are highly valued in the tech industry.

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

AspectComputer Science MajorSoftware Developer
Required CredentialsDegree in Computer Science or related fieldTypically a degree in Computer Science, Software Engineering, or related field; certifications helpful
Work EnvironmentAcademic settings, research labs, tech companiesCorporate, startup, or freelance software development environments
Industry UsageEducational programs, research, and developmentBuilding, testing, and maintaining software applications
Common Search/ComparisonEducational background, skills, career pathsJob roles, skills, salary expectations

While a Computer Science Major provides foundational knowledge and credentials, a Software Developer applies those skills to create and maintain software in various work environments. Both roles often overlap, but the major is more academic, whereas the developer role is more practical and project-focused.

What can I do with a computer science major?

A computer science major prepares individuals for a variety of roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. These roles often require skills in programming languages, problem-solving, and understanding of computer systems, with opportunities in technology companies, finance, healthcare, and government sectors.

What jobs can you get with a computer science major?

A computer science major can pursue roles such as software developer, systems analyst, database administrator, cybersecurity analyst, or web developer. These jobs typically require programming skills, knowledge of algorithms, and familiarity with tools like Java, Python, or SQL, often within technology or finance industries.

What jobs do most computer science majors get?

Most computer science majors find employment as software developers, computer programmers, or systems analysts. They often work in roles involving coding, software design, and troubleshooting, frequently using programming languages like Java, Python, or C++. Many also pursue careers in cybersecurity, data analysis, or network administration depending on their skills and interests.

What type of careers can you get with a computer science major?

A computer science major can lead to careers such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. These roles often require knowledge of programming languages, algorithms, and computer systems, and may involve working in various industries like technology, finance, healthcare, and government.

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

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

Infographic showing various Computer Science Major job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $101,318 per year, or $48.7 per hour.

Postdoctoral Researcher - Machine Learning for Materials Science

Lawrence Berkeley National Laboratory

Berkeley, CA • On-site

$99K - $110K/yr

Full-time

Posted 12 days ago


Lawrence Berkeley National Laboratory rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

2nd of 120 rated laboratories


Job description

Lawrence Berkeley National Laboratory is hiring a Postdoctoral Researcher - Machine Learning for Materials Science within the Molecular Foundry division. Molecular Foundry is a Department of Energy-funded nanoscience research user facility that provides access to cutting-edge expertise and instrumentation in a collaborative, multidisciplinary environment to scientists from around the world. Through a peer-reviewed applications process, scientists gain access to our facilities and become users of our scientific tools and expertise.
The Postdoctoral Researcher will work at the Molecular Foundry in collaboration with researchers from Argonne National Lab and Oak Ridge National Lab on a collaborative Department of Energy funded project "AlphaFold for Microelectronics". The role will be to develop data infrastructure to capture and curate both experimental and simulation data and collaboratively build machine learning models to predict behavior of novel materials for memristor applications. This is an opportunity to contribute to a vibrant research community dedicated to doing excellent science in a supportive and inclusive environment.
You will:
  • Collaborate with scientists in developing workflows to capture data and metadata for both experiments and simulations and store them in the Crucible data platform.
  • Collaborate with experimental and computational researchers to define appropriate metadata, data-quality requirements, and analysis-ready data structures.
  • Develop machine learning models that integrate multimodal experimental and simulation data.
  • Contribute to the development of Crucible Data Platform using software best practices.
  • Present research results at national conferences and author publications.

We are looking for:
  • Ph.D. in Physics, Chemistry, Material Science, Computer Science or a closely related field.
  • Demonstrated knowledge of Python or another major programming language for data analysis and familiarity with machine learning approaches for data analysis.
  • Knowledge of Machine Learning methods for materials science applications.
  • Strong organizational skills including the ability to prioritize work, meet deadlines, and contribute to the planning of a scientific research program.
  • Excellent oral and written communication skills including the ability to organize technical/scientific information, publish in top journals, and present at conferences.
  • Strong teamwork and interpersonal skills including the ability to collaborate with a diverse interdisciplinary research team.

Additional information:
  • Application date: Priority consideration will be given to candidates who apply by September 3, 2026. Applications will be accepted until the job posting is removed.
  • Appointment type: This is a full-time 2-year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
  • Salary range: This position is represented by a union for collective bargaining purposes. This position is represented by a union for collective bargaining purposes. The salary range for this position is $99,192 - $110,808. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral experience.
  • Background check: This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
  • Work modality: Work will be primarily performed at:Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites (for more information click here).

Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov
Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.
Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts an offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; or have filed an appeal of a finding of substantiated misconduct with a previous employer. For additional information, click here.

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