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Computer Science Student Jobs in Santa Clara, CA

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

This in-person internship offers a small cohort of students the opportunity to work directly ... Computer Science * Data Science & Analytics * Applied AI & Machine Learning * Enterprise ...

Evolver

Applied Data Science Intern

Palo Alto, CA

This in-person internship offers a small cohort of students the opportunity to work directly ... Computer Science * Data Science & Analytics * Applied AI & Machine Learning * Enterprise ...

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Computer Science Student information

See Santa Clara, CA salary details

$66.4K

$97.6K

$115.1K

How much do computer science student jobs pay per year?

As of Aug 21, 2026, the average yearly pay for computer science student in Santa Clara, CA is $97,606.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $109,800.00 per year, depending on experience, location, and employer.

What is a computer science student?

A Computer Science Student job typically refers to internships, part-time roles, or research positions where students apply their programming, problem-solving, and analytical skills. These jobs help students gain practical experience in areas like software development, data analysis, cybersecurity, or artificial intelligence. Responsibilities may include coding, debugging, testing, and collaborating on technical projects. Such roles provide valuable hands-on learning and can enhance job prospects after graduation.

What are the typical projects or assignments a computer science student might work on during their studies or internships?

Computer Science Students often engage in a variety of hands-on projects, such as developing software applications, creating algorithms, designing websites, or building simple databases. They may also participate in group projects, hackathons, or collaborative coding tasks that simulate real-world problem-solving scenarios. During internships, students often contribute to larger codebases, assist with debugging, write documentation, and sometimes interact directly with clients or end-users. These experiences help students apply their classroom knowledge, develop teamwork skills, and gain valuable exposure to industry tools and practices.

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

A Computer Science Student should possess strong analytical abilities, problem-solving skills, and a foundational knowledge of programming languages such as Python, Java, or C++, usually supported by formal coursework or certifications. Familiarity with tools like integrated development environments (IDEs), version control systems (e.g., Git), and common databases is important for practical application of concepts. Excellent time management, teamwork, and communication skills help students balance coursework and collaborate effectively on group projects. These attributes are crucial for building a solid technical foundation, excelling academically, and preparing for internships or future employment.

What jobs can computer science students get?

Computer science students can pursue roles such as software developers, web developers, data analysts, cybersecurity analysts, and IT support specialists. These positions often require programming skills, knowledge of algorithms, and familiarity with tools like Java, Python, or SQL, and may involve internships or entry-level opportunities to gain experience.

Which job is best for computer science students?

Computer science students often pursue roles such as software developer, data analyst, or systems analyst, which utilize programming skills, problem-solving, and knowledge of algorithms. Internships and entry-level positions in tech companies provide practical experience and can lead to full-time employment in software engineering, cybersecurity, or IT support.

Which work can a computer science student do?

A computer science student can work as a software developer, web developer, or IT support technician, often gaining experience through internships or part-time roles. These positions typically require programming skills, knowledge of coding languages, and familiarity with development tools or operating systems.

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

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

What are popular job titles related to Computer Science Student jobs in Santa Clara, CA?

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

What job categories do people searching Computer Science Student jobs in Santa Clara, CA look for?

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

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

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

Computer Science Student jobs near you
Infographic showing various Computer Science Student 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 $97,606 per year, or $46.9 per hour.

Applied Data Science Intern

Evolver

Palo Alto, CA • On-site

Full-time, Internship

Re-posted 3 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