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

Ahuora

Software Engineer

San Jose, CA · On-site

$150 - $300/hr

Strong computer science fundamentals, with the ability to apply them in diverse contexts * Expert programming skills in at least one major language (e.g., Java, C++, Python) * Proven track record in ...

TikTok

Data Science Manager - TikTok Ads

San Jose, CA · On-site

$254K - $408K/yr

... on major cross-functional measurements, testing, and modeling efforts 6. Partner with Data ... Computer Science, Engineering, Math, Statistics, etc. - Years of experience in data science ...

Efficient Computer

Product Manager

San Jose, CA · On-site

... next major computing revolution This role turns Efficient's product strategy into the technical ... Bachelor's or Master's degree in Electrical Engineering, Computer Science, or a related technical ...

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Computer Science Major information

See Campbell, CA salary details

$65.4K

$96.2K

$113.4K

How much do computer science major jobs pay per year?

As of Sep 2, 2026, the average yearly pay for computer science major in Campbell, CA is $96,191.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,700.00 and $108,200.00 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 Campbell, CA are hiring for Computer Science Major jobs?

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

Computer Science Major jobs near you
Infographic showing various Computer Science Major job openings in Campbell, CA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $96,191 per year, or $46.2 per hour.

Senior HPC Performance Engineer - AI for Science at Scale

Nvidia

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Re-posted 27 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

NVIDIA has become the platform upon which every new AI-powered application is built. We are seeking a Sr. HPC Performance engineer to join our team of scientists and engineers passionate about building the next generation of scientific machine learning (ML) frameworks.

Starting with digital biology, through high performance computing (HPC) and powerful ML methods, together, we will advance NVIDIA's capacity to accelerate AI for Science and industries that depend on it. What you'll be doing: Design and implement computationally performant features for large scale, CUDA-backed ML training frameworks, using low level acceleration and scaling strategies such as kernel design, GPU porting, data structure innovations, distributed learning technologies Optimize computational performance of wide range of business-critical ML models via accelerated hardware and software stack, as well as algorithmic improvements Develop and maintain HPC software stack for atomistic modeling and generative machine learning in digital biology and beyond Collaborate with multiple HPC, AI infrastructure, and research teams Drive the testing and maintenance of the algorithms and software modules What we need to see: Advanced degree in a quantitative field such as Computer Science, Computational Biophysics, Computational Chemistry, Physics, Mathematics, or equivalent experience 5+ years of relevant experience Consistent track record in performance engineering as well as software design, building and packaging and launching software products, with a focus on acceleration Deep understanding of parallel programming in C++, Python; programming experience CUDA or OAI Triton Fluent in modern machine learning frameworks such as PyTorch, JAX, Warp Experience with HPC solutions to research problems for biology or chemistry, including but not limited to atomistic simulations Recognized for technical leadership contributions, capable of self-direction, and ability to learn from and teach others You should display strong communication skills, be organized and self-motivated, and play well with others (be an excellent teammate!) Ways to stand out from the crowd: Contribution to major scientific AI for Science codebase with acceleration features such as new kernels Familiarity with pioneering language and geometric models used in AI for Science applications in biology and chemistry With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We are an equal opportunity employer and value diversity at our company.

We have some of the most forward-thinking, resourceful and talented people in the world working with us and our engineering teams are growing fast in some of the hottest state-of-the-art fields: Digital Biology, Artificial Intelligence, and Autonomous Vehicles. Are you a creative and autonomous engineer with a real passion for machine learning, computational chemistry, data science & parallel computing. If so, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 21, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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