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Computer Major Jobs in California (NOW HIRING)

Working knowledge of computer networking, LAN and WAN technologies, high-capacity and fiber-connected networks * Proven networking, negotiation and closing abilities * Valid and active State driver ...

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Computer Major information

See California salary details

$33.1K

$47.7K

$62.7K

How much do computer major jobs pay per year?

As of Jun 7, 2026, the average yearly pay for computer major in California is $47,665.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,500.00 and $54,800.00 per year, depending on experience, location, and employer.

What is the difference between Computer Major vs Software Developer?

AspectComputer MajorSoftware Developer
Required CredentialsDegree in Computer Science or related fieldDegree often preferred; coding certifications beneficial
Work EnvironmentAcademic, research, or industry settingsTech companies, startups, corporate IT teams
Employer & Industry UsageUniversities, research labs, tech firmsSoftware companies, tech departments
Common Search & Comparison IntentUnderstanding educational background vs job roleJob responsibilities, skills, career path

Computer Major is an academic degree focusing on foundational computing principles, while a Software Developer is a professional role involving coding and creating software applications. Many with a Computer Major pursue careers as Software Developers, but the major covers broader topics beyond coding, such as hardware, algorithms, and systems. Understanding these differences helps clarify educational paths versus career roles in the tech industry.

What types of projects or assignments can I expect as a computer major in an entry-level role?

As a computer major starting in an entry-level position, you can expect to work on a variety of projects such as software development, debugging applications, conducting code reviews, or assisting with IT support. You may also be involved in collaborative tasks like contributing to team meetings, documenting technical processes, and working closely with other developers or cross-functional teams. These assignments are designed to help you build foundational skills while gaining exposure to different areas within the field, setting you up for future advancement opportunities.

What is a Computer Major?

A Computer Major typically refers to a student who is pursuing a degree in computer science, computer engineering, or a related field at a college or university. This major covers areas such as programming, algorithms, software development, data structures, computer systems, and often includes topics like artificial intelligence, cybersecurity, and networking. Students gain both theoretical knowledge and practical skills that prepare them for careers in technology, research, or software development. A Computer Major often has strong problem-solving skills and learns to work collaboratively on complex projects.

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 strong analytical thinking, problem-solving abilities, and a solid grasp of programming fundamentals, typically supported by coursework in algorithms, data structures, and mathematics. Familiarity with coding languages (such as Python, Java, or C++), version control systems like Git, and basic software development tools is essential. Effective communication, teamwork, and adaptability are soft skills that help you excel in collaborative projects and complex problem-solving environments. These skills and qualities are crucial for success, as they enable you to learn new technologies, work efficiently in teams, and tackle real-world computing challenges.
What cities in California are hiring for Computer Major jobs? Cities in California with the most Computer Major job openings:
Machine Learning Engineer - Computer Vision & NLP

Machine Learning Engineer - Computer Vision & NLP

Voxelcloud

Los Angeles, CA โ€ข On-site

$123K - $148K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago


Job description

Company Description
Founded in 2016, VoxelCloud is a Los Angeles-based leader worldwide in artificial intelligence (AI) analysis of medical images. Backed by Sequoia and Tencent. We help healthcare providers make better/earlier diagnoses and other clinical decisions. http://www.voxelcloud.ai
Job Description
The R&D team (located in Los Angeles, CA) is involved with creating innovative solutions using deep learning tailored to the needs of the product lines (Thorax/Retina/Cardio/Skin). We are currently hiring a full-time engineerto join our model team.
Responsibilities:
  • Develop deep learning models for prototyping and production purposes according to product feature request
  • Design, implement and test model experiments using major deep learning frameworks
  • Document experiments findings and results with supporting summary statistics for peer discussion and review (Confluence)
  • Provide insights to data collection and annotation and collaborate with the data team for in-house data management and labelling
  • Write production and deployment code (dockerization), iterate deployed models for optimal performance and inference speed
  • Conduct methodology research in deep learning to drive scalable, real-time implementation

Qualifications
Basic Qualifications
  • MS degree in computer science, engineering, or mathematics
  • 1+ years of relevant experience in building deep learning solutions for computer vision problems
  • 1+ years of relevant experience in building deep learning solutions for NLP problems
  • Proficient with at least one major deep learning framework, preferably TensorFlow/Pytorch
  • Proficient in Python
  • Good CS fundamentals in data structures and algorithm
  • Detail-oriented, well organized and self-motivated with a continuous drive to learn, explore and be challenged
  • Work well in teams and communicate ideas clearly

Preferred Qualifications
  • PhD degree in computer science, engineering, or mathematics
  • 3+ years of relevant experience in building deep learning solutions for computer vision problems
  • 2+ years of relevant experience in building deep learning solutions for NLP problems
  • Hands-on experience with Transformers, Bert, and other advanced NLP models
  • Hands-on experience with state-of-the-art object detection, semantic segmentation, and image classification models
  • Track record of publications in CV and NLP is a plus
  • Hands-on experience with model optimization (e.g., network quantization and half-precision training) is a plus
  • Prior experience with medial images is a plus
  • Prior experience with medial report mining is a BIG plus

Additional Information
We Offer...
  • An outstanding start-up culture;
  • Transparent, collaborative work environment;
  • Competitive compensation
  • Excellent Medical, Dental, and Vision coverage
  • 401k, paid Vacation and Holiday

All your information will be kept confidential according to EEO guidelines.
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