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Computer Science Entry Level New Grad Jobs in California

Exponent Inc.

Computer Scientist (Ph.D.)

Menlo Park, CA · On-site

$132K - $154K/yr

... new business leads and expand offerings and value to Exponent's current clients You will have the following skills and qualifications * Ph.D. in Computer Science, Computer Engineering, Electrical ...

Exponent Inc.

Computer Scientist (Ph.D.)

Menlo Park, CA · On-site

... new business leads and expand offerings and value to Exponent's current clients You will have the following skills and qualifications * Ph.D. in Computer Science, Computer Engineering, Electrical ...

quadric, Inc

AI Kernel Engineer (New Grad)

Burlingame, CA · On-site

$120K - $160K/yr

Role The AI Kernel Engineer (New Grad) at Quadric plays a key role in enabling a large number of AI ... Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, or a related field.

AppLovin

Backend Engineer, New Grad

Palo Alto, CA

... novel new systems that integrate into that ecosystem and improve it Our backend systems handle ... Have excellent knowledge of computer science fundamentals including data structures, algorithms ...

quadric, Inc

AI Kernel Engineer (New Grad)

Burlingame, CA · On-site

$120K - $160K/yr

Role The AI Kernel Engineer (New Grad) at Quadric plays a key role in enabling a large number of AI ... Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, or a related field.

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Computer Science Entry Level New Grad information

What are the key skills and qualifications needed to thrive as a Computer Science Entry Level New Grad, and why are they important?

To thrive as a Computer Science Entry Level New Grad, you need a foundational understanding of programming languages (such as Python, Java, or C++), data structures, algorithms, and a bachelor's degree in computer science or a related field. Familiarity with version control systems like Git, basic database technologies, and relevant certifications (such as AWS Certified Cloud Practitioner) can be advantageous. Strong problem-solving abilities, communication skills, and a willingness to learn help new grads excel in collaborative and fast-evolving technical environments. These skills enable effective contribution to projects, quick adaptation to new technologies, and successful integration into professional development teams.

What is the difference between Computer Science Entry Level New Grad vs Software Developer?

AspectComputer Science Entry Level New GradSoftware Developer
Required CredentialsBachelor's in Computer Science or related fieldBachelor's or higher in Computer Science or related field
Work EnvironmentInternships, entry-level roles, training programsFull-time development teams, corporate or startup settings
Employer & Industry UsageTech companies, startups, government agenciesTech firms, software companies, IT departments
Search & Comparison IntentYesYes

While both roles often require similar educational backgrounds, a Computer Science Entry Level New Grad typically refers to recent graduates starting their careers, often in internships or training programs. A Software Developer usually indicates a full-time position with more responsibilities. The main difference lies in experience level and job maturity, with the New Grad role serving as an entry point into the software development industry.

What are Computer Science Entry Level New Grad jobs?

Computer Science Entry Level New Grad jobs are positions designed for individuals who have recently graduated with a degree in computer science or a related field and have little to no professional experience. These roles typically involve tasks such as software development, testing, troubleshooting, and maintaining code under the supervision of more experienced engineers. Employers often look for strong foundational programming skills, problem-solving abilities, and a willingness to learn. Such positions offer new graduates the opportunity to gain hands-on experience, mentorship, and career growth within the tech industry.

What are some typical projects or tasks assigned to entry-level computer science new grads during their first year?

Entry-level computer science new grads are often assigned to work on well-defined tasks such as fixing bugs, writing unit tests, or developing small features under the guidance of more experienced engineers. These projects help new grads become familiar with the codebase, development methodologies, and company tools. Over time, they may take on more complex assignments or contribute to team-wide initiatives, collaborating closely with peers, mentors, and cross-functional teams such as QA or product management. This structure supports learning and helps new grads build confidence as they grow into their roles.
What are popular job titles related to Computer Science Entry Level New Grad jobs in California? For Computer Science Entry Level New Grad jobs in California, the most frequently searched job titles are:
What job categories do people searching Computer Science Entry Level New Grad jobs in California look for? The top searched job categories for Computer Science Entry Level New Grad jobs in California are:
What cities in California are hiring for Computer Science Entry Level New Grad jobs? Cities in California with the most Computer Science Entry Level New Grad job openings:
Computer Science Entry Level New Grad jobs near you
Infographic showing various Computer Science Entry Level New Grad job openings in California as of May 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

PhD Computer Science Expert for AI Training

Lifted, an Upwork Company™

California City, CA • On-site, Remote

$150/hr

Contractor

Posted 10 days ago

Job description

Company Description
An enterprise client is seeking highly technical Computer Science Experts with PhDs to support the training and evaluation of advanced AI models. This initiative focuses on improving the accuracy, reasoning, and domain expertise of generative AI systems through expert human feedback.
The selected candidates will contribute to the company's large AI training project by evaluating AI-generated responses, developing domain-specific prompts, and assessing technical accuracy across complex Computer Science topics. This is a fully remote, freelance opportunity with flexible working hours and the potential for ongoing work beyond the initial project timeline.
Job Description
This opportunity is ideal for highly analytical professionals with advanced academic or industry experience in Computer Science or related technical fields.
What You'll Do:
  • Assess the factual accuracy, relevance, and quality of AI-generated Computer Science content
  • Craft and answer domain-specific questions related to Computer Science and adjacent technical disciplines
  • Evaluate and rank AI-generated responses based on technical correctness and reasoning quality
  • Provide expert-level feedback to improve AI model performance and domain understanding
  • Support AI training initiatives by applying research, analytical thinking, and technical expertise

This role is a strong fit for professionals with backgrounds in:
  • Computer Science
  • Software Engineering
  • Machine Learning
  • Cybersecurity
  • Distributed Systems
  • Computational Science
  • Information Theory
  • Quantitative Finance (highly preferred)
  • Statistics
  • Electrical & Computer Engineering
  • Technical Research or Academia

Qualifications
Requirements:
  • Native or fluent English communication skills (written and verbal)
  • PhD in Computer Science or a closely related technical field
  • Experience working as a software engineer, researcher, or in another highly technical or analytical role
  • Strong technical reasoning and attention to detail
  • Ability to assess complex AI-generated technical outputs with accuracy and consistency

Nice to Haves:
  • Strong academic or industry research background
  • Experience reviewing technical content, publications, or research outputs
  • Familiarity with AI systems, large language models, or AI evaluation workflows
  • Experience in advanced Computer Science domains such as machine learning, distributed systems, or cybersecurity

Additional Information
  • Fully remote freelance opportunity with flexible working hours
  • Work is expected to begin immediately and continue through the end of June, with potential extensions
  • Compensation: Up to $150 USD per hour based on project participation
  • Weekly lump-sum payments issued for completed work tracked within the client platform
  • No guaranteed hours or task volume; work availability may vary weekly
  • Candidates must be physically located in one of the following regions: United States, Canada, Puerto Rico, Mexico, Great Britain, Australia, New Zealand, or Argentina
  • Selected candidates will receive onboarding instructions and platform access after acceptance
  • Candidates should not independently create an Outlier profile prior to onboarding

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