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Graduate Software Developer Jobs in California (NOW HIRING)

Nooks

University Recruiter

San Francisco, CA · On-site

You'll own every aspect of Nooks' early talent strategy-from developing our university brand to hiring our annual class of exceptional new graduate software engineers. You'll create the programs ...

New

Visa

Software Engineer

Foster City, CA · On-site

$60/hr

As a New College Graduate Software Engineer at Visa, you will join one of our technology organizations, working on impactful projects that power the future of digital payments. Your specific ...

Visa

SW Engineer

Foster City, CA · On-site

$124K/yr

Visa will accept applications for this role until at least 08-11-2026 As a New College Graduate Software Engineer at Visa, you will join one of our technology organizations, working on impactful ...

Visa

SW Engineer

Foster City, CA · On-site

$124K/yr

Visa will accept applications for this role until at least 08-10-2026 As a New College Graduate Software Engineer at Visa, you will join one of our technology organizations, working on impactful ...

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All JobsGraduate Software Developer JobsGraduate Software Developer Jobs in California

Graduate Software Developer information

See California salary details

$47.4K

$110.4K

$163.8K

How much do graduate software developer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for graduate software developer in California is $110,380.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $128,300.00 per year, depending on experience, location, and employer.

What is a graduate software developer?

A Graduate Software Developer is an entry-level role for recent graduates in computer science or related fields. They work as part of a development team to design, develop, test, and maintain software applications. Typical responsibilities include writing code, debugging, collaborating with senior developers, and learning best practices. This role provides hands-on experience and helps graduates build technical and problem-solving skills.

What are the key skills and qualifications needed to thrive as a graduate software developer?

To thrive as a Graduate Software Developer, you need a solid understanding of programming languages such as Java, Python, or C++, as well as a degree in computer science or a related field. Experience with version control systems like Git, software development frameworks, and familiarity with operating systems are typically required. Strong problem-solving skills, effective communication, and eagerness to learn make candidates stand out. These competencies are crucial for contributing to projects, adapting to fast-changing technologies, and working efficiently within collaborative development teams.

What are typical career progression opportunities for a graduate software developer?

Graduate Software Developers often start by working closely with experienced team members on code development, bug fixing, and testing. As you gain experience and demonstrate your abilities, you can move into roles such as Software Developer, Senior Developer, or even into specialized areas like DevOps, QA, or front-end/back-end development. Many companies offer mentorship, training, and clear advancement paths, allowing motivated graduates to progress quickly. Additionally, early exposure to collaborative projects and agile methodologies will help build the foundation for leadership or technical expert positions over time.

What are the most commonly searched types of Graduate Software Developer jobs in California? The most popular types of Graduate Software Developer jobs in California are:
What are popular job titles related to Graduate Software Developer jobs in California? For Graduate Software Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Graduate Software Developer jobs in California look for? The top searched job categories for Graduate Software Developer jobs in California are:
What cities in California are hiring for Graduate Software Developer jobs? Cities in California with the most Graduate Software Developer job openings:
Graduate Software Developer jobs near you
Infographic showing various Graduate Software Developer job openings in California as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $110,380 per year, or $53.1 per hour.

Machine Learning Engineer Graduate (E-Commerce Supply Chain & Logistics) - 2026 Start (PhD)

Lucie Richardson AB

San Jose, CA • On-site

$120 - $150/hr

Other

Posted 5 days ago

Job description

Technology

Machine Learning Engineer Graduate (E‑Commerce Supply Chain & Logistics) - 2026 Start (PhD)

Location: San Jose

Employment Type: Regular

Job Code: A245110

Team Introduction

Join the E‑commerce Global Supply Chain and Logistics team at TikTok! We're enhancing the shopping experience and reducing logistics operational costs. We are seeking brilliant and motivated graduate software engineers, who are eager to apply their knowledge in machine learning (ML), operations research (OR), data mining, and statistical inference to real‑world challenges.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

Responsibilities
  1. Responsible for the development of deep learning and operations research models and related intelligent systems for the supply chain and logistics of the global E‑Commerce business.
  2. Utilize e‑commerce big data and deep learning models to predict end‑to‑end estimated time of arrival (ETA), and some logistics events such as failed delivery, delivered but not received to enhance the user logistics experience. Build logistics network knowledge graphs and predict the spatio‑temporal trajectory sequence of express packages through deep learning, statistical inference and other algorithmic methods. Use NLP and LLM algorithms to handle address problems such as address verification and address suggestion.
  3. Utilize time series forecasting techniques to predict sales at different granularities and horizons, such as warehouse‑level manpower forecastin
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