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Graduate Software Engineering Jobs in California

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Junior Software Engineer

San Francisco, CA · On-site

$300K/yr

Each task is a self-contained software engineering challenge with a prompt, an environment, and an ... Have just graduated or are about to graduate * Can code in Python * Are confident working ...

Clerkie

Software Engineer Internship

San Francisco, CA · On-site +1

$80/hr

A soon-to-be or recent graduate (class of 2024 or 2025 preferred) with a degree in Computer Science, Software Engineering, or a related field * Proficiency in JavaScript/TypeScript and experience ...

Sony

Software Engineer Intern

San Diego, CA · Hybrid

Currently enrolled as an undergraduate or graduate student studying Software Engineering or related field with applicable coursework * Experience building web services and applications with Golang ...

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Graduate Software Engineering information

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$62.7K

$145.6K

$202.8K

How much do graduate software engineering jobs pay per year?

As of Jun 19, 2026, the average yearly pay for graduate software engineering in California is $145,592.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $170,700.00 per year, depending on experience, location, and employer.

What is a Graduate Software Engineer?

A Graduate Software Engineer is an entry-level position for individuals who have recently completed a degree in computer science, software engineering, or a related field. They work as part of a development team to design, develop, test, and maintain software applications. Graduate Software Engineers typically receive training and mentorship while working on real-world projects, helping them gain practical experience and build their technical skills. Their responsibilities may include writing code, fixing bugs, collaborating with other team members, and learning industry best practices.

What jobs can I get with a masters in software engineering?

A master's in software engineering qualifies you for roles such as software engineer, systems developer, or application developer. These positions typically require strong programming skills in languages like Java, C++, or Python, and often involve working in teams on software design, development, and testing. Additional roles include technical lead, software architect, and quality assurance engineer, depending on experience and specialization.

What are the key skills and qualifications needed to thrive as a Graduate Software Engineer, and why are they important?

To thrive as a Graduate Software Engineer, you need a solid understanding of programming fundamentals, software development methodologies, and a relevant degree in Computer Science or a related field. Familiarity with coding languages such as Java, Python, or C++, and experience with version control systems like Git, are typically expected. Strong problem-solving abilities, attention to detail, teamwork, and good communication skills help graduates stand out in collaborative technical environments. These skills and qualities are vital for producing high-quality software, adapting to evolving technologies, and contributing effectively to development teams.

Is 25 too late to become a software engineer?

Graduate software engineering roles are open to candidates of all ages, and starting at 25 is common. Many successful software engineers begin their careers later, often after gaining relevant skills through coding bootcamps, online courses, or self-study, making age less of a barrier in the tech industry.

What is the average salary of a graduate software engineer?

The average salary of a graduate software engineer typically ranges from $60,000 to $80,000 annually, depending on location, industry, and company size. Entry-level roles often require knowledge of programming languages like Java, Python, or C++, and may include benefits such as training and mentorship.

What are some common challenges Graduate Software Engineers face during their first year, and how can they overcome them?

Graduate Software Engineers often encounter challenges such as adapting to new codebases, balancing learning with productivity, and effectively communicating within cross-functional teams. It's important to proactively seek mentorship, ask questions, and take advantage of onboarding resources. Participating in code reviews and attending regular team meetings can help build confidence and understanding, while setting small, achievable goals fosters both skill development and a sense of accomplishment.

What do graduate software engineers do?

Graduate software engineers develop, test, and maintain software applications by writing code, debugging, and collaborating with team members. They often work under supervision to gain practical experience, using programming languages like Java, Python, or C++, and may participate in code reviews and agile development processes.
What are popular job titles related to Graduate Software Engineering jobs in California? For Graduate Software Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Graduate Software Engineering jobs in California look for? The top searched job categories for Graduate Software Engineering jobs in California are:
What cities in California are hiring for Graduate Software Engineering jobs? Cities in California with the most Graduate Software Engineering job openings:
Graduate Software Engineering jobs near you
Infographic showing various Graduate Software Engineering job openings in California as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $145,592 per year, or $70 per hour.

Software Engineer Intern - Machine Learning Workflow

Halo Industries, Inc.

Santa Clara, CA

Temporary

Posted 22 days ago

Job description

The Company


Halo Industries has invented a revolutionary technology to replace a decades-old semiconductor material slicing process. Our laser-based technology eliminates waste, improves material cost and performance, and drives advancements in high-growth markets like automotive, telecommunications, and power electronics. Founded in 2014 at Stanford University, Halo secured significant funding in 2024 and is poised for rapid growth, engaging strategic customers and preparing for volume manufacturing.

The Opportunity

We are looking for a Machine Learning Operations Intern to support data preparation, labeling, training workflows, and validation processes for machine learning systems. The role focuses on executing and monitoring existing ML pipelines, organizing datasets, and helping evaluate model performance.

The intern will work with internal tools and workflows using Python and C#, with guidance from experienced engineers. This position is ideal for someone interested in practical machine learning systems and hands-on experience with real-world data workflows.

Responsibilities
  • Label and organize datasets for machine learning workflows.
  • Run and monitor training and validation pipelines.
  • Assist with evaluating model outputs and identifying data quality issues.
  • Use Python and C# tools to support ML-related workflows and automation.
  • Help troubleshoot pipeline failures and data inconsistencies.
  • Document datasets, experiments, and validation results.
  • Collaborate with engineers to improve workflow efficiency and reliability.
What This Role Offers
  • Hands-on experience with real-world machine learning workflows.
  • Exposure to production ML training and validation systems.
  • Experience working with Python and C# in applied engineering environments.

Requirements

Basic Qualifications
  • Currently pursuing or a recent graduate with a Bachelor`s in Software Engineering, Computer Science, Computer Engineering, or related field.
  • Basic programming experience in Python or C#.
  • Experience working with structured workflows and large datasets.
  • Proficiency to debug simple technical issues and follow documented processes.
Preferred Qualifications
  • Currently pursuing or a recent graduate with a Master`s in Software Engineering, Computer Science, Computer Engineering, or related field.
  • Exposure to machine learning concepts or workflows.
  • Familiarity with Git or collaborative development tools.
  • Experience working with datasets, annotation tools, or automation scripts.

Benefits

Salary Range : 20 - 30 USD per hour.

Apply