1

Software Engineering Intern Winter Jobs in California

Each task is a self-contained software engineering challenge with a prompt, an environment, and an automated grader. You own the full lifecycle: coming up with the idea, implementing the grading ...

Each task is a self-contained software engineering challenge with a prompt, an environment, and an automated grader. You own the full lifecycle: coming up with the idea, implementing the grading ...

Each task is a self-contained software engineering challenge with a prompt, an environment, and an automated grader. You own the full lifecycle: coming up with the idea, implementing the grading ...

Each task is a self-contained software engineering challenge with a prompt, an environment, and an automated grader. You own the full lifecycle: coming up with the idea, implementing the grading ...

Each task is a self-contained software engineering challenge with a prompt, an environment, and an automated grader. You own the full lifecycle: coming up with the idea, implementing the grading ...

Each task is a self-contained software engineering challenge with a prompt, an environment, and an automated grader. You own the full lifecycle: coming up with the idea, implementing the grading ...

Each task is a self-contained software engineering challenge with a prompt, an environment, and an automated grader. You own the full lifecycle: coming up with the idea, implementing the grading ...

... software stacks, GPU programming, and performance optimization. Contributes to the design ... As an intern, learns and applies knowledge, builds skills, and explores future career opportunities ...

Each task is a self-contained software engineering challenge with a prompt, an environment, and an automated grader. You own the full lifecycle: coming up with the idea, implementing the grading ...

Each task is a self-contained software engineering challenge with a prompt, an environment, and an automated grader. You own the full lifecycle: coming up with the idea, implementing the grading ...

Showing results 41-60

Software Engineering Intern Winter information

See California salary details

$13

$25

$38

How much do software engineering intern winter jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for software engineering intern winter in California is $25.08, according to ZipRecruiter salary data. Most workers in this role earn between $20.38 and $28.46 per hour, depending on experience, location, and employer.

What is a software engineering intern winter?

A Software Engineering Intern Winter job is a temporary position for students or recent graduates looking to gain hands-on experience in software development during the winter season. Interns typically work on real-world projects, collaborate with engineering teams, and learn industry-standard tools and practices. Responsibilities may include coding, debugging, testing, and participating in team meetings. These internships help build technical skills and provide exposure to a professional work environment, often serving as a pathway to full-time roles.

What kind of projects or tasks can I expect to work on as a software engineering intern winter?

As a Software Engineering Intern during the winter term, you can expect to work on real-world software development projects, which may include tasks like coding new features, debugging issues, writing automated tests, or contributing to technical documentation. You'll often collaborate closely with experienced engineers, participate in team meetings, and receive feedback through code reviews. The specific projects vary by company and team, but the environment is typically supportive and focused on learning. This experience is designed to help you build practical skills, expand your professional network, and gain insight into the daily work of a software engineer.

What are the key skills and qualifications needed to thrive as a software engineering intern winter?

To thrive as a Software Engineering Intern Winter, you need a solid understanding of programming concepts, problem-solving abilities, and coursework or experience in computer science or related fields. Familiarity with languages such as Python, Java, or C++, as well as version control systems like Git, is commonly expected and can be further supported by relevant coursework or personal projects. Strong communication, eagerness to learn, and the ability to work collaboratively are standout soft skills for this role. These qualities ensure that an intern can effectively contribute to projects, adapt to new technologies quickly, and integrate smoothly within development teams.

What job categories do people searching Software Engineering Intern Winter jobs in California look for?

The top searched job categories for Software Engineering Intern Winter jobs in California are:

What cities in California are hiring for Software Engineering Intern Winter jobs?

Cities in California with the most Software Engineering Intern Winter job openings:

Infographic showing various Software Engineering Intern Winter job openings in California as of August 2026, with employment types broken down into 1% As Needed, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $52,174 per year, or $25.1 per hour.

Software Engineering Intern

Mechanize

San Francisco, CA

Internship

Medical, Dental, Vision, Life, Retirement

Re-posted yesterday


Job description

About Mechanize

Mechanize builds reinforcement learning environments that frontier AI labs use to train and evaluate their coding models. Learn more at mechanize.work.

Why the work matters

AI models have gotten good at narrow coding tasks but still fail at the complex, judgment-heavy parts of software engineering. We build the environments that expose those failures and help models improve.

What you'll do

You'll design, build, and refine RL tasks. Each task is a self-contained software engineering challenge with a prompt, an environment, and an automated grader. You own the full lifecycle: coming up with the idea, implementing the grading infrastructure, running frontier models against the task, analyzing where and why they fail, and iterating until the task is rigorous and fair.

Coming up with good task ideas requires being clever: finding situations where a frontier model will fail in interesting ways, which means seeing gaps that the model itself doesn't see. You will use coding agents heavily, and a large part of the job is directing them well, evaluating their output, and knowing when they are failing in subtle ways.

What makes someone good at this

Strong technical fundamentals combined with an intuition for AI model behavior. You need to anticipate where a model will take shortcuts, distinguish genuine capability gaps from grader issues, and understand how a model will interpret a prompt. Most engineers significantly underestimate what frontier coding agents can already do; candidates who have spent significant time working with them will have a real head start.

Good fit if you:

  • Are graduating in 2026 or 2027

  • Can code in Python

  • Are confident working independently

  • Are motivated by problems that require both technical skill and creative cleverness

  • No prior ML or AI experience required

Probably not a good fit if you:

  • Want a product engineering role building features for end users

  • Prefer a highly collaborative team environment with shared ownership

  • Want extensive structured mentorship

This is independent, high-ownership work. You own your tasks from start to finish, with regular check-ins and feedback. Strong performers are recognized and promoted quickly. Benefits include 401k, health, dental, vision, and life insurance. Applying takes less than one minute.

Interview process: https://www.mechanize.work/how-our-interview-process-works

Learn more about the work: https://www.mechanize.work/what-working-here-is-like

About Mechanize. ~20 person team in San Francisco. Backed by Patrick Collison, Nat Friedman, Daniel Gross, Jeff Dean, Dwarkesh Patel, and Sholto Douglas. Featured in the New York Times, the Dwarkesh Podcast and Hard Fork.