ZipRecruiter

Log In

1

Internship Code Tester Jobs in California (NOW HIRING)

Galent

Entry Level Middleware Engineer

Milpitas, CA · On-site

Develop software using C, C++, C#, and Python following coding standards and best practices ... Execute functional, integration, and regression testing. * Analyze software defects, perform ...

Axos Bank

Automation Analyst Intern

San Diego, CA · On-site

$20 - $25/hr

... code solutions that improve efficiency across the organization. This role provides hands-on ... development, testing, and deployment within a regulated financial services environment. Interns ...

Tenex.AI Inc

Software Engineer Intern

San Jose, CA · On-site

Our internship opportunity is a 12 week program. * Position requires 30 hours per week, Monday ... coding, code review, testing, bug fixing, and code/API documentation. * Write clean, well ...

previous page

Showing results 41-60

All JobsCode Tester JobsInternship Code Tester JobsInternship Code Tester Jobs in California

Internship Code Tester information

What does an internship code tester do?

An Internship Code Tester assists software development teams by testing and evaluating code to find bugs, errors, and other issues before software is released. They work closely with developers to understand requirements, execute test cases, and document any problems they discover. This role provides hands-on experience in software testing methodologies, debugging, and quality assurance processes, making it an excellent starting point for a career in software development or QA.

What are the key skills and qualifications needed to thrive as an internship code tester, and why are they important?

To thrive as an Internship Code Tester, you need a basic understanding of programming concepts, software testing methodologies, and a relevant academic background, such as computer science coursework. Familiarity with testing tools like Selenium, JUnit, or Postman, as well as bug tracking systems such as Jira, is often expected. Attention to detail, analytical thinking, and effective communication are crucial soft skills for identifying issues and collaborating with development teams. These competencies ensure accurate defect detection, efficient test execution, and clear reporting, all of which contribute to delivering reliable software products.

What are some common challenges faced by internship code testers, and how can they overcome them?

Internship Code Testers often encounter challenges such as understanding complex codebases, adapting to different testing frameworks, and effectively communicating bugs or issues to developers. To overcome these hurdles, interns should proactively seek clarification from mentors, make use of documentation, and regularly participate in team meetings. Building strong collaboration skills and being open to feedback can also help interns integrate smoothly into the team and accelerate their learning curve.

What is the difference between Internship Code Tester vs Software Tester?

AspectInternship Code TesterSoftware Tester
CredentialsTypically pursuing or recent graduate in Computer Science or related fieldOften requires similar educational background, sometimes with certifications like ISTQB
Work EnvironmentInternship setting, supervised, entry-level tasksFull-time or part-time professional role, more independent
Industry UsageUsed in tech companies, startups, and software firms for trainingCommon across IT, software development, and quality assurance teams

Internship Code Testers are entry-level trainees gaining hands-on experience, while Software Testers are experienced professionals responsible for ongoing quality assurance. The internship role is ideal for beginners, whereas the Software Tester role requires more expertise and independence.

What are the most commonly searched types of Code Tester jobs in California?

The most popular types of Code Tester jobs in California are:

What are popular job titles related to Internship Code Tester jobs in California?

For Internship Code Tester jobs in California, the most frequently searched job titles are:

What job categories do people searching Internship Code Tester jobs in California look for?

The top searched job categories for Internship Code Tester jobs in California are:

What cities in California are hiring for Internship Code Tester jobs?

Cities in California with the most Internship Code Tester job openings:

Internship Code Tester jobs near you
Infographic showing various Internship Code Tester job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Internship - 2024 Summer Intern, PhD Research Scientist, Generative AI

Waymo

Mountain View, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to get where they're going. Since our start as the Google Self-Driving Car Project in 2009, Waymo has been focused on building the Waymo Driver-The World's Most Experienced Driver-to improve everyone's access to mobility while saving thousands of lives now lost to traffic crashes. Our Waymo Driver powers Waymo One, our fully autonomous ride-hailing service, as well as Waymo Via, our trucking and local delivery service. To date, Waymo has driven over 20 million miles autonomously on public roads across 25 U.S. cities and conducted over 20 billion miles of simulation testing.
At Waymo, we are mission-driven and believe deeply in the opportunity of autonomous driving technology to improve mobility and make people's lives better. We are united by purpose and responsibility (for our employees and riders alike). We are looking for kind, committed, employees who have integrity, dream big, work together as one team and create a sense of belonging for one another that is the foundation of our culture. We want each team member to feel welcomed and included in every step of our exciting journey.

The mission of the Waymo Research team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. Research areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.

Waymo interns work alongside leaders in the industry on projects that deliver significant impact to the company. We believe learning is a two-way street: leveraging your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!

In this role, you'll:

  • Work on open-ended ML research problems for realistic simulation for the autonomous vehicle's driving environment.
  • Frame the open-ended real-world problems into well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, generative modeling, reinforcement learning, etc) to these problems; scale them to Google-sized data pipelines; and streamline them to run in real-time on the cars.
  • Collaborate with other teams, including the ML infrastructure, simulation and systems engineering teams, as well as Google Brain, DeepMind and academia.
  • Get an opportunity to publish findings in academic conferences and journals, and/or externally publicize the work in public-facing blog posts.

At a minimum we'd like you to have:

  • Currently enrolled in a PhD program in Computer Science, Robotics, similar technical field of study
  • Experience solving problems using Machine Learning with Tensorflow, JAX or equivalent tools
  • Ability to collaborate within and across teams
  • Ability to independently drive a reasonably-scoped, open-ended research project
  • Strong experience programming in Python with robust and efficient code

It's preferred if you have:

  • Strong track record of high quality ML research, for example demonstrated by conference publications in venues such as CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, etc.
  • Experience applying machine learning to sequence modeling, behavior forecasting, simulation, or robotics
  • Experience with generative models (e.g., autoregressive models, diffusion models, GANs, VAEs, etc.)

Apply