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Rust Developer Internship Jobs in Berkeley, CA (NOW HIRING)

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How much do rust developer internship jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for rust developer internship in Berkeley, CA is $28.03, according to ZipRecruiter salary data. Most workers in this role earn between $22.64 and $29.71 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Rust developer internship position, and why are they important?

A Rust Developer Internship typically requires a foundational understanding of Rust programming, knowledge of systems programming concepts, and experience with version control systems like Git. Familiarity with development tools such as Cargo, command-line interfaces, and basic debugging methods is expected, while formal certifications are less common but a portfolio or relevant coursework is advantageous. Strong problem-solving skills, a willingness to learn, effective communication, and teamwork elevate an intern's potential in this collaborative environment. These skills ensure that interns can quickly adapt, contribute to ongoing projects, and thrive in professional software development teams.

What is a Rust developer internship?

A Rust Developer Internship is a temporary position designed for students or entry-level developers to gain hands-on experience working with the Rust programming language. Interns typically assist in developing, testing, and debugging Rust applications, often contributing to open-source projects or company software. They may work alongside experienced developers to learn best practices and improve their coding skills. This internship helps build a strong foundation in systems programming, performance optimization, and memory safety.

What types of projects do Rust developer interns typically work on during their internship?

Rust Developer Interns often contribute to backend infrastructure, tools, or application features, working on tasks such as optimizing code, fixing bugs, adding functionality, or writing documentation. Depending on the company, you may collaborate on open-source initiatives, assist in maintenance of production systems, or help build new services from the ground up. Interns frequently participate in code reviews, team meetings, and cross-functional brainstorming sessions, ensuring exposure to professional workflows. This hands-on environment is designed to strengthen your programming skills while giving you valuable experience in real-world software development practices.

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Infographic showing various Rust Developer Internship job openings in Berkeley, CA as of August 2026, with employment types broken down into 8% Internship, 1% As Needed, 65% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $58,309 per year, or $28 per hour.

Research Scientist, Learnable Planner

Waabi

San Francisco, CA • On-site, Remote

$158K - $269K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 14 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World.
 
You will...
- Design and execute on a research agenda for deep-learning based motion planning for self-driving.
- Leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more.
- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.
- Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.
- Champion engineering excellence, ensuring high-quality, well structured and tested code.
- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog.
 
Qualifications:
- MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be considered.
- Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making).
- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.
- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.
- Proficient in reading and coding in Python.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
 
Bonus/nice to have:
- Previous experience in self-driving technology. 
- Experience deploying ML/DL models to a production motion planning or related robotics stack.
- Proficiency in Pytorch, Rust, C++ and/or CUDA.
The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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