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Introducing OpenAI GPT-5.3-Codex-Spark Powered by Cerebras>

join us on our journey to transform ai compute forever

As an intern at Cerebras, you will work at the forefront of AI innovation, solving complex problems with passionate and collaborative teams, contributing to innovative projects, and gaining hands-on experience in a dynamic and inclusive environment.

Cerebras is a hands-on environment that truly values mentorship and collaborative learning. I was paired with approachable mentors and a supportive team that helped me get up to speed quickly and build confidence. I also had the opportunity to work on real software optimization projects that directly impact Cerebras’ inference and training products, learning something new every day.

Tanushanth Thavanenthiran
Intern - PEY, Runtime (Toronto) 

The hiring process was smooth and fast, and my mentor helped me onboard quickly with the right resources. I’ve worked on real projects ranging from Grafana dashboards to model usage reports and infrastructure testing, while learning constantly from supportive teammates and even touring our datacenter. The collaborative culture, opportunities to learn, and friendships I’ve built made this an unforgettable experience.

Sujay Mehta
Intern, Inference Service (Sunnyvale)

What to Expect as an InternDay-to-Day Responsibilities:

  • Day-to-Day Responsibilities:

Interns at Cerebras collaborate closely with their teams through daily standups, sharing progress and solving challenges together. You’ll contribute to real projects by writing code, fixing bugs, participating in code reviews, and using tools like Git, while testing, debugging, and learning through mentorship and team knowledge-sharing.

  • Professional Development:

We treat interns as full team members and invest in their growth. The program focuses on skill development, mentorship, and future opportunities at Cerebras. Hear directly from our previous interns about their experiences.

Internship Oppurtunities

  • Available Internships:

We hire interns for various teams including the following, depending on current business needs: Runtime, Stack, Compiler, Applied ML, ML Framework, AI Cloud, DevOps, Product, and more!

  • Internship Duration:

Our internships vary from 12 weeks to 18 months. We can accommodate different schedules as well as start and end dates based on school and student requirements.

Hiring Process

  • Application Process

Apply to the internship that interests you by submitting your resume and transcript (official or unofficial). Our intern roles are posted on university job boards in January, May, and September, and are also available on our Careers page.

  • Interviews & Timeline

The interview process typically includes 1–3 sessions lasting 30–60 minutes, featuring technical and live-coding assessments along with behavioral questions. From job posting to offer, the process usually takes 2–4 weeks. We recruit interns one semester ahead of their start date, with primary hiring periods in September, January, and May.

Perks and Benefits

Compensation

Competitive hourly salary and a relocation bonus can be provided where required.

Perks

Collaborative office environment and daily catering for lunch included.

Social Events

Interns enjoy a variety of social perks, including team outings, office events, and company-wide social events.

FAQ

Schedule a meeting to discuss your AI vision and strategy.

Performance comparisons are based on third-party benchmarking or internal testing. Observed inference speed improvements versus GPU-based systems may vary depending on workload, configuration, date and models being tested.

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