Cerebras Systems

Cerebras Systems

Security SWE

Sunnyvale CA or Toronto Canada

Sponsorship not specifiedDetected 97 days ago
ReactNext.jsPostgreSQLMachine LearningLLMsComplianceCommunicationProblem Solving

About the role

  • As a frontend engineer on our AI cloud, you will work on our customer-facing inference, training, and admin consoles and API experiences.
  • We're looking for talented software engineers who thrive in ambiguity, view change as an opportunity, and have a voracious desire to learn and share knowledge clearly and concisely.

Responsibilities

  • People who are serious about software make their own hardware.
  • Build a breakthrough AI platform beyond the constraints of the GPU.
  • We believe inclusive teams build better products and companies.

Skills

  • Deep experience with web technologies such as NextJS, React, and TailwindCSS.
  • Familiarity with backend technologies such as Prisma, PostgreSQL, and Auth.js.
  • Experience with building high-reliability, production-grade cloud solutions.
  • Familiarity with architecting and developing advanced web applications.
  • Strong problem-solving skills and the ability to thrive in ambiguous, rapidly changing conditions.
  • Excellent communication skills and a passion for continuous learning and knowledge sharing.

Benefits

  • We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

Company info

  • Publish and open source their cutting-edge AI research.
  • Work on one of the fastest AI supercomputers in the world.
  • Enjoy job stability with startup vitality.
  • Our simple, non-corporate work culture that respects individual beliefs.
  • Apply today and become part of the forefront of groundbreaking advancements in AI!

Equal opportunity

  • Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer.

This listing is sourced directly from Cerebras Systems's careers page and normalized into a canonical job model.