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Wafer-scale AI chips and systems, and a fast AI inference cloud.

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About Cerebras

The company, in brief.

What they do

Cerebras builds the Wafer Scale Engine (WSE), which it calls the world's largest AI chip. Its CS systems use this chip for AI training and inference (running a trained model). Customers build supercomputers on site or use its pay-as-you-go cloud. Founded in 2015, Cerebras is based in Sunnyvale, California, and trades on Nasdaq as CBRS.

What they value

  • Integrity, passion, curiosity, and a sense of humor.
  • The drive to solve the hard problems that matter.
  • Work hard, take risks, and think big.
  • Make a positive difference in the world.
  • A simple, non-corporate work culture that respects individual beliefs.
  • Publish and open source AI research.

Where they hire

Of 119 Postings, 89 name Sunnyvale and 30 name Toronto. Fourteen say the United States and Canada, and 13 name a remote location. Seven are in Bengaluru, India. Others name Finland, Norway, the UAE, Vancouver, and Alabama. Of all Postings, 72 are hybrid, and some ask for three office days a week. No Posting mentions visa sponsorship.

Teams and roles

Software engineering has 62 of the 119 Postings.

  • Inference: the inference cloud, its API, the platform, and GPU inference, with many test engineer (SDET) and release roles.
  • Inference core and kernels: runtime, kernel, and ML performance engineers who make models run fast on the WSE.
  • Cluster and developer productivity: cluster operations, cloud infrastructure, DevOps, and tools.
  • Hardware: chip design (RTL), design verification, physical design, systems, manufacturing, and quality.
  • IT and security: network, application, cloud, and AI security, and business systems.
  • Data centers: data center managers, construction, and provisioning in North America and Europe.

Finance, legal, product, and new graduate roles make up the rest. In India, the roles are in kernel software, ML performance, cloud quality, cluster testing, release qualification, cluster operations, and ML engineering.

What they look for

About 55 Postings ask for a degree in computer science, electrical engineering, or a related field. About 70 ask for Python, and about 30 ask for C++. About 70 ask for five or more years of experience. Many ask for strong debugging skills and for work on distributed systems. About 30 ask for Kubernetes, and many ask for good communication and teamwork. Most India Postings ask for C++ or Python, and for strong debugging skills. Nineteen Postings name PyTorch.

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