Internship

Devops Engineer – Internship

Confirmed live in the last 24 hours

Cerebras

Cerebras

201-500 employees

Develops AI acceleration hardware and software

Data & Analytics
Enterprise Software
AI & Machine Learning

Toronto, ON, Canada

Category
DevOps & Infrastructure
DevOps Engineering
Required Skills
Python
AWS
Development Operations (DevOps)
Requirements
  • Enrolled in the University of Toronto's PEY program with a degree in Computer Science, Computer Engineering, or other related disciplines.
  • Experience in software development environments.
  • Experience building tools, libraries and automation framework for internal customers.
  • Experience building services on top of AWS or other cloud platforms at scale.
  • Proficient in Python, shell scripting, Makefiles.
  • Strong end-to-end triage, debug, and troubleshooting skills.
Responsibilities
  • Develop and maintain the infrastructure required to build, test, operate, simulate, and evaluate the Cerebras software stack.
  • Design efficient, scalable workflows for automating processes in the cloud and in our datacenter.
  • Work closely with the development teams to monitor the quality and performance of the software test that runs on the Wafer Scale Engine (WSE).
Desired Qualifications
  • Experience developing fixtures, hooks, and plugins in pytest framework is desired.
  • Experience with Jenkins and other CI/CD platforms and regressions is desired.
  • Expertise with GitHub Actions and GitHub webhooks is desired.
  • UI experience highly desirable.
  • Familiar with Docker, Kubernetes and container technology in general.

Cerebras Systems specializes in accelerating artificial intelligence (AI) processes with its CS-2 system, which is designed to replace traditional clusters of graphics processing units (GPUs) used in AI computations. The CS-2 system simplifies the complexities of parallel programming and cluster management, making AI tasks more efficient. It serves a variety of clients, including major pharmaceutical companies and government research labs, by providing faster results essential for critical applications like cancer drug response predictions. Cerebras generates revenue by selling its proprietary hardware and software solutions, including the CS-2 systems and associated cloud services. The company's goal is to streamline AI training and inference, reduce latency, and lower the costs associated with AI research and development.

Company Stage

Series F

Total Funding

$700.4M

Headquarters

Sunnyvale, California

Founded

2016

Growth & Insights
Headcount

6 month growth

0%

1 year growth

-5%

2 year growth

-10%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing AI model efficiency demand aligns with Cerebras' energy-efficient accelerators.
  • AI democratization increases need for user-friendly systems like Cerebras' CS-2.
  • Pharmaceutical industry's push for faster drug discovery boosts demand for Cerebras' technology.

What critics are saying

  • Competition from NVIDIA and Graphcore could impact Cerebras' market share.
  • Rapid AI model evolution may necessitate frequent hardware updates, increasing R&D costs.
  • Supply chain vulnerabilities could delay production of Cerebras' hardware.

What makes Cerebras unique

  • Cerebras' Wafer-Scale Engine is the largest chip ever built for AI.
  • The CS-2 system replaces traditional GPU clusters, simplifying AI computations.
  • Cerebras serves diverse industries, including pharmaceuticals and government research labs.

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Benefits

Professional Development Budget

Flexible Work Hours

Remote Work Options

401(k) Company Match

401(k) Retirement Plan

Mental Health Support

Wellness Program

Paid Sick Leave

Paid Holidays

Paid Vacation

Parental Leave

Family Planning Benefits

Fertility Treatment Support

Adoption Assistance

Childcare Support

Elder Care Support

Pet Insurance

Bereavement Leave

Employee Discounts

Company Social Events