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Internship

ML Developer – Software Automation & Developer Infrastructure Intern

PEY 2025

Confirmed live in the last 24 hours

Cerebras

Cerebras

201-500 employees

Develops AI acceleration hardware and software

Financial Services
Healthcare
AI & Machine Learning

Toronto, ON, Canada

Category
DevOps & Infrastructure
DevOps Engineering
Required Skills
Python
Requirements
  • Enrolled within University of Toronto's PEY program with a degree in Computer Science, Computer Engineering, or any other related discipline
  • Experience in developing automated tests for compute/machine learning or networking systems within a large-scale enterprise environment
  • Ability to take responsibility for monitoring product development and usage at all levels with an end goal toward improving product quality
  • Strong knowledge of software system design, C++ and Python
Responsibilities
  • Write scripts to automate testing and create tools to allow easy development of software regression tests
  • Help identify weak spots and potential customer pain points and drive the software organization towards customer focused quality metrics
  • Implement creative ways to break software and identify potential problems
  • Contribute to developing requirements specifications with a focus on developing verification tests

Cerebras Systems focuses on accelerating artificial intelligence (AI) with its CS-2 system, the fastest AI accelerator on the market. This system replaces traditional GPU clusters, simplifying the process of AI computations for clients in various industries, including pharmaceuticals and government research. By providing proprietary hardware and software solutions, Cerebras enables faster AI training and lower latency, which helps reduce costs in AI research and development. The company's goal is to make AI tasks more efficient and accessible across different sectors.

Company Stage

Series F

Total Funding

$720M

Headquarters

Sunnyvale, California

Founded

2016

Growth & Insights
Headcount

6 month growth

11%

1 year growth

19%

2 year growth

-3%
Simplify Jobs

Simplify's Take

What believers are saying

  • Cerebras' IPO and significant funding, including $720 million raised, position it for substantial growth and market penetration.
  • Collaborations with industry giants and government labs, such as GlaxoSmithKline, AstraZeneca, and Argonne National Lab, validate the effectiveness and demand for Cerebras' technology.
  • The CS-2 system's ability to produce faster results in critical applications like cancer drug response prediction models highlights its transformative potential in healthcare and scientific research.

What critics are saying

  • Competing against established giants like Nvidia poses significant market challenges and could impact Cerebras' market share.
  • The high cost and complexity of developing and maintaining cutting-edge hardware like the WSE-3 chip could strain resources and affect profitability.

What makes Cerebras unique

  • Cerebras' CS-2 system replaces traditional GPU clusters, eliminating complexities in parallel programming and distributed training.
  • The WSE-3 chip, with 40 trillion transistors, is designed to train AI models 10 times larger than current top models like GPT-4, setting a new industry standard.
  • Strategic partnerships with major entities like Dell and Aleph Alpha enhance Cerebras' reach and influence in the AI and high-performance computing markets.