Internship

ML Developer – Software Automation & Developer Infrastructure Intern

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
C/C++
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 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, distributed training, and cluster management, making AI tasks more efficient. Clients from various sectors, including pharmaceuticals, government research labs, healthcare, finance, and energy, utilize the CS-2 to achieve faster results in critical applications like cancer drug response prediction. 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 research and development, enabling clients to reduce costs and improve the speed of AI training and inference.

Company Stage

Series F

Total Funding

$700.4M

Headquarters

Sunnyvale, California

Founded

2016

Growth & Insights
Headcount

6 month growth

6%

1 year growth

16%

2 year growth

-1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Collaboration with Dell expands Cerebras' reach in enterprise generative AI projects.
  • The WSE-3 processor attracts clients seeking cutting-edge AI technology.
  • Cerebras' IPO filing suggests potential for increased capital for R&D and expansion.

What critics are saying

  • Reliance on high-profile clients like GlaxoSmithKline poses a risk if they switch.
  • Competition with Nvidia may lead to aggressive pricing and reduced profit margins.
  • Dependency on Dell's distribution channels could influence Cerebras' product positioning.

What makes Cerebras unique

  • Cerebras' WSE-3 chip has 1.4 trillion transistors, surpassing competitors in AI hardware.
  • The CS-2 system replaces traditional GPU clusters, simplifying AI computations significantly.
  • Cerebras' AI inference service offers unmatched performance and cost efficiency in the market.

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