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Full-Time

ML Integration and Ops Engineer

Confirmed live in the last 24 hours

Cerebras

Cerebras

201-500 employees

Develops AI acceleration hardware and software

Data & Analytics
Hardware
AI & Machine Learning

Entry, Junior, Mid

Toronto, ON, Canada + 2 more

Category
Supply Chain Management
Operations & Logistics
Required Skills
Python
Communications
Requirements
  • Master's degree in computer science or EE with 0-6 years of industry experience
  • Experience in product validation for compute/machine learning/networking/storage systems within a large-scale enterprise environment
  • Experience debugging issues in large distributed systems environment
  • Strong automation and programming skills using one or more programming languages like python, C++ or go
  • Strong knowledge of software system design
  • Knowledge of ML workflows and frameworks like Tensorflow or PyTorch
Responsibilities
  • Drive technical projects involving multiple teams, various software and hardware components coming together to make large scale LLM model training simple and easy to use
  • Bring good integration methodology, effective communication and strong debugging skills
  • Break down complex tasks into smaller tasks. Be a problem solver.
  • Automation of workflows, testbed setups and building tools to monitor/debug
  • Implement creative ways to break Cerebras software and identify potential problems
  • Contribute to developing SW specifications with a focus on ML products

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 AI computations by eliminating the need for complex parallel programming and cluster management. Serving clients in various industries, including pharmaceuticals and government research, Cerebras enables faster AI training and lower latency in AI inference. The company's goal is to streamline and enhance AI tasks, ultimately reducing costs in AI research and development.

Company Stage

Series F

Total Funding

$720M

Headquarters

Sunnyvale, California

Founded

2016

Growth & Insights
Headcount

6 month growth

4%

1 year growth

11%

2 year growth

-10%
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.