Full-Time

Platform Software Engineer

Cerebras AI Cloud

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

Senior

Toronto, ON, Canada + 1 more

More locations: Sunnyvale, CA, USA

Category
Backend Engineering
Software Engineering
Requirements
  • 5+ years as an individual contributor developing production-grade cloud services.
  • Experience building ML serving and/or training services, preferably for modern generative AI models.
  • Experience building high-reliability, production-grade cloud services.
  • Familiarity with the latest AI model architectures and efficient implementation of serving systems for these models.
  • Strong problem-solving skills and the ability to thrive in ambiguous, rapidly changing conditions.
  • Excellent communication skills and a passion for continuous learning and knowledge sharing.
Responsibilities
  • optimizing deployment for minimal latency and efficient load balancing
  • ensuring high reliability, scalability, security, and observability of our distributed training and inference infrastructure
  • defining and documenting production requirements
  • implementing scaling strategies
  • ensuring robust API server management and high availability
  • developing tools to map out system bottlenecks and sources of instability
  • designing and building solutions to address system bottlenecks and sources of instability.

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). The CS-2 system simplifies AI computations by eliminating the need for complex parallel programming and cluster management, making the process more efficient. This system is utilized by a variety of clients, including major pharmaceutical companies and government research labs, to achieve faster results in critical applications like drug response prediction. Cerebras differentiates itself from competitors by offering the largest processor in the industry, which allows for quicker AI training and lower latency in AI inference. The company's goal is to streamline AI research and development, ultimately reducing costs and accelerating time to results for its clients.

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

4%
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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