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

AI & Machine Learning
Financial Services
Healthcare

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 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

8%

1 year growth

16%

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.

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