AI Inference Performance Engineer

Cerebras Systems, Inc.

Sunnyvale (CA)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

Cerebras Systems, Inc. is seeking engineers for its Inference Core Platform group in Sunnyvale, California. This role involves building foundational software and hardware infrastructure to enhance AI inference performance on the Cerebras Wafer-Scale Engine.

Ideal candidates will have a strong programming background, particularly in Python and C++, and experience in developing automated systems. Join us to redefine AI applications and make a lasting impact.

Qualifications

  • Bachelor’s or Master’s degree in Computer Engineering, Systems Engineering, or a related field.
  • Proficiency in Python and/or C++ programming.
  • Proven experience in building and scaling automated infrastructure.
  • Strong background in throughput and performance optimization techniques, especially in complex, large-scale systems.
  • Excellent problem-solving skills and a strong analytical mindset.
  • Demonstrated ability to dive deep into new domains.
  • Ability to work in a fast-paced, ambiguous, and collaborative environment.

Responsibilities

  • Design and implement end-to-end telemetry systems across the software stack.
  • Architect, build, and scale automation for performance data.
  • Analyze system behavior and deliver actionable insights.
  • Partner closely with Core Platform teams for rigorous testing methodologies.

Skills

Proficiency in Python
Proficiency in C++
Building automated infrastructure
Performance optimization techniques
Problem-solving skills
Analytical mindset
Ability to dive deep into new domains
Collaborative environment skills

Education

Bachelor’s or Master’s in Computer Engineering or related field

Job description

Cerebras Systems, Inc. is seeking engineers for its Inference Core Platform group in Sunnyvale, California. This role involves building foundational software and hardware infrastructure to enhance AI inference performance on the Cerebras Wafer-Scale Engine.

Ideal candidates will have a strong programming background, particularly in Python and C++, and experience in developing automated systems. Join us to redefine AI applications and make a lasting impact.

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