Next-Gen AI Performance Engineer — Optimize Breakthrough Hardware

Cerebras; Sunnyvale (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Cerebras Systems is hiring for a role focused on characterizing, analyzing, and optimizing the performance of state-of-the-art AI models running on Cerebras’ breakthrough hardware. You will work across the hardware and software stack to identify bottlenecks, improve efficiency, and influence the design of future AI architecture and software systems.

This position involves bringing up new Cerebras WSE generations, building end-to-end performance models, and debugging kernel code to boost

Qualifications

• Bachelors / Masters / PhD in Electrical Engineering or Computer Science. Strong background in computer architecture.
• Exposure to and understanding of low-level deep learning / LLM math.
• Strong analytical and problem-solving mindset.
• 3+ years of experience in a relevant domain (Computer Architecture, CPU/GPU Performance, Kernel Optimization, HPC).
• Experience working on CPU/GPU simulators.
• Exposure to performance profiling and debugging on any system pipeline.
• Comfort with C++ and Python.

Responsibilities

• Bring up and optimize performance on new generations of the Cerebras WSE.
• Build performance models (kernel-level, end-to-end) to estimate the performance of state-of-the-art and customer ML models.
• Optimize and debug kernel micro code and compiler algorithms to elevate ML model inference speed, throughput, and compute utilization on the Cerebras WSE.
• Debug and understand runtime performance on the system and cluster.
• Develop tools and infrastructure to visualize performance data collected from the Wafer Scale Engine and our compute cluster.

Skills

Computer architecture

C++

Python

Performance profiling

Deep learning/LLM math

Analytical mindset

CPU/GPU performance

Kernel optimization

HPC

Experience with simulators

Education

Bachelor's/Master's/PhD in Electrical Engineering or Computer Science

Tools

CPU/GPU simulators

Job description

Cerebras Systems is hiring for a role focused on characterizing, analyzing, and optimizing the performance of state-of-the-art AI models running on Cerebras’ breakthrough hardware. You will work across the hardware and software stack to identify bottlenecks, improve efficiency, and influence the design of future AI architecture and software systems.

This position involves bringing up new Cerebras WSE generations, building end-to-end performance models, and debugging kernel code to boost