Cerebras

1 week ago

CoDesign & NextGen Performance Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Characterize, analyze, and optimize the performance of state-of-the-art AI models running on Cerebras’ Wafer Scale Engine hardware. Work across the hardware/software stack to find bottlenecks, improve computational efficiency, and influence Cerebras’ next-generation AI architecture and software systems. Bring up new WSE generations, build kernel-level and end-to-end performance models, optimize kernel micro code and compiler algorithms, and develop tools to visualize performance data across the system and cluster.

Location: Sunnyvale, Toronto, Ontario, California

Workplace: Onsite

Employment Type: Full time

Job Function: Design (Product/UX/UI/Visual)

Seniority: Mid level

Key Responsibilities

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

Key Requirements

•Bachelors, Masters, or PhD in Electrical Engineering or Computer Science, with strong background in computer architecture.
•Exposure to low-level deep learning/LLM math.
•3+ years of experience in areas like computer architecture, CPU/GPU performance, kernel optimization, or HPC.
•Experience building performance models, working with kernel-level and end-to-end performance estimation.
•Comfort with C++ and Python, including experience with CPU/GPU simulators and performance profiling/debug.

Experience:3+ years

Education:High School in Electrical Engineering or Computer Science

Skills:AnalyticalProblem-solvingDebuggingPerformance optimization

Tech Stack:C++PythonCPU/GPULLMHPC

Company Brief

Cerebras

Designs and builds wafer-scale AI accelerators and systems for large-scale deep learning workloads, delivering specialized hardware and software to accelerate model training and inference for enterprises and research institutions.

Industry: Hardware Devices

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Sunnyvale, United States

Founded: 2016

Website LinkedIn

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Cerebras

1 week ago

CoDesign & NextGen Performance Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Sunnyvale, Toronto, Ontario, California

Workplace: Onsite

Employment Type: Full time

Job Function: Design (Product/UX/UI/Visual)

Seniority: Mid level

Key Responsibilities

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

Key Requirements

•Bachelors, Masters, or PhD in Electrical Engineering or Computer Science, with strong background in computer architecture.
•Exposure to low-level deep learning/LLM math.
•3+ years of experience in areas like computer architecture, CPU/GPU performance, kernel optimization, or HPC.
•Experience building performance models, working with kernel-level and end-to-end performance estimation.
•Comfort with C++ and Python, including experience with CPU/GPU simulators and performance profiling/debug.

Experience:3+ years

Education:High School in Electrical Engineering or Computer Science

Skills:AnalyticalProblem-solvingDebuggingPerformance optimization

Tech Stack:C++PythonCPU/GPULLMHPC

Company Brief

Cerebras

Industry: Hardware Devices

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Sunnyvale, United States

Founded: 2016

Website LinkedIn