Senior ASIC Architect for Wafer-Scale AI Systems

Cerebras; Sunnyvale (CA); On-site; USD 160,000 - 200,000; Full time

Benefits offered by this job

Equal opportunity employer

Inclusive team environment

Opportunity for continuous learning

Job summary

Cerebras is looking for a senior role focused on performance analysis for AI architecture in Sunnyvale, California. As part of Cerebras, you'll work on the world’s largest AI chip, contributing to groundbreaking advancements in AI technology. Responsibilities include translating high-level specs into micro-architectural requirements and engaging with software teams.

Applicants should hold a Masters or PhD in Electrical/Computer Engineering and have over 10 years of experience with performance analysis in computing environments. Join us and be part of a diverse team dedicated to pioneering AI solutions.

Qualifications

• 10+ years of experience across performance analysis and modeling across GPUs, CPUs or accelerator products.
• Strong background in computer architecture and key high level architectural trade-offs.
• Understanding of basic ML workload profiling techniques and model network architecture is preferred.

Responsibilities

• Translate high level architecture spec to micro‑architecture feature requirements.
• Bring up new features in the performance/power model.
• Profile workloads, identify bottlenecks and project competition performance for benchmarking.

Skills

Performance analysis

Modeling

Computer architecture

Python

Micro-code performance optimization

ML workload profiling

Education

Masters/PhD in Electrical/Computer Engineering

Job description

Cerebras is looking for a senior role focused on performance analysis for AI architecture in Sunnyvale, California. As part of Cerebras, you'll work on the world’s largest AI chip, contributing to groundbreaking advancements in AI technology. Responsibilities include translating high-level specs into micro-architectural requirements and engaging with software teams.

Applicants should hold a Masters or PhD in Electrical/Computer Engineering and have over 10 years of experience with performance analysis in computing environments. Join us and be part of a diverse team dedicated to pioneering AI solutions.