Lead ASIC Architect for Breakthrough AI Accelerator

Cerebras Systems, Inc.; Sunnyvale (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Commitment to diversity and inclusion

Non-corporate work culture

Job stability with startup vitality

Job summary

Cerebras Systems, Inc. in Sunnyvale, California is seeking an experienced individual to translate high-level architecture specifications into micro-architecture feature requirements. The successful candidate will have at least a Masters or PhD in Electrical or Computer Engineering, along with 10+ years of relevant experience in performance analysis.

This role offers the chance to work on groundbreaking AI technology with a focus on high-speed inference and performance modeling at a company that values an inclusive work environment.

Qualifications

• 10+ years of experience in performance analysis and modeling across GPUs, CPUs, or accelerator products.
• Strong background in computer architecture and architectural trade-offs.
• Good understanding of high-level workloads mapping to micro-architecture.

Responsibilities

• Translate high level architecture spec to micro-architecture feature requirements.
• Perform comprehensive PPA trade-offs for new architectural features.
• Engage with SW teams for application-level modeling at the cluster level.

Skills

Performance analysis

Computer architecture

Python or similar analytical environments

Micro-code performance optimization

Machine learning workload profiling

Education

Masters/PhD in Electrical/Computer Engineering

Job description

Cerebras Systems, Inc. in Sunnyvale, California is seeking an experienced individual to translate high-level architecture specifications into micro-architecture feature requirements. The successful candidate will have at least a Masters or PhD in Electrical or Computer Engineering, along with 10+ years of relevant experience in performance analysis.

This role offers the chance to work on groundbreaking AI technology with a focus on high-speed inference and performance modeling at a company that values an inclusive work environment.