ASIC Architect

Job details

Work model

On-site

Salary

Not listed by source

Location

Sunnyvale, CA

Hiring context

How this role compares at Cerebras

Cerebras has 112 live roles in MeritLog’s catalog across 8 job families, and 17 of them are in design. 18 of those listings publish a pay range, a disclosure rate of 16%.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Responsibilities - Translate high level architecture spec to micro-architecture feature requirements - Bring up new features in the performance/power model - Perform comprehensive PPA trade-offs for new architectural features - Extract insights for new features and micro-architecture power efficiency - Profile workloads, identify bottlenecks and project competition performance for benchmarking  - Engage with SW teams for end-end application level modeling at cluster level - Identify kernel level HW acceleration level opportunities Qualifications - Masters/PhD in Electrical/Computer Engineering  - 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 - Comfortable standing up new performance models from scratch in Python or similar analytical environments - Exposure to micro-code (kernel) performance bottlenecks and optimization techniques - Good understanding of how high-level workloads map to underlying micro-architecture is desired - Understanding of basic ML workload profiling techniques and model network architecture is preferred Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.