AI Silicon Physical Design Engineer

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.

Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.

Role

Join our close-knit physical design team where you'll excel in synthesizing, placing, and routing high speed designs. Experience the full spectrum of physical design and implementation, collaborating closely with the RTL team and integrating these blocks seamlessly into the full-chip architecture.

Skills & Qualifications

• 10+ years of physical design & physical verification experience.
• Strong knowledge of block level and full-chip physical verification methodology.
• Expert at optimizing for the best power/performance and area
• Experience with the complete physical design flow. Knowledge of Synopsys tool suite is a plus.
• Expert with ICV or Calibre tools resolving block and full-chip DRC and LVS issues.
• Expert with IR/EM analysis and resolution
• Good understanding of full chip floor planning and integration.
• Strong ability in scripting languages like Tcl and Python. Ability to make flow enhancements.
• Demonstrated ability to work with RTL teams to optimize for physical design
• Knowledge of CPU/GPU design a plus
• Skills in Design Compiler, Fusion Compiler, ICC2 or similar physical design tools
• BS or MS in Electrical Engineering

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, weve reached an inflectionpoint in our business. Members of our team tell us there are five main reasons they joined Cerebras: