Cerebras Systems
Tech / AI / Software
PhysicalDesignEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Physical Design Engineer at Cerebras Systems. Skills: physical design, timing closure, physical verification, DRC, LVS, IR analysis, floor-planning, scripting. perform a variety of physical design tasks such as synthesis, place and route, timing and block closure / sign off. involved in all aspects of physical design and implementation”
Industry & Context.
Expert at optimizing for the best power/performance and area; Expert with ICV or Calibre tools resolving block and full-chip DRC and LVS issues; Expert with IR analysis and resolution
What They're Looking For.
Must Have
7+ years of physical design/verification experience, experience in block/subsystem timing closure, 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, Expert with ICV or Calibre tools resolving block and full-chip DRC and LVS issues, Expert with IR analysis and resolution, Good understanding of full chip floor-planning and integration, 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
Nice to Have
Knowledge of Synopsys tool suite is a plus, Ability to take on a leadership role after ramping up on wafer scale design
What You'll Do.
perform a variety of physical design tasks such as synthesis
timing and block closure / sign off
involved in all aspects of physical design and implementation
work closely with the RTL team and with full-chip integration of these blocks
How You'll Work.
Team & Collaboration
work closely with the RTL team; work with full-chip integration of these blocks; Demonstrated ability to work with RTL teams to optimize for physical design
Full Job Description
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 top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, 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. About The Role As our team grows Cerebras is looking for a world class physical design engineer. We are looking for a strong learner who can learn how we do PD and integration of our wafer scale design. As a member of our tight knit physical design team, you will perform a variety of physical design tasks such as synthesis, place and route, timing and block closure / sign off. You will be involved in all aspects of physical design and implementation. You will work closely with the RTL team and with full-chip integration of these blocks. Skills and Qualifications 7+ years of physical design/verification experience. Strong experience in block/subsystem timing closure. Strong ability to learn and grow with the team. Strong knowledge of block level and full-chip physical verification methodology. Expert at optimizing for the best power/performance and are
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