Cerebras Systems is a maker of high-performance AI infrastructure and the Wafer-Scale Engine (WSE) family of AI processors.
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. 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 area. - Experience with block physical design, PDV and IR. - 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. - Ability to take on a leadership role after ramping up on wafer scale design. - Should demonstrate learn and be curious, good fundamental understanding of PD concepts and should be coachable. - BSEE, MSEE, PH.D EE preferred. Preferred: - Experience with the complete physical design flow. Knowledge of Synopsys tool suite is a plus. - Synthesis and STA would be good to have. 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.