<div>Cerebras Systems builds the worlds 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.</div>About The Role  Join our close-knit physical design team where youll 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 &amp; Qualifications  <ul> <li>10+ years of physical design &amp; physical verification experience. </li> <li>Strong knowledge of block level and full-chip physical verification methodology. </li> <li>Strong experience in block/subsystem timing closure.</li> <li>Expert at optimizing for the best power/performance and area.</li> <li>Experience with the complete physical design flow. Knowledge of Synopsys tool suite is a plus. </li> <li>Expert with ICV or Calibre tools resolving block and full-chip DRC and LVS issues. </li> <li>Expert with IR/EM analysis and resolution.</li> <li>Good understanding of full chip floor planning and integration.   </li> <li>Strong ability in scripting languages like Tcl and Python. Ability to make flow enhancements. </li> <li>Demonstrated ability to work with RTL teams to optimize for physical design. </li> <li>Knowledge of CPU/GPU design a plus. </li> <li>Skills in Design Compiler, Fusion Compiler, ICC2 or similar physical design tools. </li> <li>BS or MS in Electrical Engineering. </li> </ul> The salary range for this position is $150,000 – $250,000 annually. Actual compensation will be determined based on factors such as experience, skills, qualifications, and location.<div><h4>Why Join Cerebras</h4> 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: <ol> <li>Build a breakthrough AI platform beyond the constraints of the GPU.</li> <li>Publish and open source their cutting-edge AI research.</li> <li>Work on one of the fastest AI supercomputers in the world.</li> <li>Enjoy job stability with startup vitality.</li> <li>Our simple, non-corporate work culture that respects individual beliefs.</li> </ol> Read our blog: <a href="https://www.cerebras.net/blog/5-reasons-to-join-cerebras" target="_blank">Five Reasons to Join Cerebras in 2025.</a> <h4>Apply today and become part of the forefront of groundbreaking advancements in AI!</h4> <hr /> 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. <hr /> This website or its third-party tools process personal data. For more details, click <a href="https://www.cerebras.net/privacy/" target="_blank">here</a> to review our CCPA disclosure notice.</div>

CerebrasSystems

AI Silicon Physical Design Engineer

CerebrasSystems