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Cerebras Systems

Sr. Technical Staff at Cerebras Systems

Sunnyvale, CAFull-timeSoftwarePosted about 1 month ago
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About the Role

<div class="content-intro"><p><span data-contrast="none">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.&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559737&quot;:240,&quot;335559738&quot;:240,&quot;335559739&quot;:240,&quot;335559740&quot;:279}">&nbsp;</span></p> <p>Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups.&nbsp;<a href="https://openai.com/index/cerebras-partnership/">OpenAI recently announced a multi-year partnership with Cerebras</a>, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.&nbsp;</p> <p>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.</p></div><p><strong>&nbsp;</strong>Cerebras Systems Inc. has multiple openings for Sr. Technical Staff.</p> <p><strong>Title:</strong> Sr. Technical Staff</p> <p><strong>Job Duties:</strong></p> <ul> <li>Post silicon validation of Cerebras Wafer Scale Engines. Test and debug issues on new silicon.&nbsp;</li> <li>Test, analyze, and characterize high-speed serial interfaces to verify compliance with hardware specifications, record performance data, and recommend design modifications to optimize functionality.</li> <li>Work with the silicon and operations team to test, bring-up and run burn-in on wafers scale systems.</li> <li>Support manufacturing operations to utilize the wafer bring up flow. Perform wafer bring-ups, diagnose and debug problems encountered.</li> <li>Develop and implement hardware to ensure compliance with design specifications.</li> <li>Collaborate with hardware design engineers and system software engineers to review specifications and to recommend changes that will improve the quality and verifiability of the hardware designs.</li> <li>Create and maintain automated regression test scripts, using Python and/or bash, that ensure that all tests are run and pass after each change to the design, testbench, tests, or reference model.</li> <li>Work with system team members to diagnose system related failures. Understand the key system interfaces to FPGA’s, power and cooling, and apply that knowledge to the debug of silicon features.</li> <li>Development of debug tools in Python to program and analyze the behavior of the Wafer Scale Engine.</li> <li>Development of wafer bring up flow utilizing Python and shell scripts to capture the steps required to bring up a wafer in a logical easy to use flow.</li> <li>Documentation of issues found, tools and flow.</li> </ul> <p><strong>Minimum Requirements:</strong></p> <p>Master’s degree or foreign equivalent degree in Electrical Engineering, Computer Engineering, or a related field and 3 years of experience as Application Engineer, Sr. Technical Staff, Hardware Engineer, or a related occupation required.</p> <p>Required Skills:</p> <ul> <li>Electrical Signal Integrity Analysis;</li> <li>Hardware Bring-up &amp; Debug;</li> <li>Functional and Electrical characterization;</li> <li>Test automation using scripting language; and</li> <li>High Speed Interfaces &amp; Protocols including Ethernet, CPRI, or Interlaken.</li> </ul> <p><strong>Additional Information:</strong></p> <p>Employer’s name: Cerebras Systems Inc.&nbsp;</p> <p>Job site : 1237 E Arques Avenue, Sunnyvale, CA 94085</p> <p>Telecommuting permitted.</p> <p>Salary Range: $250,000.00 per year to $275,000.00 per year</p> <p>If you are interested in applying for this position, please apply online on this web page or mail resume to HR at Cerebras Systems Inc., 1237 E Arques Avenue, Sunnyvale, CA 94085. Please reference Job # 145 on resume or cover letter.</p><div class="content-conclusion"><h4><strong>Why Join Cerebras</strong></h4> <p>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&nbsp; point in our business. Members of our team tell us there are five main reasons they joined Cerebras:</p> <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> <p>Read our blog:&nbsp;<a href="https://www.cerebras.net/blog/5-reasons-to-join-cerebras" target="_blank" data-auth="NotApplicable" data-linkindex="0">Five Reasons to Join Cerebras in 2026.</a></p> <h4>Apply today and become part of the forefront of groundbreaking advancements in AI!</h4> <hr> <p><em>Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer.&nbsp;</em><em>We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. </em><em>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.</em></p> <hr> <p><em>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.</em></p></div>

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