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Job Application for Technical Program Manager, Compute Planning at DeepMind

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We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.</em></p> </td> </tr> <tr> <td> <p>Snapshot</p> </td> <td>&nbsp;</td> <td> <p>The role sits within Google DeepMind’s Compute Planning team.&nbsp; The team is responsible for building and managing Google DeepMind’s extensive Machine Learning (ML) Hardware portfolio.&nbsp;</p> </td> </tr> <tr> <td> <p>About Us</p> </td> <td>&nbsp;</td> <td> <p>Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.&nbsp;</p> <p>We constantly iterate on our workplace experience with the goal of ensuring it encourages a balanced life. From excellent office facilities through to extensive manager support, we strive to support our people and their needs as effectively as possible.</p> <p>Our list of benefits is extensive, and we’re happy to discuss this further throughout the interview process!</p> </td> </tr> <tr> <td> <p>The role</p> </td> <td>&nbsp;</td> <td> <p>As a Technical Program Manager in the Compute Planning team you will play a key role in the building and ongoing management of Google DeepMind’s extensive ML Hardware portfolio.</p> <p>You will work alongside our Product Managers, Engineers and Researchers to help define and optimise DeepMind's overall capabilities in this space.&nbsp;</p> <p><strong>Key Responsibilities</strong>.</p> <ul> <li>Creating and scaling processes for collecting data on future ML hardware requirements, including next-gen ML accelerators and cloud infrastructure.</li> <li>Partnering with portfolio managers and data analysts to allocate capacity across projects effectively and in line with company priorities.&nbsp;</li> <li>Providing best practices to researchers and engineers in areas such as resource availability, efficiency, scaling &amp; performance.&nbsp;&nbsp;</li> <li>Producing regular targeted communications to leadership, research and engineering teams</li> <li>Assisting with new ML hardware/software pilot programs.</li> <li>Developing and maintaining tooling (eg: dashboards, automation).</li> <li>Producing user guides, process documentation, and other forms of educational resources.</li> <li>Troubleshooting compute-related errors in various infrastructure platforms, in partnership with engineering teams.</li> </ul> </td> </tr> <tr> <td> <p>About you</p> </td> <td>&nbsp;</td> <td> <p><strong>In order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience:&nbsp;</strong></p> <ul> <li>Excellent technical understanding and communication ability, with the ability to distil sophisticated technical ideas to their essence</li> <li>Skilled at navigating, updating and defining complex processes</li> <li>Initiative to solve problems with solutions that are repeatable, scalable and sustainable.</li> <li>Proven strong stakeholder management skills</li> <li>Comfortable dealing with ambiguity and able to thrive in a dynamic environment.&nbsp;</li> <li>A curiosity about Google DeepMind's mission and AI / Machine Learning</li> <li>Flexible, adaptable and highly responsive to the needs of the project, team and wider group.</li> </ul> <p><strong>In addition, the following would be an advantage:&nbsp;</strong></p> <ul> <li>BS degree in Computer Science, Engineering, related fields or equivalent practical technical experience.</li> <li>Knowledge of data centre infrastructure and operations.</li> <li>Knowledge of cloud infrastructure&nbsp;</li> </ul> <p>If you don’t think you embody all of the above criteria, please still seriously consider applying! This role (and therefore the requirements) is broad, and we’d be excited to discuss how you see yourself contributing across it, in particular the opportunities to learn and grow on the job.</p> </td> </tr> <tr> <td>&nbsp;</td> <td>&nbsp;</td> <td> <p>The US base salary range for this full-time position is between $122,000 - $186,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.</p> <p><strong>Application deadline:</strong> 12pm GMT Friday 1st November 2024&nbsp;</p> <p>Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our<a href="https://careers.google.com/privacy-policy/"> Applicant and Candidate Privacy Policy</a>.</p> </td> </tr> <tr> <td>&nbsp;</td> <td>&nbsp;</td> <td>&nbsp;</td> </tr> </tbody> </table> <p>&nbsp;</p> </div> <div id='application' class=""> <a name='app'></a> <form id="application_form" enctype="multipart/form-data" action="https://boards.greenhouse.io/deepmind/jobs/6330004" accept-charset="UTF-8" method="post"><input name="utf8" type="hidden" value="&#x2713;" /> <input type="hidden" name="fingerprint" id="fingerprint" value="9f3529c3a173f95c63b56ddca3bbac0c15f99d83" /> <input type="hidden" name="render_date" id="render_date" value="2024-11-27 12:18:00 +0000" /> <input type="hidden" name="page_load_time" id="page_load_time" value="1732709880" /> <div id='main_fields'> <h2 class='heading'>Apply for this Job</h2> <div class='required-fields'> <span class='asterisk'>*</span> Required </div> <div class='clear'></div> <script type="text/configuration" data-email-address-validator-url="https://email-address-validator.us.greenhouse.io/address/validate"></script> <div class='field'> <label for='first_name'>First Name <span class='asterisk'>*</span></label> <input type='text' id='first_name' name='job_application[first_name]' aria-required="true" maxlength="255" autocomplete="given-name"/> </div> <div class='field'> <label for='last_name'>Last Name <span class='asterisk'>*</span></label> <input type='text' id='last_name' name='job_application[last_name]' aria-required="true" maxlength="255" autocomplete="family-name" /> </div> <div class='field'> <label for='email'>Email <span class='asterisk'>*</span></label> <input type='text' id='email' name='job_application[email]' aria-required="true" maxlength="255" autocomplete="email" /> </div> <div class='field'> <label for='phone'>Phone</label> <input type='text' id='phone' name='job_application[phone]' maxlength="255" autocomplete="tel" /> </div> <div id='dev-fields' aria-hidden="true"> <div class='field'> <label for='dev-field-1'></label> <input type='text' id='dev-field-1' name='dev_field_1' maxlength="255" autocomplete="off"/> </div> </div> <div class='field'> <fieldset id='resume_fieldset' aria-describedby="validate_resume"> <legend> <label aria-label="required" id="resume"> Resume/CV <span class='asterisk'>*</span> </label> </legend> <div class="attach-or-paste " required="required" data-allow-s3="true" data-field="resume" data-file-types="[&quot;pdf&quot;,&quot;doc&quot;,&quot;docx&quot;,&quot;txt&quot;,&quot;rtf&quot;]" data-model="job_application"> <div class="drop-zone hidden"> Drop files here </div> <div id="resume_chosen" class="chosen"> <img alt="resume chosen" src="https://boards.cdn.greenhouse.io/assets/file-296f4c2a42607d24e6901b7c58b0693d4178df7fe4edf1b50e9585efdfad7d39.png" />&nbsp;&nbsp; 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If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cp\u003eSnapshot\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd\u003e\u0026nbsp;\u003c/td\u003e\n\u003ctd\u003e\n\u003cp\u003eThe role sits within Google DeepMind’s Compute Planning team.\u0026nbsp; The team is responsible for building and managing Google DeepMind’s extensive Machine Learning (ML) Hardware portfolio.\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cp\u003eAbout Us\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd\u003e\u0026nbsp;\u003c/td\u003e\n\u003ctd\u003e\n\u003cp\u003eArtificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eWe constantly iterate on our workplace experience with the goal of ensuring it encourages a balanced life. From excellent office facilities through to extensive manager support, we strive to support our people and their needs as effectively as possible.\u003c/p\u003e\n\u003cp\u003eOur list of benefits is extensive, and we’re happy to discuss this further throughout the interview process!\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cp\u003eThe role\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd\u003e\u0026nbsp;\u003c/td\u003e\n\u003ctd\u003e\n\u003cp\u003eAs a Technical Program Manager in the Compute Planning team you will play a key role in the building and ongoing management of Google DeepMind’s extensive ML Hardware portfolio.\u003c/p\u003e\n\u003cp\u003eYou will work alongside our Product Managers, Engineers and Researchers to help define and optimise DeepMind's overall capabilities in this space.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eKey Responsibilities\u003c/strong\u003e.\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eCreating and scaling processes for collecting data on future ML hardware requirements, including next-gen ML accelerators and cloud infrastructure.\u003c/li\u003e\n\u003cli\u003ePartnering with portfolio managers and data analysts to allocate capacity across projects effectively and in line with company priorities.\u0026nbsp;\u003c/li\u003e\n\u003cli\u003eProviding best practices to researchers and engineers in areas such as resource availability, efficiency, scaling \u0026amp; performance.\u0026nbsp;\u0026nbsp;\u003c/li\u003e\n\u003cli\u003eProducing regular targeted communications to leadership, research and engineering teams\u003c/li\u003e\n\u003cli\u003eAssisting with new ML hardware/software pilot programs.\u003c/li\u003e\n\u003cli\u003eDeveloping and maintaining tooling (eg: dashboards, automation).\u003c/li\u003e\n\u003cli\u003eProducing user guides, process documentation, and other forms of educational resources.\u003c/li\u003e\n\u003cli\u003eTroubleshooting compute-related errors in various infrastructure platforms, in partnership with engineering teams.\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cp\u003eAbout you\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd\u003e\u0026nbsp;\u003c/td\u003e\n\u003ctd\u003e\n\u003cp\u003e\u003cstrong\u003eIn order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience:\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eExcellent technical understanding and communication ability, with the ability to distil sophisticated technical ideas to their essence\u003c/li\u003e\n\u003cli\u003eSkilled at navigating, updating and defining complex processes\u003c/li\u003e\n\u003cli\u003eInitiative to solve problems with solutions that are repeatable, scalable and sustainable.\u003c/li\u003e\n\u003cli\u003eProven strong stakeholder management skills\u003c/li\u003e\n\u003cli\u003eComfortable dealing with ambiguity and able to thrive in a dynamic environment.\u0026nbsp;\u003c/li\u003e\n\u003cli\u003eA curiosity about Google DeepMind's mission and AI / Machine Learning\u003c/li\u003e\n\u003cli\u003eFlexible, adaptable and highly responsive to the needs of the project, team and wider group.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003eIn addition, the following would be an advantage:\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eBS degree in Computer Science, Engineering, related fields or equivalent practical technical experience.\u003c/li\u003e\n\u003cli\u003eKnowledge of data centre infrastructure and operations.\u003c/li\u003e\n\u003cli\u003eKnowledge of cloud infrastructure\u0026nbsp;\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eIf you don’t think you embody all of the above criteria, please still seriously consider applying! This role (and therefore the requirements) is broad, and we’d be excited to discuss how you see yourself contributing across it, in particular the opportunities to learn and grow on the job.\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u0026nbsp;\u003c/td\u003e\n\u003ctd\u003e\u0026nbsp;\u003c/td\u003e\n\u003ctd\u003e\n\u003cp\u003eThe US base salary range for this full-time position is between $122,000 - $186,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eApplication deadline:\u003c/strong\u003e 12pm GMT Friday 1st November 2024\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eNote: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our\u003ca href=\"https://careers.google.com/privacy-policy/\"\u003e Applicant and Candidate Privacy Policy\u003c/a\u003e.\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u0026nbsp;\u003c/td\u003e\n\u003ctd\u003e\u0026nbsp;\u003c/td\u003e\n\u003ctd\u003e\u0026nbsp;\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e"} </script> <script type='text/javascript' src='https://www.dropbox.com/static/api/2/dropins.js' id='dropboxjs' data-app-key='mh9jyh4mfwjnfhj' async></script> <script class="js-metadata" data-key="googlePickerDeveloperKey" data-type="string" data-value="AIzaSyCratp6KuOmiXWfR3ABY8azVmw8XFnBl64" type="text/configuration"></script><script class="js-metadata" data-key="googlePickerClientId" data-type="string" data-value="594601915089-7c2994029qkt5qu2tmbppujr9jqrqqrs.apps.googleusercontent.com" type="text/configuration"></script><script class="js-metadata" data-key="googlePickerAppId" data-type="number" data-value="594601915089" type="text/configuration"></script> <script> function callDriveMethodWhenAvailable(method, retries) { retries = retries || 0; if (window[method]) { window[method](); } else if (retries < 10){ retries++; setTimeout(function() { callDriveMethodWhenAvailable(method, retries); }, retries * 1000); } } </script> <script src='https://apis.google.com/js/api.js' onload="callDriveMethodWhenAvailable('gapiLoaded')" async defer></script> <script src='https://accounts.google.com/gsi/client' onload="callDriveMethodWhenAvailable('gisLoaded')" async defer></script> </body> </html>

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