📋 Descripción
<p><strong><sub>Salary Range: PLN 196,400 - 265,700&nbsp;</sub></strong></p>
<p><strong><sup>Subject to alignment to the responsibilities&nbsp;and duties of the role</sup></strong></p>
<h2><strong>About Graphcore&nbsp;</strong></h2>
<p>At Graphcore, we’re building the future of AI compute.</p>
<p>We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.</p>
<p>As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.</p>
<p>To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.</p>
<p>We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.</p>
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<p><strong><span data-contrast="none">Job Summary</span></strong><strong><span data-contrast="none">&nbsp;</span></strong><span data-ccp-props="{}">&nbsp;</span></p>
<p><span data-contrast="none">As a&nbsp;</span><span data-contrast="auto">Software&nbsp;Engineer,</span><span data-contrast="none">&nbsp;</span><span data-contrast="none">you will be responsible for development of new and support existing kernels for linear algebra operations on a new generation of AI hardware.</span><span data-ccp-props="{}">&nbsp;</span></p>
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<p><strong><span data-contrast="auto">The Team</span></strong><span data-ccp-props="{}">&nbsp;</span></p>
<p><span data-contrast="none">This is an exciting opportunity to join an expanding team at Graphcore. The ML Kernels &amp; Runtime team is responsible for delivering high performance compute library to help customers gain the maximum performance from AI hardware.</span><span data-ccp-props="{}">&nbsp;</span></p>
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<p><strong><span data-contrast="auto">Responsibilities and Duties</span></strong><span data-ccp-props="{}">&nbsp;</span></p>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="22" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none"><span data-ccp-parastyle="Normal (Web)">Implement kernels for linear algebra and tensor ops (GEMM, batched GEMM, convolutions, reductions, elementwise and fused operations) in C++</span></span></li>
</ul>
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<li data-leveltext="" data-font="Symbol" data-listid="22" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbo