Senior Software Engineer - Developer Tools for Deep Learning

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<div><p><span><span>Are you passionate about blazing the unbounded field of deep learning and building </span><span>the</span><span> best</span><span> </span><span>software </span><span>tools</span><span> </span><span>for </span><span>developers</span><span>?</span></span><span><span> </span></span><span><span>We are looking for a</span><span>n </span><span>outstanding</span><span> </span><span>software</span><span> </span><span>engineer</span><span> to join the </span></span><span><span>Developer Tools organization </span><span>at</span><span> NVIDIA that aims <span style="overflow-wrap: break-word; display: inline; text-decoration: inherit; hyphens: auto;">at delivering the </span></span><span>best</span><span>-in-class</span><span> tool</span><span> to</span><span> enable </span><span>streamlined </span><span>design and optimization of</span><span> high-perform</span><span>ance </span><span>deep neural network models</span><span> in a unified environment</span><span>.</span><span> </span></span>Come join the team and see how you can make a lasting impact on the world!</p></div><div><p><span> </span></p></div><div><p><b><span>What You Will Be Doing:</span></b></p></div><div><ul><li><p><span><span>Enhance tool support to improve deep neural network design and performance efficiency.</span></span><span> </span></p></li><li><p><span><span>Partner with management and architects to translate requirements into designs and own the development.</span></span><span> </span></p></li><li><p><span><span>Stay up to date with the latest research and become a domain expert</span><span> in deep learning</span><span>.</span></span><span> </span></p></li></ul></div><div><p></p><p><b><span>What We Need </span><span>to</span><span> See:</span></b></p></div><div><ul><li><p><span><span>Master’s</span><span> </span><span>degree in computer science</span><span>, </span><span>m</span><span>ath</span><span>ematics</span><span>, </span><span>or related </span><span>engineering </span><span>field</span><span>s</span><span> (</span></span><span><span>or equivalent experience</span></span><span><span>)</span><span>.</span></span><span> </span></p></li><li><p><span><span>At least </span><span>5</span><span> years of relevant technical work experience.</span></span><span> </span></p></li><li><p><span><span>Excellent </span><span>foundational </span><span>knowledge </span><span>of </span><span>deep</span><span> </span><span>l</span><span>earning</span><span> and</span><span> </span><span>hands-on experience working</span><span> with</span><span> </span><span>SOTA </span><span>computer vision and</span><span> </span><span>large </span><span>language models</span><span>.</span></span><span> </span></p></li><li><p><span><span>Working experience with DL frameworks such as PyTorch</span><span>, </span><span>Tensorflow</span><span>, or JAX.</span></span><span> </span></p></li><li><p><span><span>Strong programming skills in Python or</span><span> C++.</span></span><span> </span></p></li><li><p><span><span>Excellent communication and interpersonal skills. Self-motivated and</span><span> </span><span>ability to work </span><span>effectively</span><span> with geographically distributed and multi-functional teams</span><span>.</span></span><span> </span></p></li></ul></div><div><p></p><p><b><span>Ways to </span><span>S</span><span>tand </span><span>O</span><span>ut</span><span> from the Crowd:</span></b></p></div><div><ul><li><p><span><span>In-depth knowledge of </span><span>PyTorch</span><span> and ONNX. </span><span>Familiar with NVIDIA DL software stack</span><span>s</span><span> (</span><span>TensorRT</span><span>,</span><span> etc.)</span><span>.</span></span><span> </span></p></li><li><p><span><span>Hands-on experience with </span><span>developing </span><span>real-world deep learning applications</span><span>, from training to deployment</span><span>.</span></span><span> </span></p></li><li><p><span><span>Experience and/or interests in building</span><span> </span><span>software</span><span> tools </span><span>for designing and optimizing deep neural network models</span><span>.</span></span><span> </span></p></li></ul></div><div><p></p><p><span><span>NVIDIA is widely regarded as one of the most innovative technology companies in the industry, and we have some of the most forward-thinking and versatile people in the world. Are you creative and autonomous? Do you love </span><span>challenges</span><span> and make a difference? If so, we want to hear from you.</span></span><span> </span></p></div><p style="text-align:inherit"></p><p style="text-align:inherit"></p>Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.<div><div><div><div><div><div><div><p></p><p><span>You will also be eligible for equity and <a href="https://www.nvidia.com/en-us/benefits/" target="_blank" rel="noopener noreferrer">benefits</a>.</span></p><p></p></div></div></div></div></div></div></div>Applications for this job will be accepted at least until June 9, 2026.<p></p><p>This posting is for an existing vacancy. </p><p>NVIDIA uses AI tools in its recruiting processes.</p><p></p>NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.<p style="text-align:inherit"></p><p style="text-align:inherit"></p>

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