Senior ML Engineer

<h3>About <a href="https://jobicy.com/company/quilter" target="_blank" rel="nofollow noopener">Quilter</a></h3> <p>At Quilter, we are helping electrical engineers save time and accomplish more by automating the tedious and time-consuming task of designing printed circuit boards (PCBs). Our small team is composed of experts in electrical engineering, electromagnetic simulation, ML/AI, and high-performance computing (HPC). We are inventing and leveraging novel techniques to solve the decades-old problem of automating circuit board design where today hundreds of billions of dollars are spent. We have raised $25 million in Series B funding from some of the very best and are charging full-speed toward our goal.</p> <p>No matter where we come from, we're united by a common vision for the future and a core set of values we think will get us there:</p> <ol> <li> <p>Focus on the mission</p> </li> <li> <p>Build great things that help humans</p> </li> <li> <p>Demonstrate grit</p> </li> <li> <p>Never stop learning</p> </li> <li> <p>Pursue excellence</p> </li> </ol> <p>We're looking for a Senior ML Engineer to join Quilter's Placer Team and help us build the AI that automates component placement on PCBs.</p> <h3><strong>The Role</strong></h3> <p>The Placer is responsible for automated component placement on PCBs. This role spans the full lifecycle: research, prototyping, productionization, and maintenance. You'll work across optimization, machine learning, and geometric deep learning on a hard, real-world combinatorial problem.</p> <p>This is a fully distributed team. We expect high autonomy and high ownership.</p> <h3><strong>What Youʼll Do</strong></h3> <ul> <li> <p>Own problems end-to-end from exploratory R&amp;D through production-hardened, maintainable systems</p> </li> <li> <p>Develop and extend GPU-accelerated code in PyTorch and CUDA C++</p> </li> <li> <p>Work across a broad modeling landscape including RL, graph neural networks, black-box/classical optimization, and generative modeling</p> </li> <li> <p>Formulate objectives, model constraints, and debug numerical behavior in the stack</p> </li> <li> <p>Contribute to technical direction and research strategy alongside senior teammates</p> </li> </ul> <h3><strong>What Weʼre Looking For</strong></h3> <ul> <li> <p>5+ years of industry experience in ML, optimization, or a related field</p> </li> <li> <p>Strong fundamentals in machine learning and optimization</p> </li> <li> <p>Production PyTorch experience</p> </li> <li> <p>Demonstrated ability to work across research and production codebases</p> </li> <li> <p>Comfort operating with high autonomy in ambiguous problem spaces</p> </li> <li> <p>Strong communication and collaboration skills</p> </li> </ul> <h3><strong>Preferred</strong></h3> <ul> <li> <p>5–7 years of industry experience (Staff-level appointment may be considered)</p> </li> <li> <p>CUDA C++ experience</p> </li> <li> <p>Background in any combination of: reinforcement learning, geometric deep learning, graph neural networks, multi-objective optimization, combinatorial optimization</p> </li> </ul> <p><strong>Please note</strong>: We are an equal opportunity employer. At this time, we are focused on hiring primarily within the US, with occasional exception to accommodate exceptional talent.</p> <h3>What we offer:</h3> <ul> <li> <p>Interesting and challenging work</p> </li> <li> <p>Competitive salary and equity benefits</p> </li> <li> <p>Health, dental, and vision insurance</p> </li> <li> <p>Regular team events and offsites (~4x / year)</p> </li> <li> <p>Unlimited paid time off</p> </li> <li> <p>Paid parental leave </p> </li> </ul> <p>Want to learn more about Quilter, our vision, and our investors? Visit our <a href="http://quilter.ai/about" target="_blank" rel="nofollow noopener">About</a> page and visit our <a href="https://quilter.ai/blog" target="_blank" rel="nofollow noopener">Blog</a>.</p>

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