Staff ML Systems 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 or Staff ML Systems Engineer to join Quilter's Placer Team and build the infrastructure that moves research from prototype to production reliably and efficiently.</p> <h3><strong>The Role</strong></h3> <p>The Placer is responsible for automated component placement on PCBs. This role focuses on the systems and infrastructure that support the full ML lifecycle: training pipelines, data generation and cleaning, experiment management, orchestration, serving, A/B testing, and CI/CD.</p> <p>You'll be building the infrastructure that moves research from prototype to production reliably and efficiently. You'll also play a key role in systems design review and long-range architectural planning as the team scales.</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>Design, build, and maintain ML infrastructure across training, evaluation, serving, and monitoring</p> </li> <li> <p>Own data pipelines including generation, cleaning, validation, and versioning</p> </li> <li> <p>Build and improve experiment tracking, orchestration, and reproducibility tooling</p> </li> <li> <p>Implement and maintain CI/CD pipelines and A/B testing infrastructure</p> </li> <li> <p>Lead and formalize design review processes across the team</p> </li> <li> <p>Identify architectural risks early and guide the team toward sustainable systems decisions</p> </li> </ul> <h3><strong>What Weʼre Looking For</strong></h3> <ul> <li> <p>7+ years of industry experience building and operating ML systems in production</p> </li> <li> <p>Proven track record as a key player in the success of a production-grade ML system end-to-end</p> </li> <li> <p>Deep familiarity with training pipelines, serving infrastructure, and experiment management</p> </li> <li> <p>Strong software engineering fundamentals and systems design sensibility</p> </li> <li> <p>Experience driving design reviews and improving engineering processes within a team</p> </li> <li> <p>Comfort operating with high autonomy in ambiguous problem spaces</p> </li> <li> <p>Experience with GPU-accelerated workloads and orchestration</p> </li> <li> <p>Strong communication and collaboration skills</p> </li> </ul> <h3><strong>Preferred</strong></h3> <ul> <li> <p>7+ years of industry experience</p> </li> <li> <p>Familiarity with ML workflows involving optimization, RL, or combinatorial problems</p> </li> <li> <p>Experience building infrastructure for small, research-heavy teams</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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