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8 days ago
Requirements and responsibilities
About QuilterAt 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.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:Focus on the missionBuild great things that help humansDemonstrate gritNever stop learningPursue excellenceWe'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.The RoleThe 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.This is a fully distributed team. We expect high autonomy and high ownership.What Youʼll DoOwn problems end-to-end from exploratory R&D through production-hardened, maintainable systemsDevelop and extend GPU-accelerated code in PyTorch and CUDA C++Work across a broad modeling landscape including RL, graph neural networks, black-box/classical optimization, and generative modelingFormulate objectives, model constraints, and debug numerical behavior in the stackContribute to technical direction and research strategy alongside senior teammatesWhat Weʼre Looking For5+ years of industry experience in ML, optimization, or a related fieldStrong fundamentals in machine learning and optimizationProduction PyTorch experienceDemonstrated ability to work across research and production codebasesComfort operating with high autonomy in ambiguous problem spacesStrong communication and collaboration skillsPreferred5–7 years of industry experience (Staff-level appointment may be considered)CUDA C++ experienceBackground in any combination of: reinforcement learning, geometric deep learning, graph neural networks, multi-objective optimization, combinatorial optimizationPlease note: 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.What we offer:Interesting and challenging workCompetitive salary and equity benefitsHealth, dental, and vision insuranceRegular team events and offsites (~4x / year)Unlimited paid time offPaid parental leaveWant to learn more about Quilter, our vision, and our investors? Visit our About page and visit our Blog.
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