
1 - 10 employees
🔧 Hardware
☁️ SaaS
🤖 Artificial Intelligence
Hardware • SaaS • Artificial Intelligence
Quilter is an innovative technology company offering an all-in-one PCB design tool tailored for hardware teams. This platform enables engineers to automate and optimize circuit board layouts, reducing design time from weeks to mere hours. Quilter's software is compatible with existing design tools like Altium and KiCAD, and it imports design constraints to optimize for EMI performance and manufacturing. Offering generative AI-driven design processes, Quilter provides numerous quality design candidates that are production-ready. The company's "Fab for Free" program and open beta version make it a cost-effective choice for electronics companies worldwide.
🕒 April 3
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1 - 10 employees
🔧 Hardware
☁️ SaaS
🤖 Artificial Intelligence
Hardware • SaaS • Artificial Intelligence
Quilter is an innovative technology company offering an all-in-one PCB design tool tailored for hardware teams. This platform enables engineers to automate and optimize circuit board layouts, reducing design time from weeks to mere hours. Quilter's software is compatible with existing design tools like Altium and KiCAD, and it imports design constraints to optimize for EMI performance and manufacturing. Offering generative AI-driven design processes, Quilter provides numerous quality design candidates that are production-ready. The company's "Fab for Free" program and open beta version make it a cost-effective choice for electronics companies worldwide.
• Own problems end-to-end from exploratory R&D through production-hardened, maintainable systems • Develop 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 modeling • Formulate objectives, model constraints, and debug numerical behavior in the stack • Contribute to technical direction and research strategy alongside senior teammates
• 4+ years of industry experience in ML, optimization, or a related field • Strong fundamentals in machine learning and optimization • Production PyTorch experience • Demonstrated ability to work across research and production codebases • Comfort operating with high autonomy in ambiguous problem spaces • Strong communication and collaboration skills • Preference: 5–7 years of industry experience, CUDA C++ experience, background in reinforcement learning, geometric deep learning, graph neural networks, multi-objective optimization, combinatorial optimization
• Competitive salary and equity benefits • Health, dental, and vision insurance • Regular team events and offsites (~4x / year) • Unlimited paid time off • Paid parental leave
Apply Now🕒 April 3
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