Senior Machine Learning Engineer
Quilter AI
Senior Machine Learning Engineer
Quilter AI
AI-driven PCB layout automation platform
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.
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:
Curiosity
Conviction
Rigor
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.
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.
This is a fully distributed team. We expect high autonomy and high ownership.
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
5+ 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
5–7 years of industry experience (Staff-level appointment may be considered)
CUDA C++ experience
Background in any combination of: reinforcement learning, geometric deep learning, graph neural networks, multi-objective optimization, combinatorial optimization
Please 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.
Interesting and challenging work
Competitive salary and equity benefits
Health, dental, and vision insurance
Regular team events and offsites (~4x / year)
Unlimited paid time off
Paid parental leave
Want to learn more about Quilter, our vision, and our investors? Visit our About page and visit our Blog.
AI-driven PCB layout automation platform
Quilter AI builds software that automates PCB design. It converts circuit schematics into manufacturable PCB layouts using a physics-driven engine and reinforcement learning, rather than relying on large language models. The platform runs high-performance simulations to honor real-world constraints and generates dozens of layout options, enabling engineers to skip manual placement and routing. This approach differs from typical EDA tools by treating PCB layout as a compilation task, optimized through physics-based design and ML, instead of hand-tuned heuristics. Quilter targets electronics companies, startups, and prototyping teams, offering an open beta with free testing and a future usage-based pricing model. Its goal is to shorten the design cycle from weeks to hours, reduce costs, and accelerate hardware iteration and adoption.
Explore more opportunities at Quilter AI