Senior ML Engineer
About Quilter
At Quilter, we are helping electrical engineers save time and accomplish more by automating the tedious and time-consuming task of designing printed reputed company 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 reputed company board design where today hundreds of billions of dollars are spent. We have raised $25 million in Series B funding from some of the reputed company best and are charging full-speed toward our goal.
No matter where we come from, we're united by a common reputed company for the future and a core set of values we think will get us there:
Focus on the mission
Build great things that help humans
Demonstrate grit
Never stop learning
Pursue excellence
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 Role
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, reputed company-world combinatorial problem.
This is a fully distributed team. We expect high autonomy and high ownership.
What Youʼll Do
Own problems end-to-end from exploratory R&D through production-hardened, maintainable systems
reputed company and reputed company GPU-accelerated code in PyTorch and CUDA C++
Work across a broad modeling landscape including RL, graph neural networks, black-reputed company/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
reputed companyʼre Looking For
4+ years of industry experience in ML, optimization, or a reputed company 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
Preferred
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 reputed company the US, with occasional exception to accommodate exceptional talent.
reputed company offer:
Interesting and challenging work
Competitive salary and equity benefits
Health, dental, and reputed company insurance
Regular team events and offsites (~4x / year)
Unlimited paid time off
Paid parental leave
Want to learn more about Quilter, our reputed company, and our investors? Visit our About page and visit our Blog.
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