Senior ML Engineer

The role

The Senior ML Engineer will build AI to automate component placement on PCBs. The role spans research, prototyping, productionization, and maintenance using optimization, machine learning, and geometric deep learning.

What you will do

• 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

Required qualifications

• 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

Nice to have

• 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

Benefits

• 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

Before you apply

• focused on hiring primarily within the US, with occasional exception to accommodate exceptional talent

About the company

Quilter helps electrical engineers save time by automating the design of printed circuit boards (PCBs). The team uses expertise in electrical engineering, electromagnetic simulation, ML/AI, and high-performance computing to solve circuit board design problems.