Senior ML Engineer

Devconnectplatform; Northern (KY); Hybrid; USD 180,000 - 200,000; Full time

Benefits offered by this job

Equity benefits

Health insurance

Dental insurance

Vision insurance

Unlimited PTO

Paid parental leave

Job summary

Quilter is seeking a Senior ML Engineer to join our Placer Team and advance AI-driven PCB component placement. You will work end-to-end from research to production, building GPU-accelerated systems in PyTorch and CUDA C++.

This fully distributed role is US-focused, offering competitive salary, equity benefits, and health coverage. You will collaborate across ML, optimization, and HPC domains to solve a challenging combinatorial problem.

Qualifications

• 5+ years of industry experience in ML, optimization, or 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.

Responsibilities

• Own problems end-to-end from exploratory R&D through production-hardened systems.
• Develop and extend GPU-accelerated code in PyTorch and CUDA C++.
• Work across 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.

Skills

Machine learning

Optimization

PyTorch

CUDA C++

Reinforcement learning

Graph neural networks

Geometric deep learning

Multi-objective optimization

Combinatorial optimization

Tools

PyTorch

CUDA C++

Job description

# Senior ML EngineerQuilter180k–200k USDFull-timeremote· seniorUSApytorchListed via Jobicy · posted 24 Sept 2026. The application happens there, not on DevConnect.Apply on Jobicy## DescriptionAbout 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 mission-Build great things that help humans-Demonstrate grit-Never stop learning-Pursue 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 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 teammatesWhat Weʼre Looking For-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 skillsPreferred-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 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 work-Competitive salary and equity benefits-Health, dental, and vision insurance-Regular team events and offsites (~4x / year)-Unlimited paid time off-Paid parental leaveWant to learn more about Quilter, our vision, and our investors? Visit our About page and visit our Blog.