Senior ML Engineer — Remote PCB Placement & AI

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

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.