Senior ML Engineer - PCB Placement & GPU Optimization

Quilter; Poland; Remote; PLN 371,195 - 482,553; Full time

Benefits offered by this job

Competitive salary and equity benefits

Health, dental, and vision insurance

Unlimited paid time off

Paid parental leave

Regular team events and offsites

Job summary

A leading technology firm is seeking a Senior ML Engineer to join their Placer Team. The role involves end-to-end ownership of component placement automation on printed circuit boards using machine learning and optimization techniques. Candidates should have over 4 years of experience, strong fundamentals in ML, and expertise in PyTorch and CUDA C++. The position supports high autonomy and requires collaboration within a fully distributed team. Competitive salary and various benefits are offered.

Qualifications

• 4+ 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.

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 a broad modeling landscape including RL, graph neural networks.
• Contribute to technical direction and research strategy alongside senior teammates.

Skills

Machine learning

Optimization

Communication skills

Collaboration skills

Tools

PyTorch

CUDA C++

Job description

A leading technology firm is seeking a Senior ML Engineer to join their Placer Team. The role involves end-to-end ownership of component placement automation on printed circuit boards using machine learning and optimization techniques. Candidates should have over 4 years of experience, strong fundamentals in ML, and expertise in PyTorch and CUDA C++. The position supports high autonomy and requires collaboration within a fully distributed team. Competitive salary and various benefits are offered.