Applied Scientist

The role

You will drive applied research toward breakthroughs in PCB design. You will architect, implement, and test high-performance libraries in Python, C++, Mojo, and TypeScript.

What you will do

• Drive applied research toward the next breakthrough in PCB design.
• Architect, implement and test high-performance libraries in Python, C++, Mojo, TypeScript, etc.
• Mentor engineers, give technical reviews and help raise the team's engineering practices.

Required qualifications

• 3 to 10+ years of industry experience maintaining and extending large, high-performance codebases in collaborative environments.
• Strong academic background in applied mathematics.
• Deep expertise in one or more of: optimization, machine learning, computational geometry, graph theory, high-performance computing (HPC), meshing, numerical methods, physics simulation, or a related f
• Proficiency in Python for prototyping and for integrating with ML systems.
• Strong leadership skills: ownership, hiring and mentoring, sound decision-making and clear communication.

Nice to have

• An advanced degree (M.Sc. or Ph.D.) in computer science, computational physics, robotics or a related field.
• Expertise in GPU optimization and parallel or distributed algorithms.
• Experience with reinforcement learning, CAD/EDA tools or physics-based optimization.
• Contributions to open-source geometry, simulation or HPC projects.
• Knowledge of physics engines, finite element methods (FEM) or distributed computing.

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

About the company

Quilter helps electrical engineers save time by automating the task of designing printed circuit boards (PCBs). The team is composed of experts in electrical engineering, electromagnetic simulation, ML/AI, and high-performance computing (HPC).