6 months ago
Remote, United StatesSenior / Staff+
Base Salary
$180k - $200k/yr
Responsibilities
- 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 reinforcement learning, graph neural networks, black-box and 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.
Requirements
- At least 4 years of industry experience in machine learning, optimization, or a related field.
- Strong fundamentals in machine learning and optimization.
- Production experience with PyTorch.
- Ability to work across research and production codebases.
- Comfort operating with high autonomy in ambiguous problem spaces.
- Strong communication and collaboration skills.
- Preferred: 5–7 years of industry experience, with Staff-level appointment potentially available.
- Preferred: CUDA C++ experience.
- Preferred background in reinforcement learning, geometric deep learning, graph neural networks, multi-objective optimization, or combinatorial optimization.
Benefits
- Fully distributed work arrangement.
- Health, dental, and vision insurance.
- Regular team events and offsites approximately four times per year.
- Unlimited paid time off.
- Paid parental leave.
- Competitive salary and equity benefits.
Tech Stack
Categories
About Quilter
Quilter builds AI-powered software that automates printed circuit board (PCB) layout from circuit schematics into fab-ready designs for electronics and hardware engineering teams. It sells enterprise software that lets engineers generate and validate multiple board variants quickly, integrating physics checks to reduce redesigns. Founded in 2019 and headquartered in Los Angeles, the company is privately held.