Senior ML Engineer
About Quilter =============
At 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:
- Curiosity
- Conviction
- Rigor
We'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 Role ------------
The 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 teammates
What 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 skills
Preferred -------------
- 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 optimization
Please 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 leave
Want to learn more about Quilter, our vision, and our investors? Visit our About page and visit our Blog.
About Quilter
Quilter operates a mission-fueled team of experts in AI and electronics.