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:
Focus on the mission
Build great things that help humans
Demonstrate grit
Never stop learning
Pursue excellence
We’re looking for a Senior ML Systems Engineer to join Quilter’s ML Team and help us build the software platform behind the future of circuit board design. We are a team of generalists who pride ourselves on solving new challenges and always learning. As one of our early engineers, you’ll have massive ownership and influence over the direction of our product, architecture, and team culture.
This role is ideal for someone who thrives in high-ownership environments, loves solving complex technical problems, and is excited by the idea of bridging the worlds of software and hardware development.
What Youʼll DoBuild and maintain ML CI/CD systems for model validation (accuracy, latency, I/O) and continuous delivery
Develop and operate high-performance inference servers for low-latency PCB layout generation
Build distributed data generation and model training frameworks to support large-scale geometric datasets
Create and maintain ML infrastructure for scaling training and inference across multi-node systems
Build tooling for A/B testing, controlled rollouts, and distribution drift detection
Enable fast, rigorous experimentation through reproducible workflows, automation, and evaluation tooling
Design and implement end-to-end training and inference pipelines, defining how data is created, prepared, consumed, and how model outputs are used
Work with the team on model architecture decisions and optimize for GPU utilization and training speed
Implement and optimize SL, SSL, and RL algorithms for geometric and PCB layout problems
Build automated re-training pipelines to address distribution drift in production
Strong experience with ML pipeline orchestration (Kubeflow, MLflow, or similar)
Expertise in ML production systems (model serving, versioning, monitoring, CI/CD for ML)
Experience with distributed training (multi-GPU, multi-node) using PyTorch
Familiarity with hardware acceleration (CUDA, TensorRT) and memory optimization techniques (gradient checkpointing, mixed precision)
Background in cluster management and job scheduling systems
Familiarity with cloud platforms (AWS, GCP, or Azure) for compute, storage, and ML services
Strong communication and collaboration skills
Kubernetes experience (production deployments, scaling, monitoring)
Infrastructure as code (Terraform, Helm)
Container optimization for ML workloads
Experience with model architectures for geometric data (transformers, CNNs, graph networks)
Profiling and debugging tools for ML workloads (NVIDIA Nsight, PyTorch profiler, Weights & Biases)
Experience with Reinforcement Learning, particularly combinatorial/constrained optimization problems
Model compression techniques (knowledge distillation, pruning)
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 (~2x / 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.
Top Skills
What We Do
At Quilter, we believe that the creativity and passion of hardware engineers for tackling real-world challenges should not bAt Quilter, we believe that the creativity and passion of hardware engineers for tackling real-world challenges should not be bogged down with the tedium of repeating solved problems.
We are building the next generation of tooling for electrical engineers which enables going from concept to physical design at the click of a button. Using physics-driven generative design we enable the reliable conversion of circuit schematics into PCB designs.
Quilter will do for electronics what the compiler did for softwaree bogged down with the tedium of repeating solved problems.
We are building the next generation of tooling for electrical engineers which enables going from concept to physical design at the click of a button. Using physics-driven generative design we enable the reliable conversion of circuit schematics into PCB designs.
Quilter will do for electronics what the compiler did for software
