Job description
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 $10 million in series-A 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 Ops 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 Do
Build and maintain ML training and inference infrastructure
Implement automated model deployment and monitoring systems
Optimize model serving for low-latency PCB layout generation
Scale training infrastructure for large geometric datasets
Ensure reliability and performance of production ML systems
What Weʼre Looking For
Strong experience with ML pipeline orchestration (Kubeflow, MLflow, or similar platforms)
Expertise in ML production systems (model serving, versioning, monitoring, CI/CD for ML)
Experience with distributed training (multi-GPU, multi-node) and hardware acceleration (CUDA, TensorRT, or similar)
Familiarity with cloud platforms (AWS, GCP, or Azure) for compute, storage, and ML services
Strong communication and collaboration skills for working with cross-functional teams
Nice to Have
Kubernetes familiarity (production deployments, scaling, monitoring)
Knowledge of infrastructure as code (Terraform, Helm, or similar)
Experience with containerization (Docker, container optimization for ML workloads)
Solid software engineering and DevOps background (containers, CI/CD pipelines, infrastructure automation)
Background in monitoring and observability for ML systems (model performance tracking, drift detection)
Cloud platform experience (AWS, GCP, or Azure ML services and compute)
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.
