Quilter is looking to solve the decades-old problem of automating circuit board design, where hundreds of billions of dollars are spent, by inventing and leveraging novel techniques in ML/AI, electromagnetic simulation, and high-performance computing (HPC).
Requirements
- 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
- Kubernetes familiarity (production deployments, scaling, monitoring)
- Knowledge of infrastructure as code (Terraform, Helm, or similar)
- Experience with containerization (Docker, container optimization for ML workloads)
Responsibilities
- 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
Other
- Strong communication and collaboration skills for working with cross-functional teams
- Competitive salary and equity benefits
- Health, dental, and vision insurance
- Unlimited paid time off
- Paid parental leave
