Quilter
Design your next PCB design in hours, not weeks, with Quilter's generative AI for electronics.
Senior MLOps Engineer
Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 1-10H1B No SponsorCompany SiteLinkedIn
Location
United States
Posted
174 days ago
Salary
Not specified
EnglishAWSAzureCloudDockerGoogle Cloud PlatformKubernetesNode.jsTerraform
Job Description
• 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
• Join Quilter’s ML Team as an early engineer with ownership and influence over product, architecture, and team culture
• Bridge software and hardware development to support automated PCB design
Job 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
- Strong communication and collaboration skills for working with cross-functional teams
- 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)
- Primarily hiring within the US (occasional exceptions for exceptional talent)
Benefits
- 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
