Cloud Platform - Infrastructure Engineer
About The Position
Lab37 Robotics is seeking a Cloud Platform - Infrastructure Engineer to take ownership of the cloud platform infrastructure layer that powers Lab37's robotics fleet. This role involves building Cloud infrastructure, ML, ETL, and CI/CD pipelines to transform raw robot telemetry into actionable analytics. The engineer will manage data discovery, data lineage, contribute to model training pipelines on robots, and ensure the observability and reliability of the entire data stack. This position is part of a small, high-impact platform team responsible for building systems consumed by all product teams at Lab37, including data scientists, kitchen operations teams, and engineers deploying ML models to robots in the field.
Requirements
- 3+ years of experience in Cloud infrastructure, MLOps, and data engineering at scale.
- Hands-on experience designing systems for automated model checkpointing, model registries, and metadata management (e.g., MLflow, Kubeflow etc).
- Strong experience with Cloud workflow orchestration tools (Argo Workflows, Airflow, Prefect, or similar) and cloud storage architectures.
- Proven track record building self-service ML platforms, pipeline abstraction layers, or automated developer workflows.
- Experience with working with embedded engineers.
Responsibilities
- Design, build, and maintain scalable ML infrastructure that abstracts away underlying storage, pipeline management, and repetitive environment setup tasks.
- Implement robust systems for automated model checkpointing, persistent metadata management, and experiment tracking across distributed training runs.
- Create self-service ML workflows and tooling that empower ML engineers and data scientists to focus on core logic, model architecture, and validation.
- Build and maintain automated ETL and data ingestion pipelines that stream and transform raw robot telemetry into clean datasets for training and analytics.
- Contribute to infrastructure-as-code (Terraform) and CI/CD automation for model deployment, data processing, and cloud services.
- Partner with cloud and embedded engineers to streamline model deployment to fleets of robots in the field and participate in on-call rotations for platform reliability.
- Monitor model drift, system throughput, and optimize cloud compute costs.
Benefits
- Medical, dental, and vision insurance (multiple plans, incl. HSA options).
- Company-paid life and disability insurance (short- and long-term).
- Voluntary insurance: accident, critical illness, hospital indemnity.
- Optional supplemental life insurance for self, spouse, and children.
- Pet insurance discount.
- 401(k).
- Health Savings Account (HSA)
- Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
- Discretionary vacation days
- 8 paid holidays per year
- Paid sick time
- Paid Bereavement leave
- Paid Parental Leave
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
