ML Cloud Platform Engineer – Robotics Fleet

ATOMS Careers page; Pittsburgh (Allegheny County); On-site; USD 140,000 - 175,000; Full time

Benefits offered by this job

Medical insurance

Life & disability insurance

Voluntary insurance

401(k)

HSA

FSAs

Vacation days

Holidays

Job summary

Lab37 Robotics in Pittsburgh, PA is seeking a platform engineer to own the cloud infrastructure that powers our robotics fleet. You will design and build scalable ML infrastructure, ETL pipelines, and CI/CD processes to transform raw telemetry into actionable analytics.

You’ll collaborate with a small, high‑impact team serving data scientists, kitchen operations dashboards, and field deployments. The role offers a base salary range of $140,000–$174,500, with potential equity and a performance

Qualifications

• 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.
• 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.
• Monitoring & Cost: Track model drift, system throughput, and optimize cloud compute costs.

Skills

Cloud infra

MLOps

Data engineering

Argo Workflows

Airflow

Kubeflow

Tools

MLflow

Kubeflow

Terraform

Argo Workflows

Airflow

Prefect

Job description

Lab37 Robotics in Pittsburgh, PA is seeking a platform engineer to own the cloud infrastructure that powers our robotics fleet. You will design and build scalable ML infrastructure, ETL pipelines, and CI/CD processes to transform raw telemetry into actionable analytics.

You’ll collaborate with a small, high‑impact team serving data scientists, kitchen operations dashboards, and field deployments. The role offers a base salary range of $140,000–$174,500, with potential equity and a performance