Senior Platform Engineer

ARM Institute; Pittsburgh (Allegheny County); Hybrid; USD 90,000 - 130,000; Full time

Job summary

A national public-private partnership is seeking a Senior Platform Engineer to manage data, machine learning, and deployment infrastructure for robotics R&D. Candidates should have a strong background in DevOps, MLOps, and platform engineering, with proficiency in Docker and automation tools like Ansible. This hybrid role allows for flexibility with 3 days in the office and 2 days remote, based in Pittsburgh, Pennsylvania. Join a collaborative team dedicated to advancing robotics in U.S. manufacturing.

Qualifications

• Minimum of 5 years of experience in DevOps, MLOps, platform engineering, or data engineering.
• Hands-on experience with Ansible or similar automation tools.
• Experience managing cloud and on-premises compute and storage.

Responsibilities

• Build and maintain data pipelines, storage, and ingestion workflows for robotics datasets.
• Develop and operate an end-to-end MLOps platform.
• Collaborate with robotics engineers, data scientists, and industry partners.

Skills

DevOps

MLOps

Platform Engineering

Data Engineering

Docker

Linux debugging

Ansible

Monitoring and observability tools

Education

Bachelor’s degree in computer science, engineering, or a related technical field

Tools

Docker

GitHub Actions

MLflow

ClearML

Weights & Biases (W&B)

Grafana

Prometheus

OpenTelemetry (OTel)

Job description

Join to apply for the Senior Platform Engineer role at ARM Institute

Company overview
The ARM (Advanced Robotics for Manufacturing) Institute is a national public-private partnership dedicated to accelerating the adoption of robotics and artificial intelligence (AI) in U.S. manufacturing to strengthen national competitiveness and security. Based in Pittsburgh, Pennsylvania, the ARM Institute is one of the Manufacturing USA Institutes and is sponsored by the Department of Defense (DoD).

Position
We’re a small, collaborative team seeking a Senior Platform Engineer to own and operate the data, machine learning, and deployment infrastructure that powers next-generation robotics R&D. Our platform connects robotics and AI research with American manufacturers, enabling real-world adoption and impact. In this role, you’ll build and maintain open-source tooling for data pipelines, model development, automated deployment, and scalable compute, while supporting manufacturers as they adopt and integrate the platform. We’re looking for someone who is adaptable, curious, and comfortable working across a broad and evolving platform. Through this work, you’ll help strengthen the American manufacturing base by enabling small- and medium-sized manufacturers to adopt robotics and AI. This is a hybrid role with 3 days in office, 2 days remote, in our Pittsburgh office.

Key Responsibilities

• Build and maintain data pipelines, storage, and ingestion workflows for robotics datasets.
• Develop and operate an end-to-end MLOps platform (experiment tracking, model registry, packaging, training/eval automation, deployment).
• Own CI/CD and automation using GitHub Actions, Ansible, and containerized dev environments.
• Help maintain a library of curated Docker containers and base images following industry best practices for security and performance.
• Implement telemetry/monitoring stacks for remote debugging and system health.
• Collaborate with robotics engineers, data scientists, and industry partners to integrate and transfer platform components.

Experience and Education

Required Qualifications

• Bachelor’s degree in computer science, engineering, or a related technical field.
• Minimum of 5 years of experience in DevOps, MLOps, platform engineering, or data engineering.
• Strong experience with Docker and dev containers, GitHub Actions, and Linux debugging.
• Hands‑on experience with Ansible or similar automation tools.
• Experience using MLflow, ClearML, Weights & Biases (W&B), or comparable MLOps frameworks.
• Familiarity with monitoring and observability tools such as Grafana, Prometheus, OpenTelemetry (OTel), or similar stacks.
• Experience managing cloud and on-premises compute and storage and building reliable distributed services.
• Comfortable performing light physical activity and using standard office equipment.
• Willingness and ability to travel up to 20%.

Preferred Qualifications

• Master’s degree in a relevant field.
• Experience with robotics or industrial automation.
• Contributions to open‑source projects.