Platform Engineer

* Must be eligible for Top Security Clearance

We are seeking a Platform Engineer to lead the operation and reliability of our GPU-based bare-metal Kubernetes infrastructure. In this role, you will own CI/CD systems, maintain high-availability compute environments, and support deployments across both lab and field operations.

• Deploy, manage, and scale bare-metal Kubernetes clusters supporting NVIDIA GPUs, with hybrid cloud bursting to AWS for elastic compute and storage workloads.
• Operate and optimize NVIDIA GPU infrastructure for machine learning training and inference workloads.
• Own the end-to-end CI/CD lifecycle, including build automation, artifact management, signing, version pinning, and repeatable deployments across cloud and edge environments.
• Design and maintain observability systems, including centralized logging, metrics collection, dashboards, and alerting to ensure real-time visibility into infrastructure and application health.
• Partner with robotics, computer vision, and software engineering teams to develop streamlined developer tooling and improve engineering velocity for the our platform.
• Implement and maintain infrastructure-as-code standards using tools such as Terraform, Helm, and Ansible across on-premises and cloud deployments.
• Manage networking, storage, cluster security, and system hardening for production-grade bare-metal environments in accordance with applicable defense and security requirements.

• Strong Python and Bash scripting skills.
• 5+ years of experience in Platform Engineering, Dev Ops, Site Reliability Engineering, or Infrastructure Engineering roles supporting production Kubernetes environments.
• Deep expertise administering bare-metal Kubernetes clusters, including cluster lifecycle management, CNI networking, storage backends, node operations, and upgrades.
• Hands‑on experience with NVIDIA GPU infrastructure, including CUDA, Kubernetes GPU scheduling, NVIDIA device plugins, and ML orchestration platforms such as Kubeflow.
• Strong experience building and maintaining CI/CD systems using tools such as Git Lab CI, Git Hub Actions, Jenkins, or similar platforms.
• Experience with observability and monitoring stacks for distributed Linux systems, including centralized logging, metrics, and alerting platforms (e.g., ELK/Open Search, Prometheus, Grafana).
• Experience building and maintaining Linux-based C++ and Python tool chains using CMake, including cross‑compilation for ARM-based platforms such as NVIDIA Jetson.
• Strong Linux systems administration experience (Debian/Ubuntu preferred), including networking, storage management, kernel tuning, and security hardening in production environments.