Platform Engineer
Core
Design, build, and own the infrastructure powering the development of autonomous counter-drone systems, managing GPU clusters and CI/CD pipelines for lab and field environments.
Role type
Senior IC platform engineer (GPU/ML infrastructure)
Builds
Production Kubernetes clusters, CI/CD pipelines, and observability stacks for ML training and deployment
Domain
Defense robotics and computer vision
Deliverable
infrastructure
Required skills
Kubernetes administration, Python programming, Bash scripting, NVIDIA GPU infrastructure management, CI/CD pipeline design, Infrastructure as Code (Terraform/Helm/Ansible), Network configuration, Security hardening
Preferred skills
CUDA, KubeFlow, GitLab CI/GitHub Actions/Jenkins, Debian packaging
Technologies
Kubernetes, NVIDIA GPUs, AWS, Terraform, Helm, Ansible, Python, Bash, CUDA, KubeFlow
Responsibilities
Deploy and operate Kubernetes clusters on bare-metal infrastructure hosting 130+ NVIDIA GPUs; Manage NVIDIA GPU clusters for ML training; Own the full CI/CD pipeline from source to deployment; Build and maintain the observability stack; Define and enforce infrastructure-as-code practices; Manage network configuration, storage provisioning, and security hardening
Seniority
Senior, hands-on IC