HPC Expert ClearML & Confidential Computing

Key Responsibilities:

- Administer ClearML Server, ClearML Agents, execution queues, projects, users, roles, experiment tracking, pipelines, datasets, artifacts, and model registry.

- Configure ClearML Agents on CPU and GPU worker nodes and integrate them with Slurm, PBS Professional, Kubernetes, or equivalent HPC execution platforms.

- Support GPU-based AI/ML workloads using NVIDIA drivers, CUDA, NCCL, UCX, and containerized environments.

- Maintain secure container execution using Apptainer/Singularity, Docker, Enroot, Pyxis, or Kubernetes.

- Implement confidential-computing controls using technologies such as AMD SEV-SNP, Intel TDX, NVIDIA Confidential Computing, Secure Boot, TPM, and remote attestation where supported.

- Integrate authentication, RBAC, TLS certificates, secrets management, and audit controls for ClearML and confidential workloads.

- Monitor ClearML services, agents, queues, GPU utilization, task failures, scheduler integration, and platform health.

- Automate deployment, configuration, monitoring, and troubleshooting using Python, Bash, Ansible, and Git.

Essential Skills:

- Strong Linux administration: RHEL, SLES, Rocky Linux, or Ubuntu.

- Hands-on ClearML administration or strong experience with a comparable MLOps platform.

- Experience with HPC schedulers: Slurm, PBS Professional, or LSF.

- GPU platform knowledge: NVIDIA drivers, CUDA, GPU monitoring, distributed training basics.

- Containers: Apptainer/Singularity, Docker, Enroot, Pyxis, or Kubernetes.

- Scripting and automation: Python, Bash, Ansible, Git.

- Security fundamentals: RBAC, IAM, TLS, certificates, secrets management, secure boot, and audit logging.

- Understanding of confidential-computing concepts: TEE, encrypted memory, TPM, remote attestation, AMD SEV-SNP, Intel TDX, or equivalent technologies.