HPC Expert ClearML amp Confidential Computing

Job Title: 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.