HPC Infrastructure Engineer - GPU Clusters

📋 Description

• Operate and improve our GPU fleet end to end: provisioning, scheduling, monitoring, upgrades
• Build automation that keeps the fleet healthy without human intervention — node health checks
• Own the stack beneath the training code: OS images, NVIDIA drivers, CUDA, container runtimes, NCCL
• Run and tune job scheduling (Slurm or similar) so researchers get compute fairly and fast
• Build and maintain high-performance storage for datasets and checkpoints
• Hunt down performance problems: stragglers, degraded links, thermal issues, flaky GPUs — and fix

🎯 Requirements

• Have run large-scale Linux server or GPU environments in production and enjoy both building and
• Know the NVIDIA stack well — drivers, CUDA, NCCL, DCGM — or have deep systems experience and learn
• Are comfortable with bare-metal environments, server hardware, and high-speed networking
• Write solid automation in Python and/or Bash, with IaC tools like Ansible or Terraform
• Are happy digging into noisy data (metrics, logs, PromQL) to find what's actually wrong
• Like owning real scope end to end and being the person others rely on

🎁 Benefits

• Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI
• Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive
• Learning & development: ElevenLabs proactively supports professional development through an
• Social travel: We also provide an annual discretionary stipend to meet up with colleagues each
• Annual company offsite: Each year, we bring the entire team together in a new location - past
• Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.