Senior AI Compute Engineer

What you'll do

• Deploy, manage, and validate AI Compute and HPC infrastructure in Linux-based environments.
• Serve as the primary domain expert for customers during planning and implementation calls.
• Create handover documentation and perform knowledge transfers to support customer system rollouts.
• Provide technical feedback to internal teams by opening bugs and documenting workarounds.
• Perform system administration including process management, kernel management, and network routing.
• Provision and manage clusters for bare-metal servers using technologies like BCM.
• Execute performance reporting, optimization, and logging for large-scale AI projects.
• Utilize benchmarking tools such as HPL, NCCL tests, and MLPerf to validate systems.

What we're looking for

• 8+ years of experience providing in-depth support and deployment services for hardware and software products.
• Knowledge of Linux system administration, including process management, kernel management, and network routing.
• Minimum of a four-year degree in Computer Science, Electrical Engineering, Computer Engineering, or equivalent experience.
• Proficiency in scripting languages such as Bash, Python, and Ansible.
• Experience with schedulers like SLURM, LSF, or UGE.
• Experience with benchmarking tools like HPL, NCCL tests, MLPerf, and Kubernetes.
• Ability to travel to customer sites within the United States up to 20% of the time.
• Experience with InfiniBand, GPU hardware/software, MPI, Lustre/GPFS, or OEM GPU platforms (preferred).