Senior AI and ML HPC Cluster Engineer

Job Description

Join NVIDIA as a technical leader in designing and implementing ground-breaking GPU compute clusters for deep learning, high performance computing, and computationally intensive workloads.

Requirements

• Bachelor’s degree in Computer Science, Electrical Engineering, or related field, or equivalent experience
• Minimum 5+ years of experience designing and operating large-scale compute infrastructure
• Proficient in administering Centos/RHEL and/or Ubuntu Linux distributions
• Solid understanding of cluster configuration management tools such as Ansible, Puppet, Salt
• Experience with AI/HPC advanced job schedulers like Slurm, K8s, PBS, RTDA, or LSF
• Proficiency in Python programming and bash scripting
• Experience with AI/HPC workflows using MPI
• Passion for continual learning and staying ahead of emerging technologies in HPC and AI/ML infrastructure fields

Responsibilities

• Provide leadership and strategic guidance on managing large-scale HPC systems
• Develop and improve GPU-accelerated computing ecosystem
• Build and maintain AI and ML heterogeneous clusters on-premises and in the cloud
• Create and cultivate customer and cross-team relationships for sustained clusters
• Support researchers with performance analysis and optimizations
• Conduct root cause analysis and suggest corrective actions

Benefits

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.