Senior SRE Engineering Leader - AI Research Clusters

October 7

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NVIDIA

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GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming

10,000+

Description

• Lead globally distributed GPU clusters for AI research • Manage cluster operational excellence and efficiency • Deliver scalable distributed systems and AI services • Build strong distributed teams and drive technical strategy • Collaborate to improve the GPU ecosystem for AI use cases • Solve reliability, efficiency, and productivity challenges for GPU infrastructure • Define strategy, manage projects, and drive technical leadership

Requirements

• 10+ overall years in engineering management; 3+ in leadership roles • Bachelor’s or Master’s in Computer Science or a related field, or equivalent experience • Experience supporting AI/ML workloads and driving operational standard methodologies • Strong Unix/Linux knowledge and proficiency in at least two programming languages (Perl, Python, Go) • Expertise in managing large-scale distributed systems and AI/HPC environments • Leadership experience, mentoring, and coaching skills • Ability to quickly learn and integrate new technologies • Strong collaboration skills across engineering, server, storage, and security teams

Benefits

• Highly competitive salaries • Comprehensive benefits package • Eligible for equity