Senior Data Center Performance Engineer – Benchmarking, Optimization

Job not on LinkedIn

7 hours ago

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

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NVIDIA

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Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

📋 Description

• Design and execute comprehensive performance benchmarking strategies for our data center platforms and products • Characterize real-world AI training, inference, and HPC workloads at scale • Define, track, and report key performance indicators (throughput, latency, efficiency, scaling) • Build automation tools and frameworks for performance monitoring and analysis • Identify and analyze performance bottlenecks across compute, memory, network and storage subsystems • Work closely with architecture, hardware, software, networking, storage and customer teams to resolve performance issues • Drive performance improvements through system tuning, configuration optimization, and architectural recommendations for future generation systems

🎯 Requirements

• M.S. or Ph.D. in Computer Science, Electrical Engineering or related field (or equivalent experience). • 8+ years of experience in performance engineering or system architecture • Deep understanding of computer architecture, hardware-software interaction and computing at-scale • Strong proficiency in performance profiling tools (Linux perf, NVIDIA Nsight Systems) • Familiarity with GPU computing and parallel programming (CUDA) • Background with HPC networking technologies (InfiniBand, RoCE, NVLink) • Programming skills in Python, C++, and shell scripting. • Excellent analytical and problem-solving abilities • Adaptability and passion to learn new technologies • Ability to communicate effectively and work with cross-functional global teams.

🏖️ Benefits

• equity • benefits