NVIDIA · 2 days ago
Senior High-Performance LLM Training Engineer
NVIDIA is seeking experienced engineers specializing in performance analysis and optimization to improve the efficiency of LLM training workloads. This position focuses on optimizing NVIDIA’s high-performance LLM software stack for high-performance training on thousands of GPUs, while also helping shape hardware roadmaps for the next generation of GPUs powering the AI revolution.
Responsibilities
Understand, analyze, profile, and optimize AI training workloads on innovative hardware and software platforms
Understand the big picture of training performance on GPUs, prioritizing and then solving problems across all state-of-the-art neural networks
Implement production-quality software in multiple layers of NVIDIA's deep learning platform stack, from drivers to DL frameworks
Build and support NVIDIA submissions to the MLPerf Training benchmark suite
Implement key DL training workloads in NVIDIA's proprietary processor and system simulators to enable future architecture studies
Build tools to automate workload analysis, workload optimization, and other critical workflows
Qualification
Required
PhD in Computer Science, Electrical Engineering or Computer Engineering and 5+ years; or MS (or equivalent experience) and 8+ years of meaningful work experience
Strong background in deep learning and neural networks, in particular training
A deep background in computer architecture and familiarity with the fundamentals of GPU architecture
Proven experience analyzing and tuning application performance & processor and system-level performance modelling
Programming skills in C++, Python, and CUDA
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
H1B Sponsorship
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2025 (1877)
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Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
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