Senior High-Performance LLM Training Engineer
Nvidia
At a glance
AI generatedJoin NVIDIA as a High-Performance LLM Training Engineer and contribute to optimizing the efficiency of large language model training workloads on thousands of GPUs using frameworks like PyTorch and JAX. Your day-to-day will involve analyzing, profiling, and tuning AI training performance across various neural networks, implementing production-quality software in NVIDIA’s deep learning platform stack from drivers to DL frameworks, and supporting submissions to MLPerf Training benchmarks. You’ll also develop tools for automated workload analysis and optimization. Ideal candidates have an MS in Computer Science or related field, extensive experience with deep learning and GPU architecture, and proficiency in C++, Python, and CUDA. This role plays a crucial part in shaping the future of AI by enhancing hardware roadmaps and enabling groundbreaking advancements in computing systems.
Skills
What you'll do
What we're looking for
Market check
This $124,000–$195,500 range sits above 31% of similar postings on FindRole.
Peer median band
$152,000–$235,850
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$154,986–$235,750
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has 802 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 798 roles with salary data.
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