This role pays more than
98%
of similar roles. Most pay
$180,500–$246,150
— the shaded band above.
At the midpoint, this role pays about
$352k
versus about
$213k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
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
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
As a Principal High-Performance LLM Training Engineer, you will join the team to drive performance for large-scale AI training and post-training workloads across the full hardware and software stack. You will perform end-to-end analysis and optimization of frontier-scale LLM pre-training and post-training workloads, identifying bottlenecks in compute, memory, communication, scheduling, and kernel efficiency. Your daily work involves developing production-quality software, tools, models, and benchmarking infrastructure to improve training performance and developer velocity. You will utilize PyTorch, JAX, NeMo, and NeMo RL while leveraging expertise in CUDA libraries, distributed training techniques like tensor and pipeline parallelism, and GPU architecture. This role solves the technical challenge of achieving speed-of-light performance for transformer-based models by translating workload insights into concrete hardware and software recommendations to shape future infrastructure across the AI ecosystem.