This role pays less than
70%
of similar roles. Most pay
$194,594–$246,150
— the shaded band above.
At the midpoint, this role pays about
$197k
versus about
$220k
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
563 open roles
on FindRole.
Listed pay typically runs
$168,000–$264,500
across 556 roles with salary data.
Join NVIDIA as a Senior AI/ML Performance and Efficiency Engineer, GPU Clusters, where you will collaborate closely with researchers to enhance the efficiency of ML models, leading to significant productivity improvements and cost savings. Your day-to-day tasks include building tools and frameworks to detect and analyze efficiency bottlenecks, working on innovative ML workloads across robotics, autonomous vehicles, LLMs, videos, and more, while also monitoring fleet-wide utilization patterns and delivering scalable solutions. You will need a strong background in computer science, at least 5 years of experience with large-scale compute infrastructure, expertise in modern ML techniques, and proficiency in Python, Go, Bash, as well as cloud computing platforms like AWS, GCP, Azure. Familiarity with NVIDIA GPUs, CUDA programming, NSight Systems, NCCL, PyTorch, TensorFlow, and distributed storage systems is highly desirable.