This role pays more than
64%
of similar roles. Most pay
$142,400–$217,725
— the shaded band above.
At the midpoint, this role pays about
$197k
versus about
$180k
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
985 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 971 roles with salary data.
As a senior data analyst on NVIDIA’s GPU-accelerated clusters team, you will analyze large-scale datacenter workloads to identify application and platform improvement opportunities. You’ll collaborate with OS, container, GPU, and systems engineers to apply machine learning techniques for categorization and forecasting, integrating these insights into practical tools used by the team. Your daily tasks include working with high-dimensional datasets to spot trends, correlate changes with known events, summarize findings, and communicate results effectively to both technical teams and leadership. You must have 5+ years of experience in complex dataset analysis, strong Python and JavaScript skills, proficiency with telemetry stacks like Grafana and Elasticsearch, and a solid understanding of machine learning concepts. Experience in Linux environments, high-performance computing, and visualizing high-dimensional problems is also essential for this role.
C++
Linux
TCP
UDP
CI/CD
Python
ARM
PowerPC
x86
Microcontrollers
Networking
Satellite Constellation Performance
Security
Reliability
Autonomous Systems
Computer Architecture
Networks
High Performance Computing