Performance Engineer, Deep Learning and HPC
Nvidia
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How this pay compares to similar roles
This role pays more than 72% of similar roles. Most pay $149,500–$202,800 — the blue band above. At the midpoint, this role pays about $197k versus about $176k for comparable roles.
Based on 240 similar postings.
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 1623 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.
Most-posted roles
At a glance
As a Senior Software Engineer, At Scale Compute Analysis, you will join a team analyzing large-scale datacenter workloads on GPU-accelerated clusters. Your primary responsibility involves turning telemetry and workload data into clear findings and visuals to identify application and platform improvement opportunities. You will partner with OS, container, GPU, and systems engineers to scope analyses, document methods, and communicate trends to leadership. You will build and maintain practical visualizations and lightweight implementations using machine learning and deep learning techniques for categorization and forecasting. The role requires proficiency in Python, JavaScript, and telemetry stacks like Grafana, Elasticsearch, and Splunk. You must be able to handle high-dimensional data within Linux and HPC environments, utilizing core ML concepts to solve complex performance-sensitive problems in large-scale infrastructure.
What does a Software Engineer earn in California?
Median $214500 from 1193 postings across 76 companies.
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