Senior Software Engineer, At Scale Compute Analysis

Nvidia

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Santa Clara, CANCCOWACA
Salary
$152,000–$241,500 / yr
Employment
Full-time
Posted
6 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $176k
This role $197k
$105k $256k
below market most similar roles pay here above market

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

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 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Senior Software Engineer, At Scale Compute Analysis

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.

See salary data

What you'll do

  • Analyze large-scale datacenter workloads and infrastructure signals to identify platform improvement opportunities.
  • Convert telemetry and workload data into clear findings and visual representations.
  • Identify trends in high-dimensional data and correlate changes to specific known events.
  • Apply machine learning and deep learning techniques for data categorization and forecasting.
  • Build and maintain practical visualizations and lightweight ML implementations within existing software workflows.
  • Scope analyses and document methodologies to ensure work can be extended by other team members.
  • Communicate technical results and summaries to engineering teams and leadership.

What we're looking for

  • 5+ years of experience analyzing complex datasets, debugging data issues, and communicating trends clearly.
  • BS or MS in Engineering, Mathematics, Physics, Computer Science, or equivalent experience.
  • Strong proficiency in Python and JavaScript.
  • Hands-on experience with telemetry and observability stacks such as Grafana, Elasticsearch, or Splunk.
  • Grasp of core machine learning concepts and strong analytical and problem-solving skills.
  • Experience with TensorFlow or PyTorch (preferred).
  • Experience with Linux and HPC or large-scale, performance-sensitive environments (preferred).
  • Experience visualizing high-dimensional problems (preferred).

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