Senior Software Engineer, At Scale Compute Analysis

Nvidia

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $152,000–$241,500 / yr
Posted: 6 days ago
Freshness: Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $179k

This role $197k

$105k most similar roles pay here $256k

This role pays more than 70% of similar roles. Most pay $149,462–$208,707 — the shaded band above. At the midpoint, this role pays about $197k versus about $179k 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.

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View all roles at Nvidia

At a glance

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

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As a Senior Software Engineer, At Scale Compute Analysis, you will join a team that analyzes large-scale datacenter workloads on GPU-accelerated clusters to identify application and platform improvement opportunities. You will transform telemetry and workload data into clear findings and visuals while partnering with OS, container, GPU, and systems engineers. Your daily work involves analyzing high-dimensional infrastructure signals, spotting trends, and documenting methods for others to extend. You will build practical visualizations and implement machine learning or deep learning techniques for categorization and forecasting within existing software workflows. The role requires proficiency in Python and JavaScript, experience with telemetry and observability stacks like Grafana, Elasticsearch, and Splunk, and a grasp of core ML concepts. You will solve complex problems involving large-scale workloads to improve performance in high-performance computing environments.

What does a Software Engineer earn in Remote?

Median $204500 from 415 postings across 57 companies.

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Skills

Python JavaScript Machine Learning Deep Learning TensorFlow PyTorch Grafana Elasticsearch Splunk Linux HPC Telemetry Observability

What you'll do

Analyze large-scale datacenter workloads and infrastructure signals to identify platform improvement opportunities.
Transform telemetry and workload data into clear findings and visual representations.
Identify trends in high-dimensional data and correlate changes with known events.
Communicate technical results and summarized conclusions to engineers and leadership.
Apply machine learning and deep learning techniques for data categorization and forecasting.
Build and maintain practical visualizations and lightweight implementations within existing software workflows.
Document analysis methods and scope requirements to enable others to extend your work.

What we're looking for

BS or MS in Engineering, Mathematics, Physics, Computer Science, or equivalent experience.
5+ years of experience analyzing complex datasets and debugging data issues.
Proficiency in Python and JavaScript programming languages.
Experience with telemetry and observability stacks such as Grafana, Elasticsearch, or Splunk.
Understanding of core machine learning and deep learning concepts.
Ability to visualize high-dimensional problems and communicate trends clearly.
Experience working in Linux and HPC or large-scale performance-sensitive environments.
Proficiency in TensorFlow or PyTorch frameworks.

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