Senior Staff Software Engineer

Nvidia

Remote

Quick summary

Work type
Remote
Location
Santa Clara, CA
Salary
$200,000–$322,000 / yr
Posted
3 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $190k
This role $261k
$122k most similar roles pay here $343k

This role pays more than 95% of similar roles. Most pay $159,375–$221,250 — the shaded band above. At the midpoint, this role pays about $261k versus about $190k 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.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Senior Staff Software Engineer

NVIDIA is seeking a Senior Staff Software Engineer to join its innovative team focused on advancing technological efficiency. This role involves leading initiatives to transform IT compute platform architectures for both on-premises and cloud environments, defining metrics to measure performance, and developing tools for data analysis and visualization. The engineer will collaborate with leadership and senior engineers to create compelling IT products that meet customer needs. Ideal candidates have over 12 years of experience in compute platform engineering, expertise in virtualization architectures, and hands-on knowledge of hardware technologies like SR-IOV, DPU, and GPU. Proficiency in Go or Python, Terraform, and configuration management tools is essential, along with experience in cloud platforms such as AWS, Azure, or Google Cloud Platform.

What you'll do

  • Lead initiatives to transform IT Compute platform architecture for new service offerings across On-Prem & Cloud.
  • Define and implement metrics to measure the efficiency of compute platforms and services.
  • Develop and maintain tools for collecting, analyzing, and visualizing data for reporting and monitoring.
  • Collaborate with senior engineers and product managers to develop compelling IT products and services.
  • Evaluate existing application architectures to identify opportunities for containerization to improve scalability.

What we're looking for

  • 12+ years of experience in compute platform engineering with a focus on automation.
  • Proven expertise in designing and deploying virtualization architectures and containerized environments.
  • In-depth knowledge of hardware technologies like SR-IOV, DPU, GPU, and their implementation.
  • Strong analytical skills for defining and tracking key performance metrics.
  • Experience developing tools for data analysis and performance profiling using Terraform and configuration management tools.
  • Proficiency in programming languages such as Go or Python.
  • Hands-on experience with cloud platforms including AWS, Azure, or Google Cloud Platform.

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