Senior Software Development Engineer in Test, Confidential Computing

Nvidia

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$168,000–$270,250 / yr
Employment
Full-time
Posted
48 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $176k
This role $219k
$113k $287k
below market most similar roles pay here above market

This role pays more than 84% of similar roles. Most pay $149,500–$202,800 — the blue band above. At the midpoint, this role pays about $219k 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.

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At a glance

TL;DR · Senior Software Development Engineer in Test, Confidential Computing

The Senior Software Development Engineer in Test, Confidential Computing - SDET joins the Enterprise SWQA team to support the Confidential Computing product area. This role involves developing test plans, orchestrating testing for Compute software releases on Tesla GPUs and OEM systems, and building robust automation frameworks. You will develop large-scale systems to run hundreds of tests daily across distributed heterogeneous servers and cloud environments. Key responsibilities include improving code coverage, leading feature productization, and utilizing AI tools for test plan development and defect detection. Required technical skills include Python, C, C++, Linux, and embedded systems knowledge. Candidates should also possess experience with Hypervisors, Ansible, Docker, and C/C++ toolchains. The work focuses on verifying multiple designs across various configurations to ensure high-performance reliability for next-generation chips.

What you'll do

  • Develop test plans and orchestrate testing for Compute software releases on new compute architecture platforms.
  • Automate testbench independent test specifications and execution workflows for worldwide chip validation teams.
  • Develop and operate large-scale test infrastructure for distributed heterogeneous servers and cloud environments.
  • Build and maintain automation frameworks to support the transition of manual test cases to automated workflows.
  • Incorporate advanced AI tools to enhance testing capabilities, streamline operations, and improve defect detection.
  • Improve code coverage and reliability by testing software functionality and internal code structures.
  • Develop roadmaps prioritizing software development schedules for the full life-cycle of tool development and deployment.
  • Run regression tests for existing CUDA and Driver features to ensure high production quality.

What we're looking for

  • BS or MS in Engineering or equivalent experience.
  • 8+ years of experience testing the software development cycle.
  • Solid understanding of embedded systems, Linux, Python, C, and C++.
  • Proven experience using AI tools for automation and test plan development.
  • Strong technical skills in orchestration and automation systems, data centers, and cloud architecture.
  • Solid understanding of QA methodology and experience developing test strategies and high-quality test plans.
  • Experience with Hypervisors (preferred).
  • Experience with Ansible, Docker, and virtualization software like Xen, KVM, or Hyper-V (preferred).

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