Senior SDET — Confidential Computing & AI-Driven Testing

NVIDIA Corporation; Santa Clara (CA); On-site; USD 168,000 - 270,000; Full time

Job summary

NVIDIA Corporation is seeking a Senior Software Development Engineer in Test to join the Confidential Computing QA team. You will drive test plan development and automate testbench workflows for silicon validation, across diverse compute architectures and cloud-based environments.

You will help design scalable, high-performance testing systems, improve code coverage, and collaborate with cross-functional teams to deliver robust automation and validation infrastructure.

Qualifications

• BS or MS in Engineering with 8+ years of software testing experience.
• Solid knowledge of embedded systems, Linux, Python, and C/C++.
• Experience with hypervisors and cloud infrastructure.
• Proven ability to develop test strategies, plans, and automation.
• Experience with configuration/deployment tools (Ansible) and virtualization tech (Docker, Xen, KVM, Hyper-V).
• CUDA C/C++, OpenACC and parallel programming experience preferred.

Responsibilities

• Develop test plans and orchestrate testing for compute software across architectures.
• Build robust test infrastructure and automate testbench workflows.
• Lead the automation of manual tests and contribute to automation framework.
• Collaborate across teams to define features and automate them.
• Run regression tests for CUDA/Driver features and ensure high-quality releases.

Skills

Embedded systems

Linux

Python

C/C++

QA methodologies

Cloud infrastructure

Education

BS/MS in Engineering

Tools

Ansible

Docker

Xen

KVM

Hyper-V

CUDA C/C++

Job description

NVIDIA Corporation is seeking a Senior Software Development Engineer in Test to join the Confidential Computing QA team. You will drive test plan development and automate testbench workflows for silicon validation, across diverse compute architectures and cloud-based environments.

You will help design scalable, high-performance testing systems, improve code coverage, and collaborate with cross-functional teams to deliver robust automation and validation infrastructure.