Software QA Engineer- New College Grad 2026

NVIDIA•Santa Clara, CA

19h•Onsite

About The Position

NVIDIA has been a leader in computer graphics, PC gaming, and accelerated computing for over 25 years, driven by innovation and talented individuals. The company is now leveraging AI to define the next era of computing, with GPUs acting as the brains for various intelligent systems. As an NVIDIAN, you will be part of a diverse and supportive environment. This specific role is for a QA engineer to join the SW/FW testing team, contributing to NVIDIA products meeting industry-leading benchmarks of efficiency and quality. The team fosters a collaborative and inclusive work environment, encouraging idea sharing and innovation. As a QA Engineer, you will be involved in the latest advancements, developing world-class products and ensuring their performance and quality meet high standards. The ideal candidate will have proven QA experience, actively test industry-leading features in the Networking sector, acquire new feature knowledge, conduct manual and automated tests, and contribute to automation system development. A robust understanding of the SW release cycle and the QA role within it is essential.

Requirements

BS or MS in Computer Science or Electrical/Electronics Engineering or equivalent experience.
A strong familiarity with QA methodologies, Test design, Bug prioritization, SW release workflows.
Vast knowledge of network switch configuration and debug including VLAN, switch-port.
Linux administration knowledge.
Experience with engineering lab environments for product bring-up and development.
Self-reliant individual, capable of planning and carrying out tasks within their assigned area.
Good interpersonal skills, quick learner, proactive, innovative, highly motivated, and committed.

Nice To Haves

Proven experience in QA - methodologies, and test design.
Working in fast-paced environment with multiple parallel running activities.
Experience with release management, V&V, E2E testing.
Scripting skills and proven experience in Python or other programming languages and knowledge of Linux/Windows OS.

Responsibilities

Bring up new lab setups, maintain existing infrastructure, and plan future lab engagements.
Support optics‑accelerated testing, including planning, execution, and analysis of high‑speed optical interconnect validation.
Review architecture, design, and requirements documents for new features across multiple domains, including NVIDIA networking switches, and related systems.
Design and execute comprehensive test plans for both initial releases and ongoing firmware updates.
Develop and maintain automated frameworks expanding existing infrastructure with new capabilities to improve coverage, stability, and efficiency.
Report bugs found during execution, assist with reproduction and debugging to understand root cause, verify bug fixes provided by R&D team, and raise if not fixed.
Conduct tests in various areas, including regression, performance, functional, and security.
Keep track of testing progress and generate summary reports of testing activities.
Work multi-functionally with teams such as R&D, product marketing, and system verification to ensure high-quality, production-ready deliverables.
Define and build setup topologies for appropriate product coverage.