Senior Software Verification Engineer

🕒 May 14

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Develop and Automate Testing: Design, implement, and maintain automated test scripts and frameworks (primarily in Python) to verify the correct functionality of our software products. • End-to-End Feature Ownership: Deep dive into feature sets, taking responsibility from test planning through to final implementation and full automation. • System & Integration Validation: Validate software functionality and performance through system-level and integration testing, utilizing Linux-based environments and virtualization tools. • Test Environment Management: Set up, maintain, and optimize test environments using Linux, Docker, virtual machines, and other modern tools. • Collaboration & Communication: Work closely with software, DevOps, architecture, and product teams to define test requirements, coordinate releases, and ensure high-quality product delivery. • Continuous Improvement: Drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators. • Defect Analysis: Analyze test results, file defects, and track issues to closure, ensuring robust and scalable solutions.

🎯 Requirements

• Bachelors/master’s degree in computer science or computer engineering, or equivalent experience • 5+ years of experience in software testing, QA automation, or software engineering • Strong proficiency in Python and scripting for automation • Solid experience with Linux-based environments, including system tools and command-line utilities • Proven understanding of computer networking and modern Linux operating systems • Familiarity with software testing, integration, and system validation practices • Excellent problem-solving, critical thinking, and communication skills • Ability to work independently, manage multiple tasks, and drive technical initiatives • Great interpersonal skills, agility, and determination for success • Fluent English; strong presentation and public speaking abilities.