Manager, SWQA Test Development at NVIDIA

Taipei, Taiwan

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Gaming, Automotive, HPC, Datacenters, NetworkingIndustries

Requirements

Bachelor’s degree in Computer Science or similar discipline required, Master’s degree preferred
10+ years direct management experience with quality assurance teams
5+ years of hands-on software quality assurance or software development experience
Experience working in a fast-paced, Agile/Scrum engineering environment, delivering incremental software with high quality
A solid engineering foundation indicated by a demonstrated understanding of product design, life cycle, software development practices, and support services
Experience with AI coding tools (e.g., Cursor, Windsurf, GitHub Copilot) and integrating them with MCP to test workflows
Demonstrated people management skills building and developing high performance teams
Enthusiastic leader with a driver mentality
Ability to organize and motivate a team, analyze and resolve risks, execute a project plan and communicate status accurately
Ability to stay current and have a passion for new technologies
Hands on experience with Test automation Framework development and Maintenance. Selenium, Python, Linux required
Experience managing and supporting BMC/SBIOS/FPGA firmware development

Responsibilities

Handle DGX product release quality and test automation development
Prioritizing team assignments and efforts
Supporting and enhancing the QA methodologies to ensure delivery of predictable, high-quality product releases
Hands on experience with Test automation Framework development and Maintenance
Helping to define quality practices and metrics which serve as strong predictors for the post-release customer experience
Building up appropriate manual and automated test inventories to drive efficiency and productivity across the organization
Timely identification and mitigation of technical and non-technical risks, helping the team remove impediments
Communicating the status and key quality metrics to leadership teams, and help drive improvement as necessary
Participating in development plan and performance reviews of direct reports
Work with AI tools to facilitate the automation process

Skills

Selenium

Python

Linux

Test Automation Framework

BMC

SBIOS

FPGA

AI Tools

QA Methodologies

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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