QA Manager, Enterprise Server Firmware and Software

Taiwan, Taipei

NVIDIA

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NVIDIA is the world leader in GPU Computing. We are passionate about markets that include gaming, automotive, vision, HPC, data centers, and networking in addition to our traditional OEM business. NVIDIA is also well-positioned as the ‘AI Computing Company’, and NVIDIA GPUs are the brains powering Deep Learning software frameworks, analytics, data centers, and driving autonomous vehicles. We have some of the most experienced and dedicated people in the world working for us. If working with dedicated, forward-thinking, and hard-working technical people across countries sounds exciting, this job is for you.
We're seeking a candidate with a solid tech background in server technologies and proven leadership abilities.

What you’ll be doing:

  • Lead, mentor, and grow a team of QA engineers specializing in server firmware, driver, and OS/virtualization testing.

  • Develop and complete a comprehensive QA strategy with a focus on achieving 100% end-to-end test automation coverage.

  • Oversee the design, implementation, and maintenance of robust automated test frameworks and pipelines.

  • Champion the adoption and integration of AI tools, particularly AI coding solutions, to optimize test automation and team productivity.

  • Collaborate with development, software project management, and product management to ensure QA objectives align with business goals and project timelines.

  • Define, track, and analyze key quality metrics; proactively identify and address quality issues to ensure timely, high-quality releases.

  • Encourage a culture of ongoing improvement, innovation, and accountability within the QA team by staying updated on industry trends, tools, and standard methodologies.

  • Drive effective planning, prioritization, resource management, and recruitment to build and develop a high-performing QA organization.

What we need to see:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • 7+ overall years of experience in QA, including at least 3 years in a leadership or management role.

  • Strong hands-on experience with server firmware, drivers, operating systems (Linux/Windows), and virtualization technologies such as VMware, KVM, and Hyper-V.

  • Proven expertise in designing and implementing automated test frameworks and CI/CD pipelines using tools like Python, Java, Jenkins, and Robot Framework.

  • Solid understanding of server hardware, BIOS/UEFI, BMC, and related firmware components.

  • Demonstrated experience with AI tools, particularly AI coding tools (e.g., Cursor, GitHub Copilot), and a track record of integrating them into QA workflows.

  • Experience with cloud infrastructure, containerization (Docker, Kubernetes), and related automation tools

  • Demonstrated ability to lead, motivate, and develop high-performing QA teams, including distributed or remote teams.

  • Excellent communication, interpersonal, organizational, planning, and problem-solving skills.

  • Passion for quality, automation, innovation, and the ability to excel in a fast-paced, dynamic environment with strong collaborator management and multi-functional partnership skills.

Ways to stand out from the crowd:

  • Demonstrated strong analytical skills with the ability to interpret complex QA metrics and data, redefining insights into actionable strategies that drive continuous improvement and measurable quality outcomes.

  • Demonstrated a consistent track record of driving organizational change, such as leading successful QA process transformations or scaling automation initiatives across multiple teams or global locations.

  • Demonstrated ability to communicate technical findings and data-driven recommendations clearly to both technical and non-technical collaborators, ensuring alignment and informed decision-making across the organization.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Leadership Jobs

Tags: CI/CD Computer Science Copilot Deep Learning Docker Engineering Excel GitHub GPU HPC Java Jenkins Kubernetes Linux Pipelines Python Testing

Perks/benefits: Career development

Region: Asia/Pacific
Country: Taiwan

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