Manager, System Test Engineering

We are seeking a System Test Engineering Manager to lead manufacturing test solutions for NVIDIA Datacenter system products. In this role, you will combine deep technical expertise, test strategy ownership, and people leadership to guide engineering teams in delivering scalable diagnostics, automation infrastructure, and production-ready methodologies for high-quality Datacenter platforms.

As a manager in the Datacenter Test Solutions Group, you will work closely with hardware, software, diagnostics, manufacturing, operations, and product teams to drive test readiness from early product development through high-volume production. Your leadership will help define processes and solutions that improve product quality, manufacturing efficiency, and long-term execution across complex system programs.

What you'll be doing:

• Lead manufacturing test strategy and execution for Datacenter system products from NPI through production..
• Own test solution readiness for Datacenter product builds, ramps, and customer delivery.
• Refine and scale manufacturing test methodologies, diagnostics, automation, and infrastructure for high-complexity system products.
• Partner with cross-functional teams across hardware, software, diagnostics, operations, manufacturing, and quality.
• Drive identification, specification, design, and qualification of test fixtures, test equipment, diagnostic software, and automated validation flows.
• Identify gaps in product test coverage, production efficiency, and failure isolation, then guide teams toward practical solutions.
• Lead, mentor, and grow a team of engineers responsible for Datacenter product test execution and infrastructure.
• Guide teams through technical issue resolution, root-cause analysis, and manufacturing test improvements.
• Introduce new test technologies and automation methods to improve quality, cycle time, and factory efficiency.
• Build scalable processes that can support future Datacenter platforms and product generations.

• 6+ overall years of experience in post-silicon validation, manufacturing test, board/system test, or related system product engineering.
• 2+ years of experience managing engineers or leading technical teams and complex projects.
• BS degree in Electrical Engineering, Computer Engineering, or equivalent experience.
• Strong understanding of Datacenter system products, manufacturing flows, and chip-to-system validation.
• Experience with test strategy, diagnostics, production test infrastructure, and failure analysis.
• Python programming and bash scripting experience.
• Ability to lead cross-functional execution across engineering, manufacturing, operations, and quality teams.
• Excellent communication, leadership, and people-management skills.
• Strong technical judgment with the ability to balance product quality, schedule, factory readiness, and long-term scalability.

Ways to stand out from the crowd:

• Experience with Datacenter servers, AI systems, GPU-based platforms, networking, storage, or rack-scale systems.
• Background in automated diagnostics, test content generation, or manufacturing data analytics.
• Experience bringing complex hardware products from development into high-volume production.
• Familiarity with Linux-based systems, firmware, BMC, networking, PCIe, NVLink, or thermal/power validation.
• Proven ability to build teams, define processes, and drive execution across multiple product programs.

With competitive salaries and a generous benefits package, we are widely considered one of the technology industry's best employers. If you are a creative engineering leader with deep system test experience and a passion for Datacenter products, we want to hear from you. Come build the future with us.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 253,000 USD.

You will also be eligible for equity and benefits .

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionised parallel computing - with the GPU acting as the brains of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company."