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.”
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.
What we need to see:
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.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- 6+ years of experience in post-silicon validation, manufacturing test, or related engineering
- 2+ years of experience managing engineers or leading technical teams
- BS degree in Electrical Engineering or Computer Engineering
- Strong understanding of Datacenter system products and manufacturing flows
- Experience with test strategy, diagnostics, and production test infrastructure
- Python programming and bash scripting experience
- Excellent communication and leadership skills
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
-
Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
-
Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
-
Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
