The Role
Develops and delivers manufacturing, test, failure-analysis, and recovery processes for complex NVIDIA datacenter servers and assemblies. The role coordinates with hardware, firmware, software, manufacturing, and quality teams; supports prototype and validation builds; analyzes throughput, yield, and failure data; develops assembly and test documentation; debugs server platforms; and drives process improvements, product quality, and cost optimization.
Summary Generated by Built In
NVIDIA is the leader in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for extraordinary people like you to help us accelerate the next wave of artificial intelligence. Make the choice to join our growing team today!
What you'll be doing:
- Our team owns, develops and delivers the Manufacturing, Test, and Failure Analysis/recovery process for new datacenter servers and assemblies incorporating the latest NVIDIAs GPU, CPU, and high speed interconnect technologies.
- Early engagement with HW/FW/SW engineering groups, manufacturing partners, and other operations units such as program management and product quality engineering.
- Develop and implement comprehensive product development plans that will result in high quality product. Participate in mfg. process planning, scheduling and cost optimization.
- Participate in Design for Manufacturing / Test (DFX) process and reviews. Provide DFX feedback that results in excellent product quality.
- Work closely with factory personnel and engineering teams during prototype/validation builds, driving solutions to day-to-day problems, collecting metrics and reporting status. Work cross functional teams to define and implement process improvements, based on data collection and analysis.
- Reviewing build dashboards to analyze latest throughput, yields and failure categories. Publishing clear daily status and build reports.
- Develop documentation and SOPs for product assembly, test, debug/failure analysis for internal teams, contract manufacturers or external customers.
- Debugging server platforms as per published guidelines. Working with CM Failure Analysis, Test Engineers and Operators to ensure factory assembly and test plans meet Nvidia’s standards. Performing minor rework, retesting and recovering units.
What we need to see:
- BS/MS or equivalent experience in Electrical Engineering and 12+ years of relevant work experience.
- Solid understanding of complex compute/AI server system architecture. Also knowledgeable about rack scale systems (servers, backend network switches, TOR switches, power shelves, cabling etc.)
- Proven skills and experience in design and manufacture of complex hardware platforms.
- Excellent complex hardware platforms debugging and rational problem solving skills. Ability to review logfiles and make initial triage decisions based on documentation provided by the Engineering Team.
- Familiar with power and thermal system design for datacenter rack server systems.
- Excellent multi-functional collaboration skills, working in a global, matrixed team and motivated to continually improve/optimize processes.
- Familiar with diagnostics/test software as used in a factory setting.
- CPU, GPU, HBM, PCIe expertise and comfortable writing Python code and test scripts.
- Familiarity with linux command line, running commands, reviewing output
- A high-energy, proactive self-starter with a strong sense of ownership and accountability to drive critical tasks and projects through to completion.
Ways to stand out from the crowd:
- Strong alignment with Nvidia's core values : Innovation, Intellectual Honesty, One Team, Speed & Agility, and Excellence.
- Strong EE fundamentals, knowledgeable in digital design, signal integrity, statistics, timing analysis, fault analysis, sampling and computer architecture.
- Prior board/system level electrical design experience.
- Working knowledge of complex high perf server and/or networking platforms.
- Working knowledge of AI based tools for improving efficiency and automating day today tasks.
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 an inclusive 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
- Bachelor’s or master’s degree in Electrical Engineering, or equivalent experience
- 12+ years of relevant work experience
- Understanding of complex compute and AI server system architecture
- Knowledge of rack-scale systems, including servers, network switches, power shelves, and cabling
- Experience designing and manufacturing complex hardware platforms
- Complex hardware debugging and problem-solving skills
- Experience reviewing log files and performing initial triage
- Knowledge of power and thermal system design for datacenter rack servers
- Cross-functional collaboration experience in global, matrixed teams
- Familiarity with factory diagnostics and test software
- CPU, GPU, HBM, and PCIe expertise
- Ability to write Python code and test scripts
- Familiarity with Linux command line and command output analysis
- Strong ownership, initiative, and accountability
- Knowledge of digital design, signal integrity, statistics, timing analysis, fault analysis, sampling, and computer architecture
- Prior board- or system-level electrical design experience
- Experience with high-performance server or networking platforms
- Working knowledge of AI-based tools for process efficiency and automation
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.
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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.
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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.
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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.
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The Company
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.”
