NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you! We are looking for a Board Product Engineering Manager, this is a role with more focus on engineering aspects, you will be responsible for leading and mentoring a team of NPI (New Product Introduction) PE engineers focusing on deep level system and board failure, yield improvement, issue driving and product management. You will work closely with the engineering team and production team to ensure the quality alignment and integration of the product. Your strong technical background, excellent communication skills, NPI/MP knowledge and experience in supporting the fast-growing NV product engineering and manufacturing over worldwide CMs, are essential as you will be leading products improvement initiatives and programs.
What you’ll be doing:
Manage and supervise Board PE team focusing on system and board level failure analysis, provide guidance, feedback, and coaching.
Manage product yield , drive and ensure product engineering implementation, maintenance of manufacturing methods, processes, and operations for new and existing products,
product change control and build management, product failure debug resolution over TOP issues.
Define and supervise board products’ quality and yield goals, and take corrective actions if needed, work with hard design, validation, software and product engineers to characterize product, address bugs, improve product quality.
Product representative to internal teams, supporting activities for product requirements.
What we need to see:
Bachelor’s or Master’s degree in Electronic Engineering or related fields or equivalent experience.
8+ overall years of engineering experience on data center or server system related products.
3+ years of experience in people management or project management.
Strong knowledge of failure analysis tools, techniques, and methodologies.
Data analysis skills with Python, JMP or similar tools are a plus.
Experience with board design/manufacturing/analyze
Highly results oriented, problem solver and excellent team-mate.
Knowledge of interpersonal structure, workflow, and operating procedures.
Ability to work in cross-site and cross-cultural environment.
Ways to stand out from the crowd:
Good appetency, management, and coordination.
Database, C/C++, Python abilities
Good sense of cost, effective, capacity and revenue.
Skills Required
- Bachelor's or Master's degree in Electronic Engineering or a related field, or equivalent experience
- 8+ years of engineering experience with data center or server system-related products
- 3+ years of people management or project management experience
- Strong knowledge of failure analysis tools, techniques, and methodologies
- Experience with board design, manufacturing, and analysis
- Ability to work in cross-site and cross-cultural environments
- Data analysis skills using Python, JMP, or similar tools
- Database, C, C++, and Python abilities
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.
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.”
