NVIDIA’s NPI Operations Team is looking for a highly motivated System Product Development Engineer to lead the development and productization of DGX products through mass production ramp. This role focuses on DGX systems and L11 rack-scale AI supercomputer reference platforms—some of the most advanced computing systems in the world for Artificial Intelligence. These products form the foundation for training and deploying industry-leading LLMs and represent NVIDIA’s fastest-growing business segment and largest market opportunity.
What you'll be doing:
Drive development and productization of NVIDIA’s DGX datacenter products and L11 systems.
Lead debug efforts for L11 rack-level integration, creating and applying tools/scripts for failure identification and root cause analysis.
Provide clear, actionable guidance to factories to resolve issues quickly and implement corrective actions that improve manufacturing quality and efficiency.
Develop and document robust, stable recipes—including diagnostics, firmware, and software—for mass production ramp.
Review and provide feedback on test plans and factory acceptance criteria, focusing on yield, quality, and efficiency.
Collaborate with development, validation, and manufacturing test engineering teams to understand diagnostic and firmware release plans and their impact on system stability and quality.
Influence test engineering and diagnostic teams to enhance test methodology, telemetry, and debug capabilities for precise FRU identification and isolation of firmware/test issues and to improve test coverage with the goal of preventing downstream escapes.
Partner with product development teams to ensure designs are optimized for manufacturing.
Present NPI status updates and critical issues to executive management.
What we need to see:
Expertise in server platform architecture, CPU/GPU baseboards, and high-speed interfaces with proven system-level debug skills and exceptional diagnostic instincts.
Strong knowledge of BMC, firmware architecture, and manufacturing diagnostics.
Familiarity with L11 integration processes.
Excellent communication skills to articulate problems and deliver clear recommendations.
Strong analytical skills to synthesize complex information and provide actionable guidance.
Leadership skills to manage factory operations and drive issue resolution.
Collaborative mindset to work seamlessly with cross-functional teams and external partners.
Results-driven approach to achieving optimal outcomes across all aspects of NPI operations.
12+ years in system engineering, debug, or equivalent relevant experience
BS or higher in Electrical Engineering, Computer Engineering or equivalent experience
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers; we have some of the most forward-thinking and hardworking people in the world working for us and, due to unparalleled growth, best-in-class teams are rapidly growing. If you’re creative and autonomous with a real passion for your work, we want to hear from you!
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 200,000 USD – 322,000 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 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
- 12+ years of experience in system engineering, system debug, or equivalent relevant experience
- Bachelor's degree or higher in Electrical Engineering, Computer Engineering, or equivalent experience
- Expertise in server platform architecture, CPU/GPU baseboards, and high-speed interfaces
- Proven system-level debugging skills and strong diagnostic abilities
- Strong knowledge of BMC, firmware architecture, and manufacturing diagnostics
- Familiarity with L11 integration processes
- Excellent communication skills for articulating problems and recommendations
- Strong analytical skills to synthesize complex information and provide actionable guidance
- Leadership skills to manage factory operations and drive issue resolution
- Ability to collaborate with cross-functional teams and external partners
- Results-driven approach to NPI operations and manufacturing outcomes
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 — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
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.”
