Job description

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 the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until May 12, 2026. 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.

Requirements

Must-haves

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.
Partner with product development teams to ensure designs are optimized for manufacturing.
Present NPI status updates and critical issues to executive management.
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
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until May 12, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

Platform: eightfold
Effort: medium