NVIDIA’s NPI Operations Team is seeking a System Product Development Engineer to lead the development and productization of DGX products, focusing on MGX/DGX systems and L11 rack-scale AI supercomputer platforms. This role is critical for driving the mass production ramp of some of the most advanced computing systems for Artificial Intelligence. The engineer will collaborate with various teams to enhance manufacturing quality and efficiency while ensuring system stability. This position offers an opportunity to influence product development and contribute to NVIDIA's fastest-growing business segment.

• Expertise in server platform architecture, CPU/GPU baseboards, and high-speed interfaces.
• 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.
• 8+ years in system engineering, debug, or equivalent relevant experience.
• BS or higher in Electrical Engineering, Computer Engineering or equivalent experience.

• 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.
• Partner with product development teams to ensure designs are optimized for manufacturing.
• Present NPI status updates and critical issues to executive management.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.