DGX NPI System Product Development Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial Intelligence, DatacenterIndustries

Requirements

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

Responsibilities

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

Skills

Server Platform Architecture

CPU

GPU

Baseboards

High-Speed Interfaces

System-Level Debug

Diagnostics

Firmware

Software Development

Root Cause Analysis

Manufacturing Processes

Test Plans

Telemetry

Rack-Scale Systems

AI Supercomputers

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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