Senior Engineering Manager - Compute Server Bring Up 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, Data Center, AI, HPCIndustries

Requirements

5+ years of relevant experience managing systems/platform software teams, ideally in server bring up, firmware development, or data center solutions
Deep experience operating successfully in a matrix environment, forming and leading high impact virtual teams spanning multiple disciplines
BS, MS, or PhD in EE/CS or related field (or equivalent experience) with 12+ overall years of experience
Strong knowledge of compute tray designs, firmware enablement, and system-level architecture
Proven track record of delivering scalable server products and solutions for large scale data centers
Experience collaborating with hardware, firmware, manufacturing, diags and QA teams
Experience with SCM (Git, Perforce) and project management tools (Jira)
Excellent written and oral communication skills, strong work ethic, and dedication to teamwork
Hands-on experience with x86/ARM system architecture and coding (C/C++, Python)
Self-starter who loves to find creative solutions to complicated problems
Proven excellence in server architecture, collaborating across teams for delivering server products as per defined Key Performance Indicators (KPIs)

Responsibilities

Own Initial Power-On and Board Bring-Up: Lead the initial power-on and functional validation of compute trays (CPU, GPU, NIC, storage including NVMe, cooling, etc.) internally and with customers. Ensure all functional requirements are met
Form and lead a virtual team across NVIDIA software & firmware teams to ensure subject matter experts are available as needed throughout bringup. Regular reporting on status of bringup to provide visibility and ensure teams across the company are fully activated to help
Oversee flashing, updating, and validation of firmware for all server components as per defined architecture. Ensure appropriate validation done for boundary, stress, and regression testing, and confirm telemetry, logging, and hardware management features working as per requirements
Document pain points, bring up failures, recovery flows, and provide actionable feedback to hardware, firmware, and software teams. Ensure usability, firmware/BIOS update coverage, and error reporting for reliable customer installation and operation
Factory & Manufacturing Support: Support manufacturing flows, firmware updates, and diagnostic procedures. Ensure BOM change signoff and process optimization
Debug, Issue Resolution & Customer Support: Lead root cause analysis and resolution of bring-up failures. Collaborate with partners, ODMs, and customers for technical support
Documentation & Knowledge Transfer: Own and maintain platform design guides, bring-up checklists, and install instructions. Provide training and enablement for internal and external teams
Product Ownership: Drive product life cycles with QA teams, ensuring robust bring up, productization, and delivery
Performance Management: Conduct performance evaluations, develop a culture of excellence, and ensure high productivity

Skills

Board Bring-Up

Power-On Validation

Firmware Flashing

BIOS

Hardware Troubleshooting

NVLink

NVMe

Telemetry

Logging

Stress Testing

Regression Testing

GPU

CPU

NIC

Server Integration

Manufacturing Support

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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