Manager, Engineering - Data Center Management at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, High Performance Computing, Data Centers, SemiconductorsIndustries

Requirements

10+ overall years of relevant experience working on server firmware (BMC) and platform software development
BS, MS, or PhD in EE/CS or related field of education or equivalent experience
Hands on experience with data center health management workflow
Proven record of delivering server firmware for large data centers
Strong knowledge of data center management, server architecture and server manageability in data centers
4+ years of proven record to manage teams of engineers
Strong and demonstrable skill in C/C++ and Python
Experience programming and debugging skills for server platforms
Experience in SCM (e.g. Git, Perforce) and project management tools like Jira
Excellent written and oral communication skills, good work ethics, high sense of team-work, love to produce quality work and commitment to finish your tasks every single day
Self-starter who loves to find creative solutions to complicated problems and hands on with coding

Responsibilities

Drive server management for large clusters and data centers deploying GPUs and Grace solution from NVIDIA
Work with data center architects and cloud customers to narrow down on requirements for implementation to ensure speed of light product development
Work closely with hardware team to define low level requirements and architecture for all data centers products for their management
Own and deliver firmware for low level management components
Manage team to deliver firmware with quality
Work with internal teams to make sure requirements are designed and implemented in right way with each firmware and software module
Collaborate with other leads to design & build data center health management workflow
Drive reliability and optimization in firmware architecture from a data center view point
Work closely with cluster bring up team and resolve issues at Speed of Light
Own firmware delivered to data centers in terms of quality, reliability and telemetry performance

Skills

Firmware Development

Server Management

Data Center Architecture

GPU

Grace CPU

HPC

Generative AI

Rack Design

Hardware Architecture

Manageability Architecture

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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