Datacenter Hardware Applications Engineer at NVIDIA

Santa Clara, California, United States

Apply Now

Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Datacenter, TechnologyIndustries

Requirements

BS or higher in EE, CE, or Systems Engineering, or equivalent experience
4+ years of relevant experience in supporting enterprise datacenter products for x86 and/or ARM architecture
Strong analytical skills and experience in reviewing enterprise system design and CPU architecture
Understanding of x86 and ARM system architecture for server design, including BMC (Baseboard Management Controller), security, and out-of-band management
Professional-level interpersonal skills, including the ability to adjust communication to the technical level of the audience
Innate capability to accurately and succinctly communicate procedures, results, and recommendations to customers
Experience with using lab tools such as oscilloscopes, multi-meters, and logic analyzers
Nurtured knowledge of Linux and comfort working in various Linux environments

Responsibilities

Perform system design reviews for data center applications to ensure partner designs meet NVIDIA guidelines
Work on resolving system integration issues related to thermal, mechanical, electrical, PCIe, and GPU interconnect interfaces, including out-of-band management services
Understand system design requirements for High Performance Computing (HPC) and AI workloads to drive platform configuration guides for x86 and ARM servers
Conduct the installation, configuration, and bring-up of enterprise server hardware
Work directly with NVIDIA customers, analyze data to answer questions, reproduce errors, resolve issues, or escalate customer concerns
Be involved in customer interaction and communication via conference calls or face-to-face meetings
Familiarize yourself with performing hardware debug using oscilloscopes and analyzers to qualify, validate, and solve NVIDIA products for customer systems
Track and file new bugs, and reproduce issues as needed
Create product specifications, hardware design guides, application notes, and other supporting technical collateral

Skills

x86

ARM

BMC

Linux

PCIe

GPU

oscilloscopes

logic analyzers

multi-meters

CPU 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.

Land your dream remote job 3x faster with AI

Try Jobo Free