Senior Hardware Application Engineer, Cloud Service Providers at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial Intelligence, Cloud Computing, SemiconductorsIndustries

Requirements

Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, or a related field (or equivalent experience)
5+ years of proven experience in system-level design and integration of server products from concept to deployment
Solid understanding of x86 server architecture, PCIe, DDR, Infiniband and high-speed interconnects
Basic understanding of BMC (Baseboard Management Controller) architecture, I2C (SMBus), power management and critical system telemetry controls
Familiarity with Linux OS and command line experience
Knowledge of the latest PCIe Gen4 and Gen5 technical interface challenges
Strong problem-solving and analytical skills as well as excellent communication and teamwork skills

Responsibilities

Collaborate with major cloud service providers (CSP), other key OEM customers, and internal teams to help develop future GPU-accelerated data center architectures and roadmaps
Collaborate with hardware design, firmware, software, and validation teams to integrate NVIDIA's GPU-based solutions into our customers' data center products
Define system-level requirements and specifications for server products for x86 and ARM based solutions, and maintain design documentation, test plans and other enablement collateral
Analyze and optimize system performance, power consumption and thermal integration
Help solve deeper server system technical design level issues at every level
Work with other highly experienced domain expert teams at NVIDIA to ensure customer solutions are outstandingly optimized for the highest performance servers in the world

Skills

Key technologies and capabilities for this role

GPUHardware DesignFirmwareSoftware IntegrationValidationx86ARMData Center ArchitectureSystem RequirementsAIDeep Learning

Questions & Answers

Common questions about this position

What education and experience are required for this Senior Hardware Application Engineer role?

A Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, or a related field (or equivalent experience) is required, along with 5+ years of proven experience in system-level design and integration of server products from concept to deployment.

What key technical skills are needed for this position?

Candidates need a solid understanding of x86 server architecture, PCIe, DDR, Infiniband and high-speed interconnects; basic understanding of BMC architecture, I2C (SMBus), power management and critical system telemetry controls; familiarity with Linux OS and command line; and knowledge of PCIe Gen4 and Gen5 challenges.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What kind of team and work environment can I expect at NVIDIA in this role?

You'll join a diverse team passionate about technology enabling growth in AI markets, collaborating with major cloud service providers, OEM customers, hardware design, firmware, software, and validation teams to develop GPU-accelerated data center architectures.

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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