Senior Component Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Consumer, Commercial, Industrial, Automotive, Datacenter, Healthcare, AIIndustries

Requirements

BSEE or equivalent experience
Good interpersonal skills, both written and verbal
Over 8+ years of engineering experience in component and commodity engineering, servicing multiple design teams
Technical leadership experience in all types of electrical and electromechanical components in boards and systems
In-depth knowledge of all tiers of electrical commodities
Capable of coordinating cross-functionally with groups such as Hardware Design, Reliability, Regulatory Engineering, GCM (Global Commodity managers), Manufacturing Engineering, and Contract Manufacturer organizations to problem solve pertaining to component selection and use
Understanding schematics and possessing design process flow knowledge
Hands-on hardware design experience is a plus
Experience using industry popular CAD applications, such as Cadence/Allegro and SolidWorks is desirable

Responsibilities

Participate in the design, assembly, and testing of components to ensure they meet the product design specifications for function, performance, and quality
Assist design engineers in selecting, qualifying, approving, and documenting release of new components
Maintain components through PDP and part library tools, and manage product lifecycle management
Align on sourcing strategies, PSL, and part reuse
Participate in PCN management and drive Value Engineering for supply chain Risk Mitigation
Support component quality and support Operations Quality organizations with regard to quality development, maintenance, failure analysis, and resolution activities
Participate in developing the knowledge base of the global material industry, manufacturers, technologies, processes, products, and applications for the Consumer, Commercial, Industrial, Automotive, Datacenter, Healthcare, and other emerging AI market segments

Skills

Component Engineering

Electromechanical Components

Electrical Components

PDP Tools

Part Library Management

PCN Management

Value Engineering

Failure Analysis

Sourcing Strategies

Commodity Management

Quality Development

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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