Power Validation Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, AI, Automotive, RoboticsIndustries

Requirements

BS, MS, or PhD in Power Electronics/Electrical Engineering, Computer Engineering, or a related degree (or equivalent experience)
5+ years of related experience in power validation
Proven understanding of power electronics fundamentals, with experience in closed-loop control, innovative 48V topologies, multiphase regulators, high power density architecture, Power Distribution Network (PDN) impedance analysis, power devices, and power management
Deep technical knowledge of telemetry and protection management, design for debugging, security, safety and reliability, and failure analysis
Experience with power circuit design, magnetics, modeling, failure analysis, performance analysis, bring-up, debug, and verification
Proficiency in various programming and scripting languages, including C/C++ and JavaScript, as well as Linux
Proficiency with development and simulation tools, lab equipment setup, and fixing skills
Team-oriented demeanor, with a "can do" attitude and excitement for solving multi-disciplinary challenges in fast-paced, layered environments
Good verbal and written communication skills; organized, team-oriented, and effective in working with management, collaborators, peers, suppliers, and customers
Strong leadership, facilitation, problem-solving, cross-disciplinary, and program management skills

Responsibilities

System/board level debug and validation of NVIDIA's products in fields like GPU cards, MGX servers, automotive, robotics, industrial PC, and consumer electronics to ensure the highest quality products reach the market
Managing and accomplishing system power bring-up and debug processes
Collaborating with power vendors to resolve issues and improve our power solutions
Develop and simulate power solution test platforms
Supporting the improvement of future products and power solution roadmaps
Working closely with the design, validation, system design, system validation, silicon design, thermal/mechanical design teams, and vendors to root cause bugs and issues
Contributing to the development of new power validation procedures

Skills

Key technologies and capabilities for this role

Power ValidationSystem DebugPower Bring-upPower ElectronicsClosed-loop Control48V TopologiesMultiphase RegulatorsHigh Power DensityPower SimulationRoot Cause Analysis

Questions & Answers

Common questions about this position

What education and experience are required for the Power Validation Engineer role?

A BS, MS, or PhD in Power Electronics/Electrical Engineering, Computer Engineering, or a related degree (or equivalent experience) is required, along with 5+ years of related experience in power validation.

What technical skills are needed for this position?

Candidates need proven understanding of power electronics fundamentals including closed-loop control, 48V topologies, multiphase regulators, PDN impedance analysis, and power devices; experience with power circuit design, magnetics, modeling, failure analysis; proficiency in C/C++, JavaScript, Linux, and development/simulation tools.

What is the company culture like at NVIDIA?

NVIDIA offers a diverse, supportive environment where everyone is inspired to do their best work, with a team-oriented demeanor, 'can do' attitude, and excitement for solving multi-disciplinary challenges in fast-paced environments.

What soft skills are important for this role?

Strong verbal and written communication skills, organization, team-oriented approach, leadership, facilitation, problem-solving, cross-disciplinary collaboration, and program management skills are essential.

What makes a strong candidate for the Power Validation Engineer position?

A strong candidate has 5+ years in power validation, deep power electronics knowledge, proficiency in C/C++, JavaScript, Linux, and tools, plus a team-oriented 'can do' attitude with excellent communication and problem-solving skills.

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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