Senior Silicon Validation and Productization 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

Semiconductors, Artificial IntelligenceIndustries

Requirements

BS or MS in Electrical/Computer Engineering or equivalent experience
8+ years in silicon bringup, validation, debug, productization, or equivalent
Strong fundamentals in digital design, system and microarchitecture, timing, clocking, power, noise, and control systems
Deep understanding of SW/firmware and HW/SW interaction
Experience with memory and IO interfaces is a plus
Hands-on lab experience (oscilloscopes, multimeters, logic analyzers) is preferred
Basic programming and scripting skills such as C/C++, Python, and Perl
Excellent problem-solving, teamwork, and interpersonal skills

Responsibilities

Involvement in the latest power management and clocking feature developments with multi-functional teams to define design requirements for supporting validation, qualification, productization, and debug needs
Develop bringup, validation, qualification, tuning, and productization plans
Build supporting tools/script/infrastructure with relevant stakeholder teams
Lead post-silicon bringup and support debug activities
Continuously optimize validation and productization processes and methodologies to improve overall quality and efficiency

Skills

Key technologies and capabilities for this role

silicon bringupvalidationdebugproductizationpower managementclockingdigital designmicroarchitecturetimingC/C++PythonPerloscilloscopeslogic analyzersHW/SW interaction

Questions & Answers

Common questions about this position

What is the salary range for this position?

The base salary range is 168,000 USD - 310,500 USD, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this role remote or hybrid?

This is a hybrid role.

What are the key required skills for this role?

Candidates need 8+ years in silicon bringup, validation, debug, productization, or equivalent, strong fundamentals in digital design, system and microarchitecture, timing, clocking, power, noise, and control systems, plus basic programming skills in C/C++, Python, and Perl.

What is the company culture like at NVIDIA?

NVIDIA offers a dynamic work environment at the forefront of innovation in silicon solutions, with forward-thinking and hardworking people, rapidly growing exclusive engineering teams, and a focus on contributions that directly impact success.

What makes a strong candidate for this position?

A strong candidate has a BS or MS in Electrical/Computer Engineering or equivalent, 8+ years of relevant experience, hands-on lab skills, excellent problem-solving, teamwork, and interpersonal skills, and is a creative, autonomous engineer passionate about technology.

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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