Senior Post-Silicon Validation and Methodology Engineer at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, Technology, HardwareIndustries

Requirements

MS degree in EE/CE or equivalent experience
6+ years in silicon bring-up, validation, performance/power optimization, issue debug, productization, or equivalent
Strong fundamentals in digital design, computer architecture, power analysis, timing, fault analysis, statistics, and IO interface, PLL and clock
Deep understanding of SW/firmware and HW/SW interaction
Excellent verbal communication and written presentation skills
Hands-on lab experience (oscilloscopes, multimeters, logic analyzers) is preferred
Basic programming and scripting skills such as C/C++, Python, and Perl
Windows and Linux OS knowledge are plus
Excellent problem-solving, teamwork, and interpersonal skills, effective in a collaborative environment

Responsibilities

Proactively dive into new feature and spec from Pre-Si and lead test strategies development, including functional validation methodology, characterization and tuning strategy, platform/component interoperability, test design, debug capability and tools/scripts, system, SLT, and manufacturing test requirement
Develop bring-up, validation, tuning, and productization plans
Build supporting tools/script/infrastructure with relevant stakeholder teams
Continuously optimize validation and productization processes and methodologies to improve overall quality and efficiency
Proactively drive and identify opportunities and methods for test strategies and validation methodology optimization, efficiency improvement and innovation based on project learnings and challenging

Skills

Key technologies and capabilities for this role

Silicon Bring-upPost-Silicon ValidationPerformance OptimizationPower OptimizationIssue DebuggingProductizationDigital DesignComputer ArchitectureTest StrategyFunctional ValidationCharacterizationTuningSLTManufacturing TestScriptingTools Development

Questions & Answers

Common questions about this position

What education and experience are required for this role?

A MS degree in EE/CE or equivalent experience is required, along with 6+ years in silicon bring-up, validation, performance/power optimization, issue debug, productization, or equivalent.

What key technical skills are needed for this position?

Strong fundamentals in digital design, computer architecture, power analysis, timing, fault analysis, statistics, and IO interface, PLL and clock are required. Deep understanding of SW/firmware and HW/SW interaction, plus basic programming skills in C/C++, Python, and Perl are also needed.

What is the compensation like at NVIDIA for this role?

NVIDIA offers competitive salaries and a generous benefits package.

What is the company culture like at NVIDIA's Silicon Solutions Group?

The SSG team is multifaceted and multi-functional with an end-to-end view of the product development cycle, featuring hardworking people collaborating in a best-in-class team environment focused on innovation in GPU and AI technology.

What soft skills are important for success in this role?

Excellent verbal communication, written and presentation skills, problem-solving, teamwork, interpersonal skills, and effectiveness in a collaborative environment are essential.

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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