System Level Product Development 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

Semiconductor, Technology, AIIndustries

Requirements

BSEE or MSEE degree (or equivalent experience)
8+ years of relevant product engineering work experience or similar hardware systems background
Self-motivated with strong technical, interpersonal, written/oral communication skills
Problem solving experience/ability
Ability to quickly become a strong contributor both as an individual and as a member of highly productive team
Software skills needed for large scale data analysis such as Python
Experience with HBM/GDDR memory, Power/Speed/Noise/Thermal characterization is a plus

Responsibilities

Solve complex testing challenges and develop new methodologies for reliable testing of chips at SLT
Perform characterization, yield enhancement and spec validation
Partner with other engineering groups including ASIC, DFT, ATE, silicon validation, fab process, software and quality teams to coordinate efforts and resolve silicon issues
Initiate and drive process improvements/preventative actions through root cause analysis
Improve workflows, products, functions and methodologies while working multi-functionally to achieve company goals

Skills

Key technologies and capabilities for this role

PythonHBMGDDRASICDFTATESilicon ValidationPower CharacterizationThermal CharacterizationYield EnhancementRoot Cause AnalysisData Analysis

Questions & Answers

Common questions about this position

What is the salary range for this position?

The base salary range is 160,000 USD - 253,000 USD for Level 4, and 192,000 USD - 304,750 USD for Level 5, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What skills and experience are required for this role?

A BSEE or MSEE degree (or equivalent), 8+ years of relevant product engineering or hardware systems experience, strong technical, interpersonal, and communication skills, problem-solving ability, and software skills in Python for large-scale data analysis are required.

What is the company culture like at NVIDIA?

NVIDIA fosters a diverse work environment, employs some of the world's most talented people, values creativity and autonomy, and is committed to equal opportunity without discrimination in hiring and promotion.

What makes a strong candidate for this position?

Ideal candidates have a BSEE or MSEE, 8+ years of experience, are self-motivated with strong technical and communication skills, excel at problem-solving, can contribute individually and in teams, and seek to improve workflows while working cross-functionally.

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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