Lead Post-Silicon Validation Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, AI, HPC, AutomotiveIndustries

Requirements

Bachelors or Masters in Electrical Engineering, Computer Engineering or related fields (or equivalent experience)
12+ years of proven experience with three years working with memory systems in the lab
Direct experience in taking an SOC/GPU from concept level to production
Experience in DRAM, high speed DRAM Interfaces like HBM, GDDR and LPDDR and their timing, analog, and digital requirements
In Pre-Silicon phase, work with the design and verification teams to define features required for smooth bringup and productization
In Post-Silicon phase, bring the GPU from initial power-on through production
Ability to understand the Top N issues in a myriad of data
Ability to facilitate and make decisions looking at all the spokes in a decision wheel
Excellent written, verbal and technical communications

Responsibilities

Manage and help lead post-silicon bringup, characterization, and productization of the memory system for NVIDIA's GPU products
Develop, qualify, and work on compliance of memory system software and firmware
Be the primary contact for customers internal and external, and DRAM vendors for silicon issues relating to memory
Contribute through the GPU development cycle from concept, Plan of Record, Architecture, Micro-architecture, design, validation, physical design and tape out

Skills

Key technologies and capabilities for this role

Post-Silicon ValidationDRAMHBMGDDRLPDDRGPUMemory SystemsFirmwareSOC BringupSilicon BringupHigh-Speed InterfacesLab TestingMicro-architectureVerification

Questions & Answers

Common questions about this position

What is the salary range for this position?

The base salary range is 192,000 USD - 368,000 USD, determined based on location, experience, and the pay of employees in similar roles.

Is this role remote or does it require office work?

This information is not specified in the job description.

What are the key required skills for this Lead Post-Silicon Validation Engineer role?

Candidates need 12+ years of experience with three years working with memory systems in the lab, direct experience taking SOC/GPU from concept to production, and expertise in DRAM interfaces like HBM, GDDR, and LPDDR including their timing, analog, and digital requirements.

What is the company culture like at NVIDIA?

NVIDIA is a dynamic, hard-working team that continuously reinvents itself, evolving as a 'learning machine' to tackle challenging opportunities in GPU and AI technology, with a focus on amplifying human imagination and intelligence.

What makes a candidate stand out for this role?

Stand out with experience working with DRAM vendors to debug post-silicon issues, a proven record of implementing processes and methodologies, and System C or C++ development 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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