Senior Memory Post Silicon Qualification 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

SemiconductorIndustries

Requirements

B. Tech or M. Tech in Electronics Engineering or equivalent experience
8+ years of experience in the semiconductor industry with a minimum of 2 years in memory interface validation
Strong understanding of the protocol for DRAM types like GDDR/LPDDR
Familiarity with HW lab environment and understanding of lab equipment like DMM, Oscilloscope, thermal solutions, etc
Background in understanding PCB stack-up, board layouts, power planes, and SI guidelines
Experience in writing lab automation scripts using C/Python/Perl
A strong standout colleague; self-motivated with great interpersonal skills

Responsibilities

Bring up a high-speed memory interface on complex chips like GPUs and SoCs
Functional validation, IO tuning, and PVT testing of the memory controller and DRAM to pave the way for successful silicon productization
Optimizing Memory IO settings to support multiple memory configurations involving different types of DRAMs and vendors
Identify any functional issues, perform root-cause analysis, and drive closure of the issues found. Coordinate with design, arch, and board teams, where required
Collaborate with the pre-Si team to understand the new features and create appropriate validation test plans
Cross-team collaboration with teams from logic design, circuit design, architects, PCB, and software engineers to ensure successful product development with aggressive product cycles

Skills

Key technologies and capabilities for this role

DRAMGDDRLPDDRmemory interfaceIO tuningPVT testingfunctional validationmemory controllerroot-cause analysisOscilloscopeDMMGPUSoC

Questions & Answers

Common questions about this position

What is the salary for this Senior Memory Post Silicon Qualification Engineer position?

This information is not specified in the job description.

Is this position remote 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?

Candidates need a B. Tech or M. Tech in Electronics Engineering or equivalent, 8+ years in the semiconductor industry with at least 2 years in memory interface validation, strong understanding of DRAM protocols like GDDR/LPDDR, familiarity with HW lab equipment, PCB knowledge, and experience writing lab automation scripts in C/Python/Perl.

What is the company culture like at NVIDIA?

NVIDIA has a diverse culture that makes it one of the most fun, innovative, and dynamic places to work, with some of the brightest people in the world collaborating on groundbreaking technology.

What makes a strong candidate for this position?

A strong candidate is a self-motivated standout colleague with great interpersonal skills, backed by the required technical experience in memory validation and lab environments.

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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