Full-Time

System Memory Performance and Power Engineer

Posted on 4/15/2025

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Compensation Overview

$168k - $310.5k/yr

+ Equity

Senior, Expert

Company Historically Provides H1B Sponsorship

Santa Clara, CA, USA

Hybrid work arrangement; specific in-office days not mentioned.

Category
Control Systems Engineering
Embedded Systems Engineering
Electrical Engineering
Requirements
  • BS or MS degree in EE/CE or equivalent experience.
  • 8+ years of experience in memory interface or subsystem architecture, design, and validation.
  • Strong fundamentals in EE, digital/analog design, signal integrity, low power design, timing analysis, and architecture.
  • A deep understanding of system-level memory interaction with different IPs and SW/FW is crucial.
  • Validated hands-on lab experience with silicon bringup, lab debug and lab tools (oscilloscopes, multimeters, logic analyzers).
  • Excellent problem-solving, teamwork, and interpersonal skills.
Responsibilities
  • Build roadmaps of memory system-level features to address low power, low noise, perf/watt efficient, and stable/reliable product needs by doing prototyping, use case analysis, and system level cost/benefit tradeoff.
  • Architect, design, and integrate memory system-level features, controllers, and policies based on the roadmap to optimize product performance, power, and reliability/stability.
  • Collaborate with architecture, ASIC, board/platform design, software/firmware, marketing, and other multi-functional teams to drive architecture, design, and debug.
  • Keep track of the latest industry direction, market needs, and technology development; incorporate them into future roadmaps to build more competitive products.
  • Lead debug, craft WARs, and supporting bringup, validation, manufacturing, and customer issues on relevant features.
Desired Qualifications
  • Experience with control systems, boot/reset flows, micro-architecture, and system architecture is highly valuable.
  • Experience with Python, Perl, C/C++, Windows, and Linux is a plus.

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 main products are GPUs that enhance gaming experiences and support professional applications, along with AI and high-performance computing platforms tailored for developers and data scientists. NVIDIA stands out from competitors by offering a combination of hardware and software solutions, including cloud-based services like NVIDIA CloudXR and NGC, which enable scalable applications in AI and machine learning. The company's goal is to drive innovation in technology and provide advanced solutions that cater to a wide range of clients, from gamers to enterprises.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of Lepton AI enhances NVIDIA's cloud service offerings and AI market position.
  • Investment in nEye Systems aligns with improving data transfer efficiency in data centers.
  • Backing SandboxAQ suggests strategic interest in quantum computing for future AI innovations.

What critics are saying

  • Emerging competition from startups like nEye Systems challenges NVIDIA's AI hardware dominance.
  • Integration challenges may arise from acquiring Lepton AI with its distinct focus.
  • Investment in SandboxAQ may not yield immediate returns due to nascent quantum technology.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU technology.
  • The company excels in gaming and professional visualization markets with innovative solutions.
  • NVIDIA's cloud services, like CloudXR, offer scalable AI and machine learning applications.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

1%

2 year growth

-1%
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