Power and Performance Engineer - System Memory at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors, Technology, AI, AutomotiveIndustries

Requirements

  • BS or MS degree in EE/CE or equivalent experience
  • 8+ years of experience in memory subsystem architecture, design, and validation, with a strong focus on system-level features that optimize memory power for perf-per-watt efficiency in datacenter or high-perf systems
  • Strong fundamentals in EE, digital/analog design, signal integrity, low power design, memory power management techniques, timing analysis, and architecture
  • Deep understanding of how system-level memory interacts with different IPs and SW/FW, including their impact on power, latency, and reliability
  • Experience with control systems, boot/reset flows, and memory controller micro-architecture
  • Validated hands-on lab experience with silicon bringup, lab debug, and lab tools (oscilloscopes, multimeters, logic analyzers)
  • Excellent problem-solving, teamwork, and interpersonal skills
  • Experience with Python, Perl, C/C++, Windows, and Linux is a plus
  • Prior experience in the lab with system-level post-silicon bring-up and debug is highly desired

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 - including binning, pairing, and adaptive control techniques 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
  • Expand power improvement initiatives to cover various products and market segments, including high-demand environments such as data centers. Drive scalable, power-efficient, and reliable memory system solutions across diverse platforms
  • 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 support bringup, validation, manufacturing, and customer issues on relevant features

Skills

Key technologies and capabilities for this role

Post-Silicon Bring-UpDebuggingMemory SystemsASIC DesignPower OptimizationPerf/Watt AnalysisPrototypingAdaptive ControlFirmwareSystem ValidationControllersBinningPairing

Questions & Answers

Common questions about this position

What education and experience are required for this Power and Performance Engineer role?

A BS or MS degree in EE/CE or equivalent experience is required, along with 8+ years of experience in memory subsystem architecture, design, and validation, focusing on system-level features for perf-per-watt efficiency in datacenter or high-perf systems.

What key technical skills are needed for this position?

Candidates need strong fundamentals in EE, digital/analog design, signal integrity, low power design, memory power management techniques, timing analysis, and architecture, plus experience with control systems, boot/reset flows, memory controller micro-architecture, and lab tools like oscilloscopes, multimeters, and logic analyzers.

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

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a strong candidate for this Power and Performance Engineer position?

A strong candidate will have prior hands-on lab experience with system-level post-silicon bring-up and debug, a deep understanding of memory system interactions with IPs and SW/FW impacting power, latency, and reliability, and the ability to collaborate across multi-functional teams.

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.

Land your dream remote job 3x faster with AI