Principal DRAM Architect – GPU Memory Solutions at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Graphics, Data Center, AutomotiveIndustries

Requirements

MS or PhD in Electrical Engineering, Computer Engineering, Physics (or equivalent experience)
15+ years of experience in DRAM or memory system architecture, with at least 5+ years focused on HBM (HBM2/2e/3/3e or next-gen)
Expertise in HBM architecture: TSV design, die stacking, interposer/CoWoS integration, refresh schemes, ECC/CRC, pseudo-channels, and thermal/power management
Proven participation in JEDEC or equivalent standards organizations, contributing to DRAM or HBM specifications
Demonstrated ability to influence DRAM vendor roadmaps, negotiate trade-offs, and enable early silicon validation
Strong understanding of I/O and PHY design fundamentals — timing, SI/PI, equalization, jitter budgeting
Proven experience balancing system-level trade-offs across performance, bandwidth, power, cost, yield, and reliability
Exceptional technical leadership and cross-functional communication skills
Ways to Stand Out
Hands-on experience with GDDR6/7 and LPDDR5/6 architectures — including bank management, signaling, power states, and error handling
Deep understanding of thermal and mechanical challenges in advanced memory packaging and 3D integration
Familiarity with emerging memory technologies (3D DRAM, MRAM, RRAM, or next-gen hybrid memory)
Publications, patents, or JEDEC leadership roles demonstrating influence on memory architecture and standards
Background in high-bandwidth computing platforms — AI, HPC, or graphics accelerators

Responsibilities

Architect next-generation DRAM solutions and NVIDIA-specific implementations — including bank and stack structures, refresh mechanisms, retention schemes, ECC/CRC, power management, and reliability optimization
Lead innovation in high-speed memory interfaces, with deep expertise in HBM PHYs (wide I/O, TSV signaling, SI/PI, timing margins) and an understanding of GDDR/LPDDR PHY architectures
Collaborate across domains on advanced packaging technologies (TSVs, interposers, CoWoS, hybrid bonding, FOWLP) to optimize DRAM–GPU co-packaging for bandwidth, power, thermal performance, and yield
Evaluate emerging DRAM process nodes (sub-1x nm, EUV, new capacitor/dielectric materials) and their impact on density, power, retention, and cost
Influence industry direction by working with DRAM vendors and actively contributing to JEDEC committees, driving next-generation memory standards and NVIDIA-specific roadmap alignment
Model and quantify system-level trade-offs in bandwidth, latency, power, cost, yield, and thermal behavior to guide architectural decisions
Mentor engineers, lead technical reviews, and shape NVIDIA’s long-term memory architecture vision

Skills

DRAM

HBM

GDDR

LPDDR

TSV

HBM PHY

SI/PI

JEDEC

CoWoS

hybrid bonding

EUV

ECC

CRC

refresh management

power management

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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