Senior SoC Design 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

AI, Automotive, Gaming, 5G, Cloud, Networking, SemiconductorsIndustries

Requirements

Master's Degree in Electrical Engineering or Computer Engineering (or equivalent experience)
10+ years of relevant work experience in RTL development passionate about CPU, GPU, and HPC architectures
Proven experience building sophisticated micro-architectural structures and working with industry standard components/protocols for compute, fabric, memory, and attached devices
Strong background in RTL design developing high-speed digital blocks
Experience in negotiating solutions across design, verification, PD, and IP teams
Experience working with UCIe/CXL/PCIe/D2D/Serdes is a plus
Strong interpersonal, communication, and teamwork skills

Responsibilities

Work in NVIDIA's semi-custom engineering team building customized chip solutions targeting data center/cloud, AI, self-driving, 5G, gaming, and consumer use cases
Collaborate with architects, designers, and customers to define efficient microarchitectures and evaluate design trade-offs
Understand and help drive implementation of bus protocols, networking protocols, memory access, and security solutions across a range of products and use cases for NVIDIA SoCs in automotive, gaming, 5G, cloud, networking, and other spaces
Work closely with architects, chip leads, and customers on SoC IP design, timing closure, power analysis, methodology alignment, and program execution, ensuring success from pre-silicon through post-silicon stages
Partner with clients, partners, and IP vendors to identify suitable IP solutions for specific use cases and assist in selecting, designing, and integrating the right IP solutions

Skills

SoC Design

RTL Development

Bus Protocols

Networking Protocols

Memory Access

Security Solutions

Timing Closure

Power Analysis

CPU Architecture

GPU Architecture

HPC

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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