Senior Custom Silicon Design Engineer at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, AI, Automotive, Telecommunications, Cloud Computing, GamingIndustries

Requirements

B.S. or M.S. in Computer Engineering or Electrical Engineering (or equivalent experience)
9+ years of relevant work experience in RTL development focused on CPU, GPU, and high-performance architectures
Proficiency in industry-standard RTL development and synthesis tools
Experience developing high-speed digital blocks
Experience debugging complex microarchitectural structures
Strong interpersonal, communication, and teamwork skills
A drive to continuously learn and expand architectural breadth and depth
Ability to evaluate microarchitectural options for tradeoffs across design, verification, and PD
Experience interconnecting and analyzing complex microarchitectural structures and subsystems
Ways to stand out
Cross-cultural work and study experience
Experience in ARM-based SOC definition and development
Background in partner and customer engagement for usecase/chip solution
Experience in some of domains: SOC clock implementation, power structure insertion, DFT, synthesis, place and route, and STA

Responsibilities

Working with customers, partners, and IP vendors to understand SOC/IP solutions best suited for the target use cases and work with them to select and integrate appropriate IP/SOC solutions
Work with Architects, Chip Leads, and Customers on SOC/IP design, development, timing closure, power analysis, methodology alignment, and program execution to ensure pre-silicon and post-silicon targets are met
Integrating, evolving, and optimizing IP blocks across a range of products and use cases for NVIDIA SoCs in AI, driving, 6G, cloud, gaming, and other applications
Working with teams throughout the company (Architects, RTL, PD, Circuit, SI, Thermal, SW, Platform, Operations, Marketing, etc...) on implementing cross-team solutions to achieve project targets
Drive cross-team methodologies for external soft IP and PHY integration, Nvidia IP release to partner, RTL development and microarchitecture

Skills

RTL development

SystemVerilog

Verilog

synthesis tools

timing closure

power analysis

SoC integration

IP integration

high-speed digital design

microarchitecture

CPU

GPU

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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