Senior ASIC Design Engineer, CPU at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, TechnologyIndustries

Requirements

BS / MS in electrical / computer engineering and related or equivalent experience (Bachelors, masters, or PhDs of computer science, electronics engineering, and relevant or equivalent majors are welcome)
3+ years (MS) or 5+ years (BS) working experience on design of CPU/DSP/Vector processor or related area
Familiar with at least one CPU architecture (ARM, RISC-V, x86, Power, MIPS)
Deep understanding in Verilog

Responsibilities

Work with CPU architects, to define architecture/micro architecture for next generation of in-house RISC-V CPU
Explore solutions to improve performance, power efficiency
Build the design, make sure it meets all requirements, and deliver CPU to users

Skills

Key technologies and capabilities for this role

RISC-VVerilogCPU DesignMicro-architectureASIC DesignARMx86PowerMIPSDSP

Questions & Answers

Common questions about this position

What education and experience are required for this Senior ASIC Design Engineer role?

A BS or MS in electrical/computer engineering or related field is required, along with 3+ years (MS) or 5+ years (BS) of experience in CPU/DSP/Vector processor design. Familiarity with at least one CPU architecture like ARM, RISC-V, x86, Power, or MIPS, and deep understanding of Verilog are also needed.

What are the main responsibilities in this role?

You will work with CPU architects to define architecture/micro-architecture for next-generation RISC-V CPUs, explore solutions to improve performance and power efficiency, build the design to meet requirements, and deliver it to users.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this position?

This information is not specified in the job description.

What kind of team will I be working with at NVIDIA?

You will join a team building world-class RISC-V based embedded CPUs for NVIDIA GPU and SOC products, working with world-class CPU architects, system architects, and SW/FW users.

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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