ASIC Design Engineer, Hardware Tools and Methodology Development at NVIDIA

Austin, Texas, United States

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, TechnologyIndustries

Requirements

Bachelor’s or Master’s degree in Electrical Engineering or Computer Engineering (or equivalent experience)
3+ years of proven experience preferred
Solid understanding of fundamental digital design concepts with hands-on experience in Verilog
Proficiency in scripting using modern Python and/or Perl
Experience with Unix/Linux shell scripting and Makefiles
Strong ability to collaborate with multi-functional teams and effectively communicate technical details

Responsibilities

Develop and deploy in-house tools and workflows to support engineering business units across NVIDIA
Take ownership of tools that verify common design blocks used in all products at NVIDIA
Act as a "DevOps" engineer for automated RTL generation by developing new features and maintaining efficient operations for existing users
Build new workflows and methodologies to ensure smooth integration into various IP development environments

Skills

Verilog

Python

Perl

Unix/Linux

Shell Scripting

Makefiles

RTL

ASIC Verification

Clocks/Resets

CDC

Synthesis

Timing

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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