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

Key technologies and capabilities for this role

VerilogPythonPerlUnix/LinuxShell ScriptingMakefilesRTLASIC VerificationClocks/ResetsCDCSynthesisTiming

Questions & Answers

Common questions about this position

What is the salary range for this position?

The base salary range is 108,000 USD - 184,000 USD for Level 2, and 136,000 USD - 212,750 USD for Level 3, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this position remote or hybrid?

This is a hybrid position.

What skills are required for this ASIC Design Engineer role?

Required skills include a Bachelor’s or Master’s degree in Electrical Engineering or Computer Engineering (or equivalent), 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, and strong collaboration and communication skills.

What is the company culture like at NVIDIA?

NVIDIA has forward-thinking and hardworking people, values creativity, autonomy, constant innovation, and creating the highest performance products in the industry, while fostering a diverse work environment.

What makes a candidate stand out for this role?

Candidates stand out with prior experience in ASIC verification, knowledge of Clocks/Resets design and verification, exposure to CDC related design/verification flows, and exposure to backend flows like Synthesis and 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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