Senior ASIC Verification Engineer at NVIDIA

Durham, North Carolina, United States

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductor, Technology, Artificial IntelligenceIndustries

Requirements

  • Bachelors or Masters Degree in Electrical Engineering or Computer Science or Computer Engineering or equivalent experience
  • 5+ years of relevant work or research experience
  • Strong history of working on verification methodology, creating reusable verification components
  • Knowledgeable in verification using random stimulus along with functional coverage and assertion-based verification methodologies
  • Fluency in Object Oriented Programming with C++ and/or SystemVerilog
  • Exposure to design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB), and methodologies (UVM or equivalent)
  • Strong passion for debugging and problem solving skills
  • Strong communication skills
  • Ways to stand out
  • Prior verification experience related to high speed IO protocols, or memory coherence

Responsibilities

  • Verifying the design, architecture and micro-architecture using advanced verification methodologies
  • Define the verification scope, and contribute to the development of the verification infrastructure for memory subsystem units
  • Collaborate with architects, designers, software engineers across sites to accomplish your goals

Skills

Key technologies and capabilities for this role

SystemVerilogC++UVMVCSfunctional coverageassertion-based verificationrandom stimulusOOPDebussyGDBASIC verificationmemory subsystem

Questions & Answers

Common questions about this position

What is the salary range for this Senior ASIC Verification Engineer position?

The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4, 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 and experience are required for this role?

Candidates need a Bachelor's or Master's in Electrical Engineering, Computer Science, or equivalent, plus 5+ years of relevant experience. Required skills include strong verification methodology with reusable components, random stimulus with functional coverage and assertions, fluency in OOP with C++ and/or SystemVerilog, exposure to tools like VCS and UVM, plus passion for debugging and strong communication.

What is the company culture like at NVIDIA?

NVIDIA features a dynamic, technology-focused environment with a global team of extraordinary, brilliant, and talented people pushing the frontiers of computing in areas like AI and self-driving cars. They value creativity, autonomy, and crafting high-performance, low-power silicon.

What makes a candidate stand out for this position?

Prior verification experience related to high speed IO protocols or memory coherence is a big plus. Strong problem-solving, debugging passion, and communication skills also help candidates stand out.

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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