Senior ASIC Verification Engineer - GPU at NVIDIA

Toronto, Ontario, Canada

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

Requirements

  • Bachelors Degree in EE, CS or CE or equivalent experience
  • 5+ years of relevant experience
  • Experience in verification using random stimulus along with functional coverage and assertion-based verification methodologies
  • Experience with design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB)
  • Expertise in System Verilog or similar HVL
  • Strong debugging and analytical skills
  • Perl and C/C++ programming language experience desirable
  • Prior experience with arbiters, interconnect networks and/or caches is desirable
  • Strong communication skills and ability & desire to work as a great teammate are huge plus
  • Experience in crafting test bench environments for unit and system level verification

Responsibilities

  • Verify the design and implementation of the industry's leading GPUs
  • Verify the ASIC design, architecture, golden models and micro-architecture using advanced verification methodologies such as UVM
  • Understand the design and implementation of your unit
  • Define the verification scope
  • Develop the verification infrastructure
  • Verify the correctness of the design
  • Collaborate with architects, designers, and pre and post silicon verification teams to accomplish your tasks

Skills

Key technologies and capabilities for this role

UVMSystemVerilogVCSDebussyGDBPerlC++Functional CoverageAssertionsASIC VerificationRandom Stimulus

Questions & Answers

Common questions about this position

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

The base salary range is 105,000 CAD - 221,000 CAD, determined based on location, experience, and pay of employees in similar positions. Candidates are also eligible for equity and benefits.

Is this Senior ASIC Verification Engineer role remote or office-based?

This information is not specified in the job description.

What skills and experience are required for the Senior ASIC Verification Engineer role?

Required qualifications include a Bachelor's Degree in EE, CS, or CE, 5+ years of relevant experience, expertise in System Verilog or similar HVL, experience with verification using random stimulus, functional coverage, and assertion-based methodologies, and use of tools like VCS, Debussy, or GDB. Strong debugging, analytical skills, and communication are also needed, with Perl, C/C++, and experience in arbiters, interconnects, or caches desirable.

What is the company culture like at NVIDIA for this GPU ASIC Verification team?

NVIDIA features a dynamic, technology-focused environment with forward-thinking, hardworking people globally, emphasizing teamwork, creativity, autonomy, and pushing frontiers in computing, graphics, and AI.

What makes a strong candidate for the Senior ASIC Verification Engineer position at NVIDIA?

Strong candidates have 5+ years of experience in ASIC verification using UVM, System Verilog, random stimulus, functional coverage, and assertions, plus strong debugging skills, tool proficiency, and the ability to collaborate across teams. Desirable traits include experience with Perl/C++, interconnects/caches, excellent communication, and a passion for challenges in GPU verification.

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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