Senior ASIC Verification Engineer - GPU at NVIDIA

Hillsboro, Oregon, United States

NVIDIA Logo
$168,000 – $310,500Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Semiconductor, Artificial IntelligenceIndustries

Requirements

  • BS or MS in Electrical Engineering or Computer Engineering (or equivalent experience)
  • 8+ years of verification experience
  • Strong proficiency in SystemVerilog
  • Experience with test planning and coverage closure
  • Test bench design skills
  • Understanding of object-oriented programming concepts
  • Strong communication skills
  • Ability and desire to work as a team player
  • Good debugging and problem-solving skills

Responsibilities

  • Develop and maintain unit-level testbenches
  • Create directed and random tests and test infrastructure
  • Contribute to the future direction of the testbench methodology
  • Partner closely with RTL and architecture teams to refine microarchitecture plans
  • Architect and plan the verification strategy and execution for sub-system features
  • Support post-silicon validation activities

Skills

Key technologies and capabilities for this role

SystemVerilogUVMSemiformal Verificationassertion-based verificationSystemVerilog checkersscoreboardstest planningcoverage closuretestbench designPythonPerlobject-oriented programming

Questions & Answers

Common questions about this position

What is the salary range for the Senior ASIC Verification Engineer role?

The base salary range is $168,000 - $310,500 USD.

Is this position remote or hybrid?

The position is hybrid.

What technical skills are required for this role?

Required skills include strong proficiency in SystemVerilog, experience with test planning and coverage closure, test bench design skills, understanding of object-oriented programming concepts, and strong communication skills.

What is the company culture like at NVIDIA?

NVIDIA is known for its forward-thinking and hardworking employees, commitment to fostering a diverse work environment, and is an equal opportunity employer.

What makes a candidate stand out for this position?

Candidates stand out with experience in assertion-based verification, Semiformal Verification (SFV), Unified Verification Methodology (UVM), SystemVerilog checkers, and scoreboards; knowledge of Perl or Python; experience with multiple verification methodologies; and leadership experience.

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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