ASIC Verification Engineer at NVIDIA

Shanghai, China

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

Requirements

  • BS / MS in electrical / computer engineering or related field with 1+ years of ASIC verification experience
  • Unit/Sub-system/SOC level verification experience
  • Strong programming skills in Perl/Python and C/C++, Verilog or SV
  • Proven knowledge/experience with industry standard verification tools for simulation and debug
  • Confirmed debugging and strong analytical skills
  • Familiar with verification methodology, tools and flow
  • Understand ASIC design and timing
  • Validated excellent interpersonal skills
  • Fluent English (both written and spoken) and excellent communication skills (preferred)
  • Good team work spirit, easy to cooperate with team members (preferred)

Responsibilities

  • Develop test plans, tests and verification infrastructure for verifying high-speed Clocking logic, including function, DFT, circuit, power, physical design constraints, etc
  • Comprehend the functional, test and timing modes for clocks RTL and verify the modes before RTL delivery
  • Collaborate with other verification engineers and provide creative solutions to reuse programming sequences across various verification hierarchies
  • Build verification environment using SV/UVM methodology
  • Build reusable bus functional models, monitors, checkers and scoreboards
  • Drive coverage driven verification closure
  • Work with architects, designers and post-silicon teams
  • Methodology development for above tasks

Skills

Key technologies and capabilities for this role

SystemVerilogUVMPythonPerlC++VerilogASIC VerificationDFTCoverage Driven VerificationClocking LogicSOC Verification

Questions & Answers

Common questions about this position

What experience level is required for this ASIC Verification Engineer role?

A BS/MS in electrical/computer engineering with 1+ years of ASIC verification experience is required, including unit/sub-system/SOC level verification.

What programming skills are needed for this position?

Strong programming skills in Perl/Python and C/C++, Verilog or SV are required.

What verification methodologies and tools are used?

The role involves building verification environments using SV/UVM methodology, along with industry standard verification tools for simulation and debug.

What is the team structure like for the GPU clocks group?

The team is responsible for crafting all aspects of GPU clocking, collaborating with frontend design and backend teams, and works with architects, designers, and post-silicon teams.

What makes a candidate stand out for this role?

Candidates stand out with excellent analytical and problem-solving skills, experience in UVM, prior knowledge in Clocking/Resets verification/DFT, fluent English, and strong teamwork spirit.

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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