Senior ASIC Verification Engineer at NVIDIA

Austin, Texas, United States

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

Requirements

  • Bachelor’s or Master’s degree in Computer or Electrical Engineering (or equivalent experience) with 3 years of relevant experience
  • Proficient with System Verilog, UVM required and OOPS based programming
  • Strong coding skills in Python or other industry-standard scripting languages
  • Strong understanding of RTL design (Verilog)
  • Good understanding of computer architecture fundamentals
  • Familiarity with verification tools such as VCS or equivalent simulation tools, and debug tools like Verdi

Responsibilities

  • Design and maintain the unit level/sub-system Verification environment
  • Understand the architecture specifications, develop and carry out the test plan to verify the design
  • Create UVM components, sequences, tests and scoreboards
  • Sign off on the verification efforts with very high-quality code and functional coverage
  • Launch regressions, resolve the issues, and make forward progress towards achieving the DV milestone targets
  • Automate the manual steps involved in launching build, regression, and triage
  • Collaborate with architects, designers, and software engineers to achieve project goals
  • Proactively contribute to improving the efficiency of the testbenches by embracing the latest techniques
  • Responsible for end-to-end verification of IPs, ensuring the highest quality delivery

Skills

Key technologies and capabilities for this role

UVMRTLASIC VerificationFunctional CoverageScoreboardsTest SequencesRegressionsTestbenchesSystemVerilog

Questions & Answers

Common questions about this position

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

The base salary range is $136,000 USD, determined based on location, experience, and pay of employees in similar positions.

What benefits does NVIDIA offer?

NVIDIA offers a generous benefits package along with industry-leading salaries.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need a Bachelor’s or Master’s in Computer or Electrical Engineering with 3 years of relevant experience, proficiency in System Verilog, UVM, and OOPS-based programming, strong coding skills in Python or similar, strong RTL design understanding (Verilog), computer architecture fundamentals, and familiarity with tools like VCS and Verdi.

What kind of candidate is NVIDIA looking for?

NVIDIA seeks creative and autonomous engineers with a real passion for technology, verification methodologies, and a drive to improve testbenches using the latest techniques.

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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