Full-Time

Senior Digital Design Verification Engineer

Hardware

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$136k - $310.5kAnnually

+ Equity

Senior

Company Historically Provides H1B Sponsorship

Santa Clara, CA, USA

Category
Hardware Engineering
Hardware Validation & Testing

You match the following NVIDIA's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Bachelors or Masters Degree (or equivalent experience) in Electrical Engineering, Computer Science, or Computer Engineering
  • At least 5 years of validated experience
  • Background in verification at Unit/Sub-system/SOC level and expertise in SystemVerilog
  • Experience using random stimulus along with functional coverage and assertion-based verification methodologies
  • Experience in verification methodologies like UVM/VMM and exposure to industry standard verification tools for simulation and debug.
Responsibilities
  • Verification of the digital design, golden models and micro-architecture of the SerDes IPs using advanced verification methodologies such as UVM
  • Build reusable bus functional models, monitors, checkers and scoreboards following coverage driven verification methodology
  • Responsible for understanding the design and implementation, define the verification scope, develop the verification infrastructure and verify the correctness of the design
  • Write and implement test plan and thoroughly verify a design in a product shipment focused / compressed schedule
  • Work with architects, designers, and pre and post silicon verification teams to accomplish your tasks.
Desired Qualifications
  • Expertise in bus or interconnect protocols (e.g. PCI Express, USB, SATA) a huge plus
  • Experience in verifying complex SerDes system, understanding mixed-signal designs, and have experience in modeling of analog circuits a huge plus
  • Perl, Python, C/C++ programming language experience
  • Good debugging and analytical skills
  • Good interpersonal skills & dream to work as a phenomenal teammate.

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 hardware sales, software licenses, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance applications in AI, machine learning, and computer vision. Unlike many competitors, NVIDIA focuses heavily on research and development to maintain its leadership in technology and innovation. The company's goal is to drive advancements in AI and computing to provide effective solutions for a wide range of clients, from gamers to enterprises.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of VinBrain enhances NVIDIA's AI-driven healthcare solutions.
  • Investment in Nebius Group boosts NVIDIA's AI infrastructure capabilities.
  • Partnership with Serve Robotics aligns with NVIDIA's focus on robotics and AI applications.

What critics are saying

  • Increased competition from AI startups like xAI challenges NVIDIA's market position.
  • Serve Robotics' rapid expansion may lead to financial strain if market growth lags.
  • Integration challenges from VinBrain acquisition may affect NVIDIA's operational efficiency.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
  • The Omniverse platform enhances NVIDIA's capabilities in industrial AI and digital twins.
  • NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

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Benefits

Company Equity

401(k) Company Match