Full-Time

Senior Design for Debug Architect and Methodology Engineer

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

$164k - $258.8kAnnually

+ Equity

Senior, Expert

Austin, TX, USA + 1 more

More locations: Santa Clara, CA, USA

Category
Hardware Engineering
Hardware Validation & Testing
System Hardware Engineering
Required Skills
Verilog
Python
JavaScript
TypeScript
C/C++
Requirements
  • Bachelors Degree or equivalent experience in Electrical Engineering, Computer Engineering or Computer Science.
  • 8+ years of meaningful work experience.
  • Experience in Computer Architecture and RTL development (Verilog), focused on arbiters, scheduling, synchronization & bus protocols, interconnect networks and/or caches.
  • Expertise in design for debug techniques and methodologies, integrated logic analyzers and/or other silicon visibility tools.
  • Great understanding of ASIC design flow including RTL design, verification, logic synthesis, timing analysis and bringup.
  • Strong interpersonal skills and an excellent teammate.
  • Strong C/C++, Python, Typescript or Javascript skills.
  • Good debugging and analytical skills.
Responsibilities
  • As a key member of the GPU DFD team, you will architect and implement silicon debug capabilities and infrastructure for our GPUs.
  • Identify debug inefficiencies and deficiencies.
  • Drive exploration of silicon debug features, specify the architecture and track execution by collaborating with many other teams at NVIDIA.
  • Work closely with software, architecture, design, verification, and silicon validation teams.
  • Train and mentor junior engineers and the team in silicon debug.
  • Review new features from a DFD perspective to improve GPU debuggability.
  • Help verify DFD hardware at full-chip level.

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.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

9%

1 year growth

27%

2 year growth

45%
Simplify Jobs

Simplify's Take

What believers are saying

  • NVIDIA's investment in Ayar Labs boosts scalable AI infrastructure with optical interconnect solutions.
  • Acquiring VinBrain enhances NVIDIA's AI capabilities in healthcare and smart city applications.
  • Participation in Nebius Group's funding expands NVIDIA's AI infrastructure across continents.

What critics are saying

  • Increased competition from Ayar Labs challenges NVIDIA's AI hardware market position.
  • VinBrain acquisition may face integration challenges, affecting operational efficiency.
  • Investment in Nebius Group could lead to internal competition for resources and market share.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU and SoC technologies.
  • The company excels in diverse markets: gaming, data centers, and autonomous vehicles.
  • NVIDIA's cloud services, like CloudXR, enhance scalable AI and machine learning applications.

Help us improve and share your feedback! Did you find this helpful?