Senior Design for Debug Architect and Methodology Engineer at NVIDIA

Santa Clara, California, United States

Apply Now

$168,000 – $264,500Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, Technology, Artificial IntelligenceIndustries

Requirements

Bachelor’s 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)
Expertise in design for debug techniques and methodologies
Understanding of ASIC design flow (RTL design, verification, logic synthesis, timing analysis, and bringup)
Knowledge of arbiters, scheduling, synchronization & bus protocols, interconnect networks, and/or caches
Strong interpersonal skills
Excellent teamwork abilities

Responsibilities

Architect and implement silicon debug capabilities and infrastructure for GPUs
Identify debug inefficiencies and deficiencies
Drive exploration of silicon debug features and specify architecture, tracking execution through collaboration with various teams
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

Skills

Key technologies and capabilities for this role

VerilogRTLComputer ArchitectureDesign for DebugASIC Design FlowLogic SynthesisTiming AnalysisBus ProtocolsInterconnect NetworksCachesGPUSoC

Questions & Answers

Common questions about this position

What is the salary range for this position?

The base salary range is $168,000 - $264,500 USD.

Is this role remote or does it require office work?

This information is not specified in the job description.

What technical skills are required for this role?

Required skills include experience in Computer Architecture and RTL development (Verilog), expertise in design for debug techniques and methodologies, understanding of ASIC design flow, and knowledge of arbiters, scheduling, synchronization & bus protocols, interconnect networks, and/or caches.

What is the company culture like at NVIDIA?

NVIDIA values creativity, autonomy, and a willingness to tackle challenges, and is committed to fostering a diverse work environment as an equal opportunity employer.

What makes a strong candidate for this position?

Strong candidates will have a Bachelor’s Degree in Electrical Engineering, Computer Engineering, or Computer Science, 8+ years of experience, expertise in computer architecture, RTL (Verilog), design for debug, ASIC flows, strong interpersonal skills, and excellent teamwork abilities.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free