Senior GPU PCIe and Boot Architect at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, Technology, AIIndustries

Requirements

BS or MS in compute architecture, Computer Science, or Electrical Engineering (or related degree) or equivalent experience
8+ years of experience crafting production code in C or C++
Course work or industry experience in Computer Architecture, Operating Systems, and/or system architecture
Ways to stand out
Knowledge of Advanced interconnects (PCIe, AXI, nvlink, or similar)
Experience with scripting languages such as Perl
Understanding of modern security constructs and/or encryption
Knowledge of RiscV architecture and microcode development

Responsibilities

Understand how the GPU sub-system modules interoperate and interact with overall system
Architect and plan features in concert with software, hardware, and verification teams across the globe to implement the next iteration of GPUs
Create functional and performance models, often in C++, along with test plans to validate the features you design
Actively support post-silicon validation activities
Constantly learning and growing

Skills

Key technologies and capabilities for this role

C++PCIeCXLComputer ArchitectureOperating SystemsSystem ArchitectureRiscVAXInvlinkPerlMicrocode

Questions & Answers

Common questions about this position

What is the base salary range for this position?

The base salary range is 184,000 USD - 287,500 USD, determined based on location, experience, and pay of employees in similar positions.

What is the work arrangement for this role?

This is a hybrid position.

What are the required qualifications for this role?

Candidates need a BS or MS in computer architecture, Computer Science, or Electrical Engineering (or equivalent), 8+ years of experience crafting production code in C or C++, and coursework or industry experience in Computer Architecture, Operating Systems, and/or system architecture.

What is the team and culture like at NVIDIA for this role?

The team consists of extraordinary people around the globe pushing the frontiers of computing, in a dynamic, technology-focused company impacting consumer graphics, self-driving cars, and AI. NVIDIA seeks creative and autonomous individuals who love creating the highest performance chips.

What experience will make me stand out for this position?

Knowledge of advanced interconnects like PCIe, AXI, or NVLink, experience with scripting languages such as Perl, understanding of modern security constructs or encryption, and knowledge of RISC-V architecture and microcode development will help you stand out.

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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