Senior System and Scheduling Architect – GPU at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial Intelligence, SemiconductorIndustries

Requirements

BS or MS in Compute Architecture, Computer Science, or Electrical Engineering (or related degree) or equivalent experience
8+ years of meaningful work experience
Work experience coding in C or C++

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++PythonPerlCUDAPCIeNVLinkAXICXLOpenGLDirectXComputer ArchitectureOperating Systemsprocess schedulingfirmwarememory isolation

Questions & Answers

Common questions about this position

What is the salary range for this position?

The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this role remote or hybrid?

This is a hybrid role.

What are the required qualifications for this role?

Candidates need a BS or MS in Compute Architecture, Computer Science, or Electrical Engineering (or equivalent), 8+ years of meaningful work experience, experience coding in C or C++, and coursework or industry experience in Computer Architecture, Operating Systems, and/or system architecture.

What is the company culture like at NVIDIA?

NVIDIA has a dynamic, technology-focused environment with forward-thinking and hardworking people from around the globe, pushing the frontiers of AI, consumer graphics, and self-driving cars while fostering diversity and equal opportunity.

What makes a candidate stand out for this role?

Knowledge of memory isolation and security, firmware, process scheduling, OpenGL, DX, CUDA, DL/ML, PCIe, AXI, NVLink, CXL, and/or Perl or Python will help candidates 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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