Senior System Software Engineer, GPU Virtualization at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Semiconductors, AIIndustries

Requirements

BS degree or higher or equivalent experience (computer science or related)
12+ years of industry experience
In depth understanding of Windows or Linux device drivers, PC architecture and ability to work close to the hardware
Proficient in C/C++ with strong software development, optimization and analytical skills
Strong debugging skills and extensive experience using gdb/kgdb/windbg to analyze complex pieces of software
Strong articulation skills for crafting and improving technical documents, and to engage globally distributed engineering team

Responsibilities

Work closely with passionate engineers to design, develop, optimize, debug, unit test, document and maintain next-generation graphics and computing features for NVIDIA GPUs
Work on next-generation GPU hardware and software features through all phases of development, across user and kernel stacks
Work on customer issues and provide timely root cause of the problem and resolution
Collaborate with many internal teams (software, hardware, architecture, QA and OEM support), partners and customers to define new products and features, and resolve issues

Skills

C/C++

Linux device drivers

Windows device drivers

PC architecture

gdb

kgdb

windbg

GPU Virtualization

Virtualization

ESX

Hyper-V

system software

kernel stacks

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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