Linux GPU Senior System Software Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Computer Graphics, TechnologyIndustries

Requirements

BS or MS degree or equivalent experience in Computer Engineering, Computer Science, or related degree
5+ years of meaningful software development experience in C programming skills as well as having shown initiative in pursuing independent coding projects
Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.)
Experience with Linux KMD/UMD device driver system software
Experience with AI development tools used in creating test cases, automating test cases, code coverage, triaging

Responsibilities

Design, develop and validate features, tests and/or bug fixes for our Linux Graphics Device drivers collaborating with fellow software engineers
Work with other Linux graphics engineers in the team to design and develop high quality tests and tools
Improve CI/CD pipelines and build test automation infrastructure that will improve overall developer experience
Collaborate and communicate effectively with teams from all around the globe

Skills

Key technologies and capabilities for this role

CLinuxDevice DriversLinux KernelKMDUMDVulkanOpenGLCI/CDTest AutomationGPU Drivers

Questions & Answers

Common questions about this position

What is the base salary range for this position?

The base salary range is 148,000 USD - 287,500 USD, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need a BS or MS in Computer Engineering, Computer Science, or related field, 5+ years of software development experience in C programming, familiarity with computer system architecture (caches, buses, memory controllers, DMA, etc.), experience with Linux KMD/UMD device drivers, and AI development tools for testing.

What is the company culture like at NVIDIA?

NVIDIA fosters a diverse work environment, values inquisitive people, and offers opportunities to collaborate with global teams on pioneering Linux graphics driver software.

What makes a candidate stand out for this position?

Stand out with open source contributions to the Linux kernel, Linux core/display kernel and user mode device driver experience, Linux graphics experience with Vulkan/OpenGL, and strength in complex system-level software debugging.

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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