Senior System Software Engineer - CUDA Driver 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, GPU Computing, AIIndustries

Skills

Key technologies and capabilities for this role

CCUDAsystems softwareoperating systemsthreadsprocess controlvirtual memoryHW/SW co-designperformance modelingemulationsimulationGPU driverskernel mode drivers

Questions & Answers

Common questions about this position

What education and experience are required for this Senior System Software Engineer role?

A Bachelor of Science or Master of Science degree in Computer Science, Electrical Engineering, or related field (or equivalent experience) is required, along with 8+ years of relevant systems software development experience.

What are the key skills needed for this position?

Strong C programming skills, experience designing, debugging, and maintaining complex software stacks, background with operating system interfaces for threads, process control, and virtual memory, and experience with HW/SW co-design and performance modeling are essential.

What does the day-to-day work involve for this role?

You will evangelize, architect, and implement new CUDA features, oversee development efforts across multiple teams, collaborate with hardware architecture teams, define improvements to CUDA APIs, design performance modeling, and write effective code for multiple operating systems.

What soft skills are important for success in this role?

Expert interpersonal, verbal, and written communications skills, the capability to achieve objectives under tight deadlines, and strong collaborative skills to guide and influence in a dynamic matrix environment are required.

What experience would make me stand out as a candidate?

Understanding of system level architecture like interconnects and memory hierarchy, designing drivers for HW acceleration, knowledge of CPU/GPU architectures and memory models, kernel mode development, and familiarity with C++ would 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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