System Software Engineer, GPU Development Tools 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, SemiconductorsIndustries

Requirements

Bachelor's or higher degree in Computer Science, Computer Engineering, or related major (or equivalent experience)
5+ years of experience
Aptitude to work across the GPU, driver, and application stacks
Strong C/C++ programming skills
Excellent interpersonal skills
Ability to multi-task
Some familiarity with a scripting language, such as Python or Perl
Flexibility for working in an evolving environment with different frameworks and requirements
Ways to stand out (Preferred)
Know-how working on operating system kernels or writing device drivers with strong systems-level debugging skills
Knowledge of GPU APIs such as DirectX, CUDA, Vulkan or OpenGL
Experience with chip and/or system simulation
Deep understanding of systems architecture: CPU, GPU, memory, display, buses, kernel internals
Advanced programming expertise with full-stack web based visualization technologies to help provide data insights

Responsibilities

Improve the daily workflows of the world’s top chip modelers and designers to help produce the next greatest generation of GPUs
Empower GPU architects to understand application performance today and model competition-destroying performance for tomorrow
Coordinate with architecture and software teams to enable functional and performance testing for the next architecture
Develop high-level chip models, test APIs and trace generation workflows, and analysis tools
Engineer and improve the core infrastructure for execution, automation, and debugging the development of large-scale, general-purpose graphics and computing chips
Play a critical part in every stage of development of a GPU

Skills

C++

Python

Perl

Operating System Kernels

Device Drivers

Systems Debugging

GPU Development

Scripting

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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