GPU Driver Profiler Engineer at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Deep Learning, High Performance Computing, Gaming, AutomotiveIndustries

Requirements

B.S. EE/CS or equivalent experience with 2+ years of experience, or M.S. with 1+ years' experience, or Ph.D
Strong programming ability in C, C++, and scripting languages
Quick learner, willing to dive in where needed and debug complex code and UMD/KMD interactions
Driver experience (preferably kernel driver)

Responsibilities

Revising/updating/testing kernel interfaces and reviewing code used by the Developer Tools team
Collect requirements from software developer tools' features and work with the kernel team to co-design new interfaces
Implementation of new features as well as HAL to support new GPU architectures
Support various OS's and driver architectures: Windows WDDM, Linux Desktop, Mobile Linux and QNX
Contribute to next-gen architectures (both SW and HW)

Skills

C++

Kernel Driver

Linux Kernel

Windows WDDM

QNX

GPU Firmware

HAL

Nsight

GPU API

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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