Compute Architecture Software Engineer at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, TechnologyIndustries

Requirements

5+ working years' experience in software engineering, particularly in GPU programming and LLM inference
Strong proficiency in programming languages such as Python, C++, and CUDA
Solid understanding of deep learning frameworks and techniques
Outstanding problem-solving skills and the ability to work collaboratively in a team setting
Ambitious approach with a proven track record of taking initiative and delivering results
BS or above degree in Computer Science, Engineering, or a related field, or equivalent experience

Responsibilities

Develop and optimize software solutions to accelerate LLM inference using GPU technology
Collaborate closely with a world-class team of engineers to implement and refine GPU-based algorithms
Analyze and determine the most effective methods to improve performance, ensuring seamless execution across diverse computing environments
Engage in both individual and team projects, contributing to NVIDIA's mission of leading the AI revolution
Work in an empowering and inclusive environment to successfully implement groundbreaking AI solutions

Skills

Python

C++

CUDA

GPU programming

LLM inference

deep learning frameworks

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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