Senior LLM Train Framework Engineer at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

MS, PhD or equivalent experience in Computer Science, AI, Applied Math, or related fields and 5+ years of industry experience
Experience with AI train frameworks (e.g., PyTorch, JAX), and/or inference and deployment environments (e.g., TRTLLM, vLLM, SGLang)
Proficiency in decentralized instruction
Proficient in Python programming, software development, debugging, performance analysis, test composition, and documentation
CUDA or collective programming skills are a big plus
Consistent record of working effectively across multiple engineering initiatives and improving AI libraries with new innovations
Strong understanding of AI/Deep-Learning fundamentals and their practical applications

Responsibilities

Build and develop open source Megatron Core
Address extensive AI training and inference obstacles, covering the entire model lifecycle including orchestration, data pre-processing, conducting model training and tuning, and deploying models
Work at the intersection of AI applications, libraries, frameworks, and the entire software stack
Spearhead advancements in model architectures, distributed training strategies, and model parallel approaches
Enhance the pace of foundation model training and optimization through mixed precision formulas and advanced NVIDIA GPU structures
Performance tuning and optimizations of deep learning framework and software components
Research, prototype, and develop robust and scalable AI tools and pipelines

Skills

PyTorch

JAX

TRTLLM

vLLM

SGLang

Python

CUDA

Megatron Core

distributed training

model optimization

mixed precision

performance tuning

collective programming

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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