Developer Technology Engineer – LLM at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

MS or PhD from a leading University in an engineering or Computer Science related field
3+ years working experience
Strong and practical knowledge of programming techniques, and AI algorithms
Experience in large-scale language model (LLM) training or inference, including the development of LLM frameworks and performance optimization
Experience with parallel programming, ideally CUDA C/C++
Excellent communication and organization skills, with a logical approach to problem solving, good time management and task prioritization

Responsibilities

Study and develop cutting-edge techniques in deep learning, graphs, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures
Work on key applications (e.g., LLM training and inference) to understand the current and future problems they are solving, crafting and optimizing core parallel algorithms and data structures to provide the best solutions using GPUs, through both library development and direct contribution to the applications
Collaborate closely with diverse groups at NVIDIA such as the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models, by investigating the impact on application performance and developer efficiency
Travel for on-site visits with developers and to conferences

Skills

Key technologies and capabilities for this role

Deep LearningMachine LearningGraphsData AnalyticsGPU OptimizationLLM TrainingLLM InferenceParallel AlgorithmsData StructuresAI Algorithms

Questions & Answers

Common questions about this position

What education and experience are required for this role?

A MS or PhD from a leading university in engineering or Computer Science is required, along with 3+ years of working experience.

What key technical skills are needed for the Developer Technology Engineer position?

Strong knowledge of programming techniques and AI algorithms is required, with experience in LLM training or inference including frameworks and performance optimization, and parallel programming ideally with CUDA C/C++.

What is the compensation like at NVIDIA for this role?

NVIDIA offers highly competitive salaries and a comprehensive benefits package. More details are available at www.nvidiabenefits.com.

What is the work environment and culture like at NVIDIA?

You'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work, with a commitment to fostering diversity and equal opportunity.

Does this role require travel, and is the location specified?

The role involves travel for on-site visits with developers and to conferences. Specific location or remote policy details are not mentioned.

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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