Developer Technology Engineer, AI at NVIDIA

Beijing, China

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, HPCIndustries

Requirements

BS, MS, or PhD degree from a leading university in an engineering or computer science related field (or equivalent experience)
Domain expertise in LLM, CTR, CV, or HPC (helpful but not required)
3+ years experience with programming proficiency in C/C++ and/or Python, deep understanding of software design, programming techniques, and algorithms
2+ years experience with LLM training framework development and performance optimization
Strong mathematical fundamentals, including linear algebra and numerical methods
Experience with parallel programming, ideally CUDA C/C++
Strong communication and organization skills, logical approach to problem solving, good time management, and task prioritization skills

Responsibilities

Work directly with key application developers to understand current and future problems, craft and optimize core parallel algorithms and data structures for best GPU solutions via reference code development and direct application contributions
Collaborate closely with diverse NVIDIA groups (architecture, research, libraries, tools, system software) to influence next-generation architectures, software platforms, and programming models by investigating impacts on application performance and developer efficiency
Travel from time to time for conferences and on-site visits with developers

Skills

Key technologies and capabilities for this role

C++PythonGPUsParallel AlgorithmsData StructuresLLM TrainingPerformance OptimizationLinear Algebra

Questions & Answers

Common questions about this position

What compensation and benefits does NVIDIA offer for this role?

NVIDIA offers highly competitive salaries and a comprehensive benefits package. More details can be found at www.nvidiabenefits.com.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What skills and experience are required for the Developer Technology Engineer role?

Candidates need a BS, MS, or PhD in engineering or computer science, 3+ years of experience with C/C++ and/or Python, 2+ years with LLM training framework development and optimization, strong mathematical fundamentals, parallel programming experience ideally with CUDA, and strong communication skills.

What is the company culture like at NVIDIA?

NVIDIA provides a diverse, supportive environment where everyone is inspired to do their best work.

What makes a strong candidate for this position?

A strong candidate has a degree in engineering or computer science, programming proficiency in C/C++ and/or Python, experience with LLM training frameworks and CUDA, strong math skills, and excellent communication and problem-solving abilities. Domain expertise in LLM, CTR, CV, or HPC is helpful but not required.

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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