Developer Technology Engineer, AI - New College Grad 2026 at NVIDIA

Beijing, China

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

A degree from university in an engineering or computer science related discipline (BS; MS or PhD preferred)
Strong knowledge of C/C++, software design, programming techniques, GPU architecture, parallel computing, and AI algorithms
Solid skills of CUDA C/C++ programming, performance profiling and optimization (preferred)
Expert knowledge of GPU architecture (preferred)
Good communication skills

Responsibilities

Study and develop cutting-edge techniques in CUDA programming, profiling, optimization in application domains including deep learning, graphics, machine learning, and data analytics
Perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures
Work directly with key customers to understand their current and future problems and provide the best AI solutions using GPUs
Collaborate closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to influence the design of next-generation architectures, software platforms, and programming models

Skills

Key technologies and capabilities for this role

CUDAC/C++GPU architectureparallel computingprofilingoptimizationdeep learningmachine learningcomputer visionnatural language processing

Questions & Answers

Common questions about this position

What are the required qualifications for this Developer Technology Engineer role?

A degree from university in an engineering or computer science related discipline (BS; MS or PhD preferred) is required.

What key skills are needed for this position?

Strong knowledge of C/C++, software design, programming techniques, GPU architecture, parallel computing, and AI algorithms is required. Solid skills in CUDA C/C++ programming, performance profiling and optimization are preferred, along with expert knowledge of GPU architecture.

What does the compensation and benefits package look like?

NVIDIA offers highly competitive salaries and a comprehensive benefits package.

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

This information is not specified in the job description.

What kind of team and work environment can I expect at NVIDIA?

You'll work with the best CUDA experts and deep learning scientists, collaborating with the world’s leading technology companies and NVIDIA's architecture, research, libraries, tools, and system software teams. The engineering teams are expanding fast with some of the most brilliant and talented people.

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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