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

Shanghai, China

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

AI, Technology, Computer GraphicsIndustries

Requirements

A degree from a leading university in an engineering or computer science related discipline (BS; MS or PhD preferred) or equivalent experience
Strong knowledge of C/C++, software design, programming techniques, or AI algorithms
Strong verbal and written communication skills in English and organization skills
Logical approach to problem solving, time management, and task prioritization skills

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 directly with key customers to understand the current and future problems they are solving 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
Some travel is required for conferences and for on-site visits with customers

Skills

Key technologies and capabilities for this role

Deep LearningGPUMachine LearningData AnalyticsGraphsCUDAAI OptimizationPerformance Analysis

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.

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

This information is not specified in the job description.

What skills and qualifications are required for this Developer Technology Engineer role?

Candidates need a degree from a leading university in engineering or computer science (BS, MS, or PhD preferred), strong knowledge of C/C++, software design, programming techniques, or AI algorithms, and strong verbal/written communication skills with organization and problem-solving abilities.

What is the team and work environment like at NVIDIA?

You'll join a team full of world-class computer scientists in the Compute Developer Technology team, working with brilliant and talented people as engineering teams expand fast.

What makes a strong candidate for this AI Developer Technology Engineer position?

Strong candidates are creative and autonomous computer scientists with a genuine passion for parallel computing, along with the required degree and technical skills.

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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