Developer Technology Engineer Intern, HPC - 2026 at NVIDIA

Taipei, Taiwan

NVIDIA Logo
Not SpecifiedCompensation
Internship, Entry Level & New GradExperience Level
InternshipJob Type
UnknownVisa
Technology, High Performance Computing, AIIndustries

Requirements

  • BS degree from university in an engineering or computer science related discipline (MS or PhD preferred)
  • Expert mathematical fundamentals, including linear algebra and numerical methods
  • Strong knowledge of Fortran and/or C/C++
  • Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills
  • Experience with parallel programming, ideally OpenACC and CUDA C/C++

Responsibilities

  • Study and develop 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
  • 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

HPC
GPU
CUDA
OpenACC
C/C++
Fortran
parallel programming
linear algebra
numerical methods
data analytics

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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