Role at a glance
- Salary
- Not Disclosed
- Location
- 당산SK V1 center W1209호), Seoul, South Korea
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 3+ years
- Education
- PhD
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We’ll check it against the original posting.
Qualifications
Required
- PhD degree in high-performance computing or simulation field, or equivalent experience and 3+ years of relevant work.
- Strong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.
- Strong knowledge of C++, software development, programming techniques, and algorithms.
- Strong knowledge of CUDA and parallel computing.
- Proficiency in Computational Science and Engineering, including numerical methods, physics-based simulation, HPC workflows, and simulation-based Physical AI applications.
About the role
Original posting provided by 엔비디아(NVIDIA)
About the role
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology—and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. Join our global Developer Technology (DevTech) team at NVIDIA, where we drive innovation and improve the value of our platforms for developers.
What you'll do
• Collaborating closely with key application developers to understand and address their current and future challenges. Developing and optimizing core parallel algorithms and data structures, providing top solutions with GPUs through reference code and direct app contributions.
• Working intimately with diverse groups at NVIDIA including architecture, research, libraries, tools, and system software teams. Your insights will influence the development of next-generation architectures, software platforms, and programming models by investigating their impact on application performance and developer efficiency.
• Researching and developing innovative techniques in HPC or Physical AI. You'll conduct comprehensive analysis and optimization to ensure the best possible performance on current and next-generation GPU architectures.
Requirements
• PhD degree in high-performance computing or simulation field, or equivalent experience and 3+ years of relevant work.
• Strong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.
• Strong knowledge of C++, software development, programming techniques, and algorithms.
• Strong knowledge of CUDA and parallel computing.
• Proficiency in Computational Science and Engineering, including numerical methods, physics-based simulation, HPC workflows, and simulation-based Physical AI applications.
Benefits
• Highly competitive salaries and a comprehensive benefits package.
• See what we can offer to you and your family at www.nvidiabenefits.com/
About the company
엔비디아(NVIDIA)
고성능 GPU와 병렬 컴퓨팅 아키텍처를 기반으로 인공지능 연산과 그래픽 가속화를 이끄는 글로벌 반도체 기술 기업입니다. 딥러닝과 데이터 센터, 자율주행 기술의 연산 인프라를 독점적으로 제공하며 인공지능 시대의 핵심 동력이 되는 기술 표준을 정립해 나가고 있습니다.