Description
NVIDIA is seeking talented computer science students to join its Compute Developer Technology (Devtech) team. The team focuses on GPU-accelerating leading applications in high-performance computing fields, including scientific computing, computational engineering, and data science.
In this role, you will research and develop techniques to optimize applications on current and next-generation GPU architectures. Your responsibilities include:
- Working with key application developers to understand their problems and craft optimized parallel algorithms and data structures for GPUs
- Collaborating with diverse NVIDIA teams to influence the design of next-generation architectures, software platforms, and programming models
To be successful in this role, you should:
- Be pursuing a Master's or Ph.D. in computer science or a related engineering discipline
- Have programming fluency in C/C++ and/or Fortran, with a deep understanding of software design, programming techniques, and algorithms
- Possess strong mathematical fundamentals, including linear algebra and numerical methods
- Have experience with parallel programming, ideally CUDA C/C++ and OpenACC
- Demonstrate strong communication and organization skills, with a logical approach to problem solving
NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Switzerland-Zurich/Developer-Technology-Engineering-Intern---Compute-Performance_JR2027949