Compute Performance Developer Technology Engineer

Responsibilities

• Engage directly with experts in their field to understand and address the problems they are solving today and tomorrow.
• Guide key application developers, contribute directly to the applications, develop reference codes or libraries.
• Create and optimize core parallel algorithms and data structures to provide the best solutions using the NVIDIA platform.
• Join efforts with diverse groups at NVIDIA such as the architecture, research, libraries, tools, system software, and product management teams to constantly improve our platform.
• Influence the design of next-generation architectures, software stack, and programming models, by investigating the impact on application performance and developer productivity.
• What we need to see:
• A BS, MS, or PhD degree in computer science or in engineering or a domain science with a strong focus on the related computational methods or equivalent experience with 5+ years of experience.
• Strong knowledge of C/C++ and/or Fortran with solid understanding in software design, programming techniques, and algorithms.
• Hands-on experience with parallel programming, e.g., in MPI, OpenMP, CUDA, and/or OpenACC.
• Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.
• Fluency in French, French citizenship.

Additional Information

NVIDIA is looking for a committed, outstanding software developer or computer scientist to join its Compute Developer Technology (Devtech) team in France. This role focuses on research and development of techniques to accelerate leading applications in high performance computing fields within scientific computing, computational engineering, data analytics, and artificial intelligence. This includes performing in-depth analysis and optimization to ensure the best possible performance on the current and next generation of CPU, GPU, and network architectures.

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