NVIDIA
Technology
ComputePerformanceDeveloperTechnologyEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Compute Performance Developer Technology Engineer at NVIDIA. Skills: Compute performance, Application optimization, Parallel algorithms. Engage directly with experts. Understand problems experts are solving”
Industry & Context.
Logical approach; Problem solving
What They're Looking For.
Must Have
BS, MS, or PhD degree, 5+ years of experience, knowledge of C/C++ and/or Fortran, solid understanding in software design, solid understanding in programming techniques, solid understanding in algorithms, Hands-on experience with parallel programming, Good communication skills, Good organization skills, logical approach to problem solving, good time management, task prioritization skills, Fluency in French, French citizenship
What You'll Do.
Engage directly with experts
Understand problems experts are solving
Address problems experts are solving
Guide key application developers
Contribute directly to applications
Develop reference codes
Create parallel algorithms
Optimize core parallel algorithms
Provide solutions using NVIDIA platform
Join efforts with diverse groups
Influence design of next-gen architectures
Influence design of next-gen software stack
Influence design of next-gen programming models
Investigate impact on application performance
Investigate impact on developer productivity
How You'll Work.
Team & Collaboration
Diverse groups at NVIDIA; Architecture teams; Research teams; Libraries teams; Tools teams; System software teams; Product management teams
Communication Scope
Good communication
Full Job Description
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. **What you will be doing:** * 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. With highly competitive salaries, a comprehensive benefits pa
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