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Developing reference codes and optimizing parallel algorithms for VR, AI, Deep Learning, and Autonomous Vehicles. Hands-on parallel programming (MPI, OpenMP, CUDA, OpenACC) experience required. Cross-functional collaboration with architecture, research, and product teams.
Requirements
- BS, MS, or PhD in computer science, engineering, or domain science with focus on computational methods, or equivalent experience
- Strong knowledge of C/C++ and/or Fortran with understanding of software design, programming techniques, and algorithms
- Hands-on experience with parallel programming in MPI, OpenMP, CUDA, and/or OpenACC
- Good communication and organization skills, logical problem solving, time management, and task prioritization skills
- Expertise in computational engineering (CAE, EDA), computational geometry, and linear solvers
Tasks
- Engage with field experts to understand current and future challenges
- Guide application developers and contribute to their projects
- Develop reference codes and libraries for applications
- Create and optimize core parallel algorithms and data structures
- Collaborate with architecture, research, and product management teams
- Influence the design of next-generation architectures and software stacks
- Investigate impacts on application performance and developer productivity
Work Experience
- 10 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- C/C++
- Fortran
- MPI
- OpenMP
- CUDA
- OpenACC
Benefits
Other Benefits
- Comprehensive benefits package
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Developing reference codes and optimizing parallel algorithms for VR, AI, Deep Learning, and Autonomous Vehicles. Hands-on parallel programming (MPI, OpenMP, CUDA, OpenACC) experience required. Cross-functional collaboration with architecture, research, and product teams.
Requirements
- BS, MS, or PhD in computer science, engineering, or domain science with focus on computational methods, or equivalent experience
- Strong knowledge of C/C++ and/or Fortran with understanding of software design, programming techniques, and algorithms
- Hands-on experience with parallel programming in MPI, OpenMP, CUDA, and/or OpenACC
- Good communication and organization skills, logical problem solving, time management, and task prioritization skills
- Expertise in computational engineering (CAE, EDA), computational geometry, and linear solvers
Tasks
- Engage with field experts to understand current and future challenges
- Guide application developers and contribute to their projects
- Develop reference codes and libraries for applications
- Create and optimize core parallel algorithms and data structures
- Collaborate with architecture, research, and product management teams
- Influence the design of next-generation architectures and software stacks
- Investigate impacts on application performance and developer productivity
Work Experience
- 10 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- C/C++
- Fortran
- MPI
- OpenMP
- CUDA
- OpenACC
Benefits
Other Benefits
- Comprehensive benefits package
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
NVIDIA
Industry
IT
Description
The company is developing groundbreaking solutions in Virtual Reality, Artificial Intelligence, Deep Learning, and Autonomous Vehicles.
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