Senior Parallel Computing Engineer
1 month ago
NVIDIA is seeking a highly skilled computer scientist to join its Compute Developer Technology (Devtech) team.
This role involves researching and developing techniques to GPU-accelerate leading applications in high-performance computing fields, including machine and deep learning, scientific computing, and data processing.
Key Responsibilities:
- Collaborate with application developers to understand current and future problems, creating and optimizing core parallel algorithms and data structures to provide the best solutions using GPUs.
- Work closely with architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models.
- Some travel required for conferences and on-site visits with developers.
Requirements:
- BS, MS, or PhD in engineering or computer science.
- 3+ years of work experience.
- Strong knowledge of C/C++ and/or Fortran.
- Expert knowledge of software design, programming techniques, and algorithms.
- Strong mathematical fundamentals, including linear algebra and numerical methods.
- Experience with parallel programming, ideally CUDA C/C++ and OpenACC.
- Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.
NVIDIA offers highly competitive salaries and a comprehensive benefits package, making it one of the most desirable employers in the technology industry. If you're a creative and autonomous computer scientist with a genuine passion for parallel computing, we want to hear from you.
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Software Engineer
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