Developer Technology Engineer - HPC and AI

3 Months ago • 2 Years + • Research Development

Job Summary

Job Description

NVIDIA seeks a Developer Technology Engineer specializing in HPC and AI to research and develop GPU acceleration techniques for workloads. Responsibilities include collaborating with experts to optimize AI and HPC algorithms for CPU and GPU architectures, publishing optimization techniques, and influencing the design of next-generation hardware and software. The ideal candidate possesses a Master's degree in a relevant field, 2+ years of experience, proficiency in C/C++, parallel programming experience (CUDA, OpenACC, OpenMP, MPI, etc.), and expertise in CPU/GPU architecture. Excellent communication and problem-solving skills are essential.
Must have:
  • Master's degree in relevant field
  • 2+ years experience
  • C/C++ programming fluency
  • Parallel programming expertise (CUDA, OpenMP etc.)
  • Low-level performance optimization experience
  • CPU/GPU architecture expertise
Perks:
  • Competitive salary
  • Generous benefits package

Job Details

We’re currently seeking a Developer Technology Engineer!

Would you enjoy researching parallel algorithms to accelerate HPC workloads on advanced computer architectures? Is it rewarding to investigate, find, and eliminate system bottlenecks to achieve the best possible performance of computer hardware? Could you be thrilled about an opportunity to partner with the Developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like NVIDIA? If so, the Developer Technology Team invites you to consider this role.

What you will be doing:

  • In this position, you will research and develop techniques to GPU accelerate workloads.

  • Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure the best possible solutions on modern CPU and GPU architectures.

  • Publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the Developer community.

  • Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.

What we need to see:

  • A Masters degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience).

  • 2+ years of experience.

  • Programming fluency in C/C++ with a deep understanding of algorithms and software development.

  • A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc.

  • Hands on experience doing low-level performance optimizations.

  • In-depth expertise with CPU and GPU architecture fundamentals.

  • Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#deeplearning

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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