NVIDIA

Developer Technology Engineer, CPU Performance

NVIDIA

full-time

Posted on:

Location Type: Remote

Location: California • New York • United States

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Salary

💰 $124,000 - $195,500 per year

About the role

  • Research and develop techniques to accelerate large scale applications running on NVIDIA’s family of advanced CPU platforms.
  • Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex data intensive and compute intensive workloads to ensure the best possible performance on modern hardware architecture focused on CPU performance.
  • 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.

Requirements

  • Pursuing or recently completed a BS, MS or PhD in Computer Science, Computer Engineering, or related field (or equivalent experience)
  • Relevant work or research experience.
  • Knowledge of modern CPU architectures (ARM, x86) and system/OS
  • Experience with CPU architecture fundamentals, especially memory subsystem (cache DRAM, storage.)
  • Hands-on experience with low-level parallel and system programming, SIMD vectorization, CPU intrinsics and concurrent data structures.
  • Programming fluency in modern C/C++ with a deep understanding of algorithms, concurrency, and other optimization techniques.
  • Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.
Benefits
  • equity
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Applicant Tracking System Keywords

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Hard Skills & Tools
CPU architecturesARMx86memory subsystemcacheDRAMstoragelow-level parallel programmingSIMD vectorizationC/C++
Soft Skills
communication skillsorganization skillsproblem solvingprioritization skills
Certifications
BS in Computer ScienceMS in Computer SciencePhD in Computer ScienceBS in Computer EngineeringMS in Computer EngineeringPhD in Computer Engineering