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Senior Accelerated Computing Architect

NVIDIA· Architect
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Santa Clara, CA$184k - $287.5kFull-timePosted 6mo ago

About the role

Senior role focused on designing, optimizing, and co-designing accelerated computing architectures and software for NVIDIA GPUs, with collaboration across hardware, software, product, and research teams.

Responsibilities

  • Performing in-depth analysis and optimization to ensure the best possible performance on current and/or next-generation NVIDIA GPUs.
  • Creating and optimizing core parallel algorithms, data structures, and reference codes to provide the best possible solutions for NVIDIA GPUs.
  • Understanding and analyzing the interplay of hardware and software architectures on core algorithms, programming models, and applications.
  • Actively collaborating with the hardware design, software engineering, product, and research teams to guide the direction of accelerated computing.
  • Diving into accelerated computing applications to facilitate software-hardware co-design.
  • Writing up and presenting your work by writing white papers, conference publications, official blog posts, patent applications, etc. as appropriate.

Qualifications

  • An MS or Ph.D. in Computer Science, Computer Engineering or Electrical Engineering, or equivalent experience
  • 6+ years of relevant work experience
  • Strong mathematical fundamentals, including linear algebra and numerical methods
  • A passion for performance optimization
  • Hands-on experience with the massively parallel GPU programming model, e.g. CUDA or OpenCL
  • Familiarity with APIs for multi-node communication, like MPI or OpenSHMEM/NVSHMEM, is a plus
  • Strong knowledge of C and C++ with solid understanding of software design, programming techniques, and algorithms
  • Familiarity with threading APIs for multicore CPUs and Unix-style Inter-process Communication (IPC) APIs is a plus
  • Familiarity with Python is a plus
  • Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills

Skills

Required:MS or PhD in CS/CE/EE or equivalent experienceGPU programming (CUDA/OpenCL)C and C++Communication and organization
Nice to have:MPI or OpenSHMEM/NVSHMEMPython

Benefits

  • equity
  • benefits
Last updated Jul 3, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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