← All roles

Principal Architect, Accelerated Computing

NVIDIA· Architect
Apply on company site
Santa Clara, CA$272k - $431.3kfull-timePosted 4d ago

About the role

Senior-level role focusing on architecture, optimization, and co-design for accelerated computing across GPUs, collaborating with hardware, software, product, and research teams; involves publishing and contributing to patents and technical literature.

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 leading and 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
  • 12+ 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.
  • Experience benchmarking, profiling characterizing workloads on GPU and CPU clusters.

Skills

Required:GPU programmingC/C++Performance benchmarking
Nice to have:Python

Benefits

  • You will also be eligible for equity and benefits.
Last updated Oct 23, 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.

AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm
Company profileWebsite

More open roles at NVIDIA