Senior AI & HPC GPU Engineer (CUDA & Performance)

NVIDIA

United States

Hybrid

USD 152,000 - 288,000

Full time

4 days ago
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Job summary

NVIDIA is seeking a software engineer with a strong background in parallel processing and GPU architecture to push the limits of performance at the intersection of AI, high-performance computing, and financial markets.

You will design and develop techniques to accelerate workloads, optimize and scale AI/HPC workloads on CPU/GPU, and collaborate with top experts to influence future hardware and software systems. Equity and comprehensive benefits are available as part of the package.

Qualifications

  • Strong CUDA and parallel programming experience.
  • Deep understanding of CPU/GPU architecture fundamentals and performance impacts.
  • Master's or PhD in CS/CE/ECEN or related field.
  • Fluency in C/C++ and solid algorithms foundation.
  • 5+ years of relevant work or research experience.
  • Proven experience improving performance of large-scale GPU workloads.
  • Excellent understanding of linear algebra.

Responsibilities

  • Design and develop techniques to accelerate high-performance workloads at AI, math, and financial systems intersection.
  • Analyze, optimize, and scale AI and HPC workloads for CPU/GPU architectures.
  • Profile and eliminate performance bottlenecks across the stack from algorithms to kernels to system behavior.
  • Publish and present work at conferences, talks, and blogs to educate and inspire the community.
  • Collaborate with NVIDIA research, hardware, compiler, and tools teams to influence future designs.

Skills

CUDA
Parallel programming
C/C++
Algorithms
CPU/GPU architecture

Education

Master's or PhD in Computer Science / Computer Engineering / Electrical and Computer Engineering

Tools

TensorRT
TensorRT-LLM
cuTile

Job description

NVIDIA is seeking a software engineer with a strong background in parallel processing and GPU architecture to push the limits of performance at the intersection of AI, high-performance computing, and financial markets.

You will design and develop techniques to accelerate workloads, optimize and scale AI/HPC workloads on CPU/GPU, and collaborate with top experts to influence future hardware and software systems. Equity and comprehensive benefits are available as part of the package.

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