AI Compute DevTech Engineer - GPU/CPU Parallel Optimizer

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 184,000 - 357,000

Full time

14 days+

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Job summary

NVIDIA Corporation in Santa Clara, California, seeks a Senior Developer Technology Engineer, Artificial Intelligence, to research parallel algorithms and optimize AI workloads on modern CPU/GPU architectures.

You will work with experts across industry and academia to analyze and optimize AI/HPC applications, publish findings, and influence next-generation hardware, software, and programming models while engaging the Developer Community.

Qualifications

Master's degree in Computer Science, Computer Engineering, or related computational field.
8+ years of relevant work experience or research.
Fluency in C/C++ with strong algorithmic background.
Experience with parallel programming frameworks (CUDA, OpenACC, OpenMP, MPI, pthreads).
Hands-on experience in low-level performance optimizations.
Deep understanding of CPU and GPU architecture fundamentals.

Responsibilities

Research and develop techniques to accelerate AI workloads on modern CPU/GPU architectures.
Collaborate with industry and academia to analyze and optimize complex AI/HPC algorithms.
Publish and present optimization techniques at developer blogs or conferences.
Influence next-generation hardware architectures, software, and programming models with cross-team collaboration.