Senior AI Compute Engineer - GPU & Parallel Optimization

NVIDIA Corporation

Santa Clara (CA)

Hybrid

USD 224,000 - 357,000

Full time

14 days+

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Job summary

NVIDIA Corporation is seeking a Senior Developer Technology Engineer in AI to research parallel algorithms that accelerate AI workloads on modern CPU and GPU architectures. You will collaborate with industry and academia to analyze and optimize complex AI and HPC workloads, and publish findings to advance the developer community.

This role requires a Master’s degree and 8+ years of experience, expert C/C++, CUDA/OpenACC/OpenMP, and hands-on performance tuning.

Qualifications

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

Responsibilities

Research and develop techniques to GPU-accelerate workloads in DL/ML or other AI domains.
Collaborate with experts to analyze and optimize complex AI/HPC algorithms for modern CPU/GPU architectures.
Publish and present optimization techniques in developer blogs or conferences.
Influence design of future hardware and software models with cross-team collaboration.