CUDA Engineer — AI Frameworks

NVIDIA·Santa Clara, CA

AI EngineeringSeniorFull-time

$200K-$350KPosted 26 Feb 2026

About the Role

NVIDIA is seeking a CUDA Engineer to optimize deep learning frameworks for GPU acceleration. You will work on kernel optimization, memory management, and performance tuning for training and inference workloads on NVIDIA's latest GPU architectures.

Requirements

5+ years of CUDA/C++ programming experience
Deep understanding of GPU architecture and parallel computing
Experience optimizing deep learning kernels
Strong background in computer architecture
BS/MS/PhD in Computer Science or Electrical Engineering

Nice to Have

Experience with TensorRT or Triton inference server
Contributions to PyTorch or TensorFlow GPU backends
Knowledge of mixed-precision training techniques
Experience with NVIDIA's Hopper or Blackwell architectures

Benefits

Stock grants in a leading semiconductor company

Comprehensive benefits package

Employee stock purchase plan

On-site gym and cafeteria

Patent bonuses

Education reimbursement

Skills

CUDAC++GPU ComputingDeep LearningPerformance OptimizationPython

This listing was posted on 2026-02-26 and is almost certainly closed. It is kept for reference — check the employer’s own careers page for current openings.

Visit NVIDIA

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