Senior Developer Technology Engineer - AI

NVIDIA is a technology company advancing accelerated computing and artificial intelligence through its Developer Technology organization. The Senior Developer Technology Engineer will research and develop GPU-accelerated techniques for AI workloads, optimize complex algorithms across CPU and GPU architectures, publish findings, and influence next-generation hardware, software, and programming models.

Responsibilities:

• In this position, you will research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains
• Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure the best possible AI solutions on modern CPU and GPU architectures
• Publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the Developer community
• Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA

Requirements:

• A Masters degree in Computer Science, Computer Engineering, or related computationally focused science degree (or additional equivalent experience)
• You have 8+ years of relevant work experience or research
• Programming fluency in C/C++ with a deep understanding of algorithms and software development
• A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc
• Hands on experience doing low-level performance optimizations
• In-depth expertise with CPU and GPU architecture fundamentals
• Good communication and organization skills, with a logical approach to problem solving, and prioritization skills
• Expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc
• Excellent understanding of linear algebra