Nvidia Senior Developer Technology Engineer - AI 

United States, Texas 

905965146

What you will be doing:

• 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.

What we need to see:

• 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.

Ways to stand out from the crowd:

• 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.