AI Developer Technology Engineer

Requirements:

• An advanced degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience).
• You have 5+ years of relevant experience in software development or research work.
• 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.
• Effective communication and organization skills, with a logical approach to problem-solving, good time management, and prioritization skills.

Nice to Haves:

• 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.

What you'll 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 optimal AI solutions on modern CPU and GPU architectures.
• Publish and/or 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.

Perks and Benefits:

• NVIDIA is widely considered to be one of the technology world’s most desirable employers.
• We have some of the most forward-thinking and hardworking people in the world working for us.
• Are you a creative and autonomous computer scientist with a genuine passion for parallel computing? If so, we want to hear from you.
• Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.
• NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.