This is a fully remote position, open to applicants in Switzerland, +1 more country.

📋 Description

• Investigate and create methods to enhance workloads in deep learning, machine learning, and other AI fields using GPU acceleration.

• Collaborate with subject matter experts from both industry and academia to assess and refine intricate AI and HPC algorithms.

• Guarantee optimal AI performance on contemporary CPU and GPU architectures.

• Publish and/or present optimization strategies in developer blogs or at pertinent conferences.

• Engage with and educate the developer community.

• Shape the future of hardware architectures, software, and programming models.

• Work alongside research, hardware, system software, libraries, and tools teams at NVIDIA.

⛳️ Requirements

• An advanced degree in Computer Science, Computer Engineering, or a related computationally focused scientific discipline (or equivalent experience).

• Over 8 years of pertinent experience in software development or research.

• Proficient in programming with C/C++ along with a solid grasp of algorithms and software development.

• Experience in parallel programming, such as CUDA, OpenACC, OpenMP, MPI, or pthreads.

• Practical experience in low-level performance optimizations.

• Comprehensive knowledge of CPU and GPU architecture principles.

• Strong communication and organizational skills.

• A logical mindset for problem-solving.

• Proficient time management and prioritization abilities.

• Expertise in parallelization and performance optimization of deep learning models from areas like Natural Language Processing, Computer Vision, and Recommender Systems (standout qualification).

• Strong understanding of linear algebra (standout qualification).