Nvidia Accelerated Compute Systems Performance Architect 

China, Shanghai 

504558136

What you'll be doing:

• Performing in-depth analysis and optimization to ensure the best possible performance on current and/or next-generation NVIDIA GPUs.

• Creating and optimizing core parallel algorithms, data structures, and reference codes to provide the best possible solutions for NVIDIA GPUs.

• Understanding and analyzing the interplay of hardware and software architectures on core algorithms, programming models, and applications.

• Actively collaborating with the hardware design, software engineering, product, and research teams to guide the direction of accelerated computing.

• Diving into accelerated computing applications to facilitate software-hardware co-design.

• Writing up and presenting your work by writing white papers, conference publications, official blog posts, patent applications, etc. as appropriate.

What we need to see:

• Strong mathematical fundamentals, including linear algebra and numerical methods.

• A passion for performance optimization.

• Hands-on experience with the massively parallel GPU programming model, e.g. CUDA or OpenCL. Familiarity with APIs for multi-node communication, like MPI or OpenSHMEM/NVSHMEM, is a plus.

• Strong knowledge of C and C++ with solid understanding of software design, programming techniques, and algorithms. Familiarity with threading APIs for multicore CPUs and Unix-style Inter-process Communication (IPC) APIs is a plus.

• Familiarity with Python is a plus.

• Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.

• 5 +years working experience, B.Sc., M.Sc., or Ph.D. in relevant discipline (CS, EE, CE).