Senior Accelerated Computing Architect

Responsibilities

• 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
• Analyzing the interplay of hardware and software architectures on core algorithms, programming models, and applications
• Collaborating with hardware design, software engineering, product, and research teams
• Diving into accelerated computing applications to facilitate software-hardware co-design
• Writing white papers, conference publications, official blog posts, and patent applications

Requirements

• MS or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience
• 6+ years of relevant work experience
• Strong mathematical fundamentals in linear algebra and numerical methods
• Hands-on experience with massively parallel GPU programming models (CUDA or OpenCL)
• Strong knowledge of C and C++ with understanding of software design and algorithms
• Familiarity with Python, MPI, or OpenSHMEM/NVSHMEM is a plus
• Good communication and organization skills