StellenbeschreibungppWe’re currently seeking a Principal Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible performance on pioneering computer hardware? Could you be thrilled about an opportunity to partner with the developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like NVIDIA? If so, the Developer Technology Team invites you to consider this role. /p h3What You Will Be Doing /h3 ul liResearch and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains. /li liWork 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. /li liPublish and/or present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the developer community. /li liInfluence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA. /li /ul h3What We Need To See /h3 ul liAn advanced degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience). /li li15+ years of relevant experience in software development or research work. /li liProgramming fluency in C/C++ with a deep understanding of algorithms and software development. /li liA background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc. /li liHands on experience doing low-level performance optimizations. /li liIn-depth expertise with CPU and GPU architecture fundamentals. /li liEffective communication and organization skills, with a logical approach to problem solving, good time management, and prioritization skills. /li /ul h3Ways To Stand Out From The Crowd /h3 ul liExpertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc. /li liExcellent understanding of linear algebra. /li /ul pNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. /p /p #J-18808-Ljbffr
