We’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
#WeAreIn for jobs that impact everyones life. What if your ideas could change the way the world connects, powers up, or thinks? As a Staff Engineer AMS Implementation (f/m/div) on our Research & Development team, youll
Join our multidisciplinary team and help build and improve GPU and CPU accelerated software libraries. Projects like nvComp, NPP, nvJPEG, nvJPEG2000, nvTIFF, nvImageCodec are used in all kinds of processing workflows and support NVIDIAs vision and
Overview In this role you will advance GPU-accelerated AI workloads by researching and developing parallel techniques for modern architectures. You will collaborate with industry and academic experts to optimize deep learning, ML, and AI algorithms for CPUs and
Overview In this role you will design, develop, and optimize scalable data processing libraries that run on GPUs and CPUs. You’ll contribute to projects like DALI and nvImageCodec, supporting NVIDIA’s vision across AI, data analytics, and
Overview In this role you design, develop and optimize GPU- and CPU-accelerated library software used across AI, data analytics and image processing workflows. You will work closely with product teams to define features and performance goals,
Overview As Staff Engineer AMS Implementation you will shape the automated AMS layout design for analog ICs and power devices within Infineon’s R&D family. You will collaborate with an international team to develop and optimize geometry,