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
Minimum qualifications: Currently enrolled in a Bachelors or Masters degree in Computer Science or a related technical field in the EMEA region. Experience working with data structures or algorithms during coursework/projects, research, internships or practical experience in
Software Engineering, Site Reliability Engineering BS/MS Intern, 2027 Share Software Engineering, Site Reliability Engineering BS/MS Intern, 2027 _corporate_fare_ Google _place_ Zürich, Switzerland; Munich, Germany; +4 more; +3 more _bar_chart_ Intern & Apprentice Share Software Engineering, Site
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 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 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 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,
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
#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