Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we
Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Leica Biosystems, one of Danahers ( 15+ operating companies, our work saves lives-and
Overview In this role you will lead verification efforts for sensor-focused IC designs in automotive and industrial markets. You will build and optimize verification environments, mentor the team, and drive efficient workflows across multi-disciplinary projects. You’ll
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. Bewerben Sie sich ganz
Overview As Coherent Optical System Architect you will shape the next generation of coherent MODEMs on Nokia’s optical platform. You will work with prototype hardware and feedback loops to PIC and high-speed ASIC teams, driving performance characterization
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our
Overview In this role you will own electronics development for Workstations and Ports within the New Product Development stream. You’ll lead hands-on design, from motor drive to PCB, and ensure integration with the AutoStore system. You
Overview In this role you will design the next iteration of SEMRONs 3D in-memory compute chip. You will collaborate with hardware, software, and ML engineers to optimize ML workloads on capacitive analog in-memory matrix-vector units. You will specify