Job Description Overview We are seeking a talented and motivated AI Customer Application Engineer to join our team. In this role, you will be part of the AI & Cloud Engineering (ACE) Division and Customer Engineering
Job Description Quality assurance of embedded software for semiconductor products mainly for automotive applications ・Assessment of compliance with standards and rules for software design activities - Functional Safety Assessment based on ISO26262 - Design process assessment
Job Description Development of design methodology and technology for semiconductors (MCU(Micro Control Unit), SoC(System on a Chip), Analog, PowerDevice) and support application of EDAs to actual designs - Technology development for related mixed signal circut design,
Job Description Interpret requirement specifications to achieve system and design strategy for IPD & GDU products. Technical leadership of projects / lead designer for major blocks, ensuring designs are successfully guided into production. Design, simulation and
Job Description Lead layout design and verification work of Mixed Signal LSI 1. Chip top layout design and verification 2. Leading of layout design team 3. Layout management with contractors 4. Report preparation and review of layout
Company Description Renesas is one of the top global semiconductor companies in the world. We strive to develop a safer, healthier, greener, and smarter world, and our goal is to make every endpoint intelligent by offering
Job Description Maximize Renesas business in the assigned region / customer base. Detailed understanding of the customer base and Microcontroller TAM / SAM in the assigned region. Develop regional go to market strategies, prioritize on customers, decide on
Company Description Wafer prices for advanced processes are high, and the cost impact of manufacturing yield is very large. To improve yield, it is important to investigate the root causes of failures and improve manufacturing processes
Company Description Wafer prices for advanced processes are high, and the cost impact of manufacturing yield is very large. To improve yield, it is important to investigate the root causes of failures and improve manufacturing processes
