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ASIC Design Engineer, Machine Learning
Ver: 162
Dia de atualização: 05-11-2024
Localização: New Taipei City Xindian District
Categoria: Elétrica / Eletrônica Mecânico / Técnico Alta tecnologia IT - Software Outro
Indústria: Information Services Internet Publishing
Tipo de empregos: Full-time
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Conteúdo do emprego
Google welcomes people with disabilities.Minimum qualifications:
- Bachelor’s degree in Electrical Engineering or equivalent practical experience.
- 5 years of experience with Application Specific Integrated Circuit (ASIC) design.
- Experience in ASIC or Field Programmable Gate Array (FPGA) development with Verilog/SystemVerilog.
- Master’s degree or PhD in Electrical Engineering, Computer Science or a related field.
- Knowledge in computer architecture/memory subsystem architecture.
- Knowledge of power/performance/area trade-offs.
- Knowledge of accelerators (e.g., Machine Learning or Graphics Processing Units) or similar designs.
With your technical expertise, you lead projects in multiple areas of expertise (i.e., engineering domains or systems) within a data center facility, including construction and equipment installation/troubleshooting/debugging with vendors.
Google’s mission is to organize the world’s information and make it universally accessible and useful. Our Hardware team researches, designs, and develops new technologies and hardware to make our user’s interaction with computing faster, more powerful, and seamless. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, our Hardware team is making people’s lives better through technology.
Responsibilities
- Architect, design, and implement digital logic using Chisel, Verilog, and/or System Verilog.
- Engage with System Architects, Software, and Sub-System owners to define specifications and chip functions. Engage with Verification and Silicon Validation teams to ensure functionality of the design.
- Provide input on synthesis, timing closure, and Physical Design of digital blocks.
- Perform power, area, and performance trade-off analyses of digital designs and architectures.
- Apply engineering best practices (e.g., code review, testing, refactoring) to the design and implementation of ASIC blocks.
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Data limite: 20-12-2024
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