Minimum qualifications:
- Bachelor's degree in Communications/Electrical Engineering, Computer science, or equivalent practical experience.
- 3 years of experience in IP modeling.
- Experience in C/C++/python and embedded systems.
- Master's degree or PhD in Computer Science or a related technical field.
- Experience in full virtualization platform development.
- Experience in Advanced RISC Machine (ARM) architecture.
- Knowledge of Dynamic Voltage and Frequency Scaling (DVFS) control, thermal framework, power state control, power management Integrated Circuit (ICs).
- Knowledge in one or more of these areas: Quality of Service(QoS) tuning, bandwidth and latency analysis, scheduler, DVFS governor, idle governor control, thermal management, device driver.
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About the job
Be part of a diverse team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.
Responsibilities
- Analyze and evaluate architectural design choices for next-generation SoCs.
- Develop the simulation solutions to support early software development and architecture exploration for next-generation SoC.
- Collaborate closely with hardware teams and software teams (application, framework, firmware) to drive architectural decisions from concept to production.
- Communicate and coordinate with key stakeholders across the organization to share priorities, roadmap, and key learnings.