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Skills
- Analysis Skillsunmatched
- Artificial Intelligence (AI)unmatched
- Communication Skillsunmatched
- Computer Architectureunmatched
- Computer Engineeringunmatched
- Computer Hardwareunmatched
- Computer Scienceunmatched
- Cross-Functionalunmatched
- DRAMunmatched
- Electrical Engineeringunmatched
- Equal Employment Opportunity (EEO)unmatched
- Financial Controlunmatched
- Intrusion Prevention Systemsunmatched
- Leadershipunmatched
- Low Powerunmatched
- Memory Subsystemunmatched
- Organizational Skillsunmatched
- Performance Metricsunmatched
- Performance Modelingunmatched
- Power Managementunmatched
- Process Improvementunmatched
- Product Planningunmatched
- Product Reviewsunmatched
- Requirements Managementunmatched
- System Architectureunmatched
- System-on-a-Chip (SoC)unmatched
- Testingunmatched
- Trade-Off Analysisunmatched
Description
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; San Diego, CA, USA.Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
- 10 years of experience with memory subsystem architectures, including for mobile SoCs.
- Experience in power management or low power design/methodology, as well as with low power architecture and power optimization techniques.
- Experience with full product delivery cycle (e.g., definition, architecture, design and implementation, testing, productization).
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- Experience with memory subsystem architectures, cache hierarchies, system-level power and performance modeling, SoC-wide traffic analysis and optimizations, LPDDR standards, etc.
- Excellent leadership, organizational, and communication skills.
About the job
Be part of a 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $192000 - $279000 (USD) + 20% bonus target + bonus + equity + benefitsLearn more about benefits at Google.Responsibilities
- Lead the definition of power requirements for Tensor mobile System-on-Chips (SoCs) to achieve Power-Performance-Area (PPA) with a primary focus on the memory subsystem (memory controller, DDRPHY, DRAM).
- Own and drive cross-functional teams to deliver on power Key Performance Indicators (KPIs) for the memory subsystem and other major SoC IPs.
- Propose and drive power optimizations for the memory subsystem throughout the design process from concept to mass productization.
- Drive power-performance trade-off analysis for engineering reviews and product roadmap decisions.
- Represent status of SoC power to the executive leadership team.
Numbers & Facts
| Location | Mountain View, CA |
| Industry | Computer Software |
| Company Size | 10,000 employees or more |
| Year Founded | 1998 |
| Website | https://goo.gle/4dbno6V |
Benefits
Paid Sick Days, Performance Bonus, Professional Development, 401K, Stock Options, Employee Events, Retirement / Pension Plans, Tuition Reimbursement, Work From Home, Life Insurance, On Site Cafeteria
About Company
Build for everyone
Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.
It starts with how we work together. We’re building a company where people of different views, backgrounds and experiences can do their best work and show up for one another. A place where every Googler feels like they belong.
So whether you develop new technology or creative campaigns, craft beautiful products or breakthrough partnerships, your work here is a chance to accomplish things that matter. Bring your insight, imagination, and healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
Benefits
We strive to provide Googlers and their loved ones with a world-class benefits experience, focused on supporting their physical, financial, and emotional wellbeing. Our benefits are based on data, and centered around our users: Googlers and their families. They’re thoughtfully designed to enhance your health and wellbeing, and generous enough to make it easy for you to take good care of yourself (now, and in the future). So we can build for everyone, together.
Learn more about Google’s benefits on this site featuring Googlers’ experience.
How we Hire
Google’s hiring process is an important part of our culture. Googlers care deeply about their teams and the people who make them up. In order to build for everyone, we know that we need a wide range of perspectives and experiences, and a fair hiring process is the first step in getting there.