Design and Power Methodology Manager, Servers, Google Cloud
As part of our Server Chip Design team, you will use your ASIC design experience to be part of a team that creates the SoC VLSI design cycle from start to finish. You will collaborate closely with design and verification engineers in active projects, creating architecture definitions with RTL coding, and running block level simulations.
As a Design and Power Methodology Team Manager within the Server Chip Design team, you will be responsible for managing and leading design and power methodologies from IP to SoC, pre and post silicon. You will be responsible for mentoring and developing team members and tech leads while driving improvements in leadership, technical execution, and design flows.
You will work closely with CAD vendors and internal teams to develop lead design and power methodology and execution.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
- 10 years of experience in RTL Design cycle IP and SoC.
- 8 years of experience in team management.
- Experience with design methodologies, structural checks, and power estimation.
Preferred qualifications:
- Experience with synthesis techniques to optimize Register-Transfer Level (RTL) code, performance and power as well as low-power design techniques.
- Experience with a scripting language like Python or Perl.
- Experience with design for test and its impact on design and physical design.
- Knowledge of IP and SOC architecture.
- Knowledge of physical design techniques: SDC, Synthesis, EMIR, etc.
Semiconductor pay context
Based on 275 disclosed Semiconductor salaries on RoleSuite, the role pays a median of $180K/year, with most offers between $143K and $206K (10th–90th percentile: $130K–$237K).
Google ranks among the higher-paying employers for this role, at a $200K median across 48 disclosed postings.
See the full Semiconductor salary breakdown →