Required Physical Design Engineer, SoC Static Timing Analysis
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. In this role, you will contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering exceptional performance, efficiency, and integration.
We're the driving force behind our 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 Cloud, Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Drive the sign-off timing convergence for high-performance designs.
Set up the timing constraints, define the overall static timing analysis (STA) methodology, set up the STA infrastructure and sign-off convergence flows, and work closely with block owners throughout the project for sign-off timing convergence.
Work with logic designers to drive architectural feasibility studies, develop timing, and explore RTL/design trade-offs for physical design closure.
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. In this role, you will contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering exceptional performance, efficiency, and integration.
We're the driving force behind our 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 Cloud, Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Drive the sign-off timing convergence for high-performance designs.
Set up the timing constraints, define the overall static timing analysis (STA) methodology, set up the STA infrastructure and sign-off convergence flows, and work closely with block owners throughout the project for sign-off timing convergence.
Work with logic designers to drive architectural feasibility studies, develop timing, and explore RTL/design trade-offs for physical design closure.
Requirements:
Minimum qualifications:
Bachelor's degree in Electrical Engineering, a related technical field, or equivalent practical experience.
8 years of Physical Design experience including 2 years of experience with Static Timing Analysis (STA), including sign-off corner definitions, process margining, interface timing constraints, timing convergence, and setting frequency goals with technology scaling.
Experience in constraints development for subsystems or full System-on-Chip (SoC) architectures.
Preferred qualifications:
Proficiency with scripting languages commonly used in hardware automation (e.g., Tcl, Python, or Perl).
Deep familiarity with ASIC physical design flows and methodologies, including synthesis, place and route (P&R), formal verification, and clock domain crossing (CDC).
Solid fundamental knowledge of semiconductor device physics and transistor characteristics.
Minimum qualifications:
Bachelor's degree in Electrical Engineering, a related technical field, or equivalent practical experience.
8 years of Physical Design experience including 2 years of experience with Static Timing Analysis (STA), including sign-off corner definitions, process margining, interface timing constraints, timing convergence, and setting frequency goals with technology scaling.
Experience in constraints development for subsystems or full System-on-Chip (SoC) architectures.
Preferred qualifications:
Proficiency with scripting languages commonly used in hardware automation (e.g., Tcl, Python, or Perl).
Deep familiarity with ASIC physical design flows and methodologies, including synthesis, place and route (P&R), formal verification, and clock domain crossing (CDC).
Solid fundamental knowledge of semiconductor device physics and transistor characteristics.
This position is open to all candidates.
