About the role
What will you do at Google?
MINIMUM QUALIFICATIONS:
* Bachelor's degree in Electrical Engineering or a related field, or equivalent
practical experience.
* 8 years of experience with SystemVerilog, hardware design, automation, design
verification test.
* 5 years of experience working with Computer-aided design (CAD).
PREFERRED QUALIFICATIONS:
* Master's degree or PhD in Electrical Engineering, Computer Engineering or
Computer Science or a related field.
* Experience planning, coding, and deploying new tools and flows to users.
* Knowledge of the chip design process and methodology for RTL quality.
* Ability to present and explain novel methods to users.
ABOUT THE JOB:
In this role, you’ll 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 Google's most demanding AI/ML applications. You’ll be
part of a team that pushes boundaries, developing custom silicon solutions that
power the future of Google's 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.
As a Senior Engineer within Google's silicon team, you will help deliver
products that have a substantive impact on the technical infrastructure that
powers Google. You will provide leadership to a group of engineers in an
innovative and changing environment with a focus on infrastructure for chip
design. You will also lead technical projects from the concept/planning stage
through execution and delivery.
In this role, you will
- help the organization to accelerate delivery of designs
- for the next generation TPUs and other chips. Leveraging your technical and
- leadership expertise, you lead end-to-end chip design process improvement
- projects.
- 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.
- Individual pay is determined by factors including job-related skills,
- experience, and relevant education or training.
- US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
- Learn more about benefits at Google
- [https://www.google.com/about/careers/applications/benefits/].
- RESPONSIBILITIES:
- * Lead CAD methodology engineers to provide enablement and support for RTL
- Design teams.
- * Partner with chip project teams to influence and standardize design
- methodology across projects.
- * Perform or guide technical evaluations of tools for possible deployment.
- * Collaborate with teams across Google to identify and create strategic
- opportunities for improved chip design across Google.
- * Participate in design reviews and track issue resolution and engage in
- technical and schedule trade-off discussions.
Which skills does this role require?
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