Silicon Validation Engineering Manager, Cloud
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Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 8 years of experience in silicon validation, with a focus on digital systems or accelerators which include high-speed interfaces.
- Experience as a manager or technical leadership for new product introduction in custom silicon.
- Experience with System Verilog, Firmware, C++, or Scripting.
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- Experience with the entire silicon development life-cycle related to Silicon Validation, architecture and design requirements, DFx features, tapeout, planning and readiness for post-silicon, and execution of post-silicon.
- Experience bringing silicon to high-volume manufacturing and sustaining programs.
- Experience in direct Silicon design or verification.
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 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 digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.As a Silicon Validation Engineering Manager, you will lead the group focused on custom TPU silicon. You will set strategy and co-ordinate resources, planning, and execution for the team.
You will strategize, review, and execute test plans for silicon systems and subsystems. You will own silicon bringup, new product introduction (NPI), and sustaining efforts. You will serve as the central co-ordination point between your team and systems teams, including hardware, software, manufacturing, and supply chain. You will also manage relationships with vendors and contract manufacturers.
You will verify that silicon meets functional and performance requirements and own qualification, characterization, and deliverables for post-silicon, including interfaces, compute cores, power, and performance. You will debug issues, suggest fixes, and ensure silicon meets quality and reliability requirements throughout the entire product life-cycle (PLC).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 behind Google's groundbreaking innovations, empowering the development of 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.
Responsibilities
- Lead the Silicon Validation team by planning, co-ordinating resources, and executing for custom silicon programs.
- Develop and implement silicon validation strategy, co-ordinating, developing, and reviewing test plans across silicon subsystems and systems including interfaces, compute, power, and performance.
- Execute custom silicon NPI, including silicon bringup, qualification, and sustaining quality and reliability.
- Collaborate with the broader silicon group on current and future post-silicon issues, recommending improvements to enhance power, performance, quality, and reliability.
- Serve as the primary point of silicon validation to internal and external partners for silicon and system delivery, functionality, and performance.
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