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Technical Lead Manager, Machine Learning, Memory Subsystem Design

Google

Sunnyvale, CA

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JOB DETAILS
JOB TYPE
Full-time, Employee
SKILLS
Artificial Intelligence (AI), Cloud Computing, Computer Architecture, Computer Engineering, Computer Science, Cross-Functional, DFT (Design for Test), DRAM, Design Verification, Ecosystems, Electrical Engineering, Equal Employment Opportunity (EEO), IP (Internet Protocol), Machine Learning, Memory Hardware, Memory Subsystem, Mentoring, Model Verification, Network Operations Center, Operations Research, People Management, Process Improvement, Quality Control, Quality Metrics, RTL Design, Semiconductors, Signal Integrity, Software Design, Software Validation, System Validation, Team Lead/Manager, Technical Leadership, Verification Engineering
LOCATION
Sunnyvale, CA
POSTED
4 days ago

Minimum qualifications:

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
  • 15 years of experience in semiconductor design or design verification.
  • 6 years of experience in people management, developing employees.
  • Experience in designing or verifying DRAM-based memory subsystems.

Preferred qualifications:

  • Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
  • Experience in creating and validating HBM-based memory subsystems.

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.

As Technical Manager for TPU DRAM, you will develop and validate high performance memory subsystems for upcoming machine learning products.

In this role, you will provide guidance to a team of design and verification engineers, collaborate with cross-functional peers on its system level aspects, and interact with the larger DRAM ecosystem, including DRAM manufacturers and third party IP providers.

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.

The US base salary range for this full-time position is $240,000-$334,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Lead, mentor and manage a team of RTL Design and DV Engineers developing DRAM subsystems including HBM.
  • Collaborate closely with the cross-functional teams (e.g. Design for Test, Signal/Power Integrity, Packaging, Physical Design,Software, Silicon Validation, Silicon Engineering) to plan and execute throughout the development cycle.
  • Interface with third party IP providers of memory related IP including controllers, physical layers, and verification models during the selection and implementation phases of projects.
  • Interface with DRAM manufacturers during the design and validation of DRAM subsystems.
  • Drive improvements in design methodologies, processes, and quality control measures.
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.

About the Company

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Google