Machine Learning and Multimedia IP Verification Manager, Silicon

Google LLC

San Diego, CA

JOB DETAILS
SKILLS
ASIC (Application Specific Integrated Circuit), Analysis Skills, Android, Artificial Intelligence (AI), Calendar Management, Cloud Computing, Cloud Storage, Computer Architecture, Computer Engineering, Computer Hardware, Computer Science, Consumer Packaged Goods, Customer Service Management, Debugging Skills, Design Verification, Electrical Engineering, English Language, Equal Employment Opportunity (EEO), Error Handling, Facilities Management, Field Sales, Financial Services, Functional Testing, GPU (Graphics Processing Unit), Genetics, Hardware Design, IP (Internet Protocol), Image Processing, Intellectual Property (IP), Internet Service Providers, Intrusion Prevention Systems, Japanese Language, Leadership, Low Power, Machine Learning, Manufacturing, Mentoring, Metrics, Multimedia, Multimedia Design, Network Operations Center, Object Oriented Programming (OOP), Power Management, Product Support, Productivity Management, Quality Engineering, RTL Design, Recruiting/Staffing Agency, Regulatory Requirements, Reliability Engineering, Requirements Management, Sales, Sales Management, Simulation, Software Engineering, Stock Purchase Plans, Structural Engineering, System Validation, System-on-a-Chip (SoC), SystemVerilog, Team Lead/Manager, Team Player, Technical Consulting, Technical/Engineering Design, Test Bench, Testing, Verification Engineering, Verification Plans, Video Compression
LOCATION
San Diego, CA
POSTED
2 days ago

Machine Learning and Multimedia IP Verification Manager, Silicon - Google Careers

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Machine Learning and Multimedia IP Verification Manager, Silicon

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corporate_fareGoogleplaceSan Diego, CA, USA; Mountain View, CA, USA

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: San Diego, CA, USA; Mountain View, CA, USA.

Minimum qualifications:

  • Bachelor"s degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
  • 10 years of experience with verifying digital logic at RTL using SystemVerilog for ASICs.
  • Experience leading a team completing the full functional verification and performance validation cycle of subsystems such as Camera ML/Multemedia/ISP, Display, TPU/GPU, processors, or at the SOC level.
  • Experience constructing reusable verification components and environments using UVM.
  • Experience with object oriented programming.

Preferred qualifications:

  • Master"s degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.

  • Experience with Camera ISP image processing or other Multimedia IPs such as Display or Video Codec or ML Accelerator verification.

  • Experience with System Verilog Assertions (SVA), assertion-based verification, and formal verification.

  • Experience working with software teams to define hardware/software interfacing including control/status registers, security, and error handling.

  • Experience working with RTL design and integration teams on methodologies that improve team productivity and velocity.

  • Experience with Low Power Verification and power management flows.

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.

In this role, you will lead and manage a global team of Verification Engineers and independently own Verification closure of various Machine Learning (ML) Accelerators and Multimedia IP designs. This includes verification methodology, infrastructure, test-benches, planning, metrics development and convergence of metrics to deliver high quality ISP Designs.

Google"s mission is to organize the world"s information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people"s lives better through technology.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $279000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Plan the verification of complex ML and multimedia hardware at IP and Subsystem level and while supporting full chip level integration by fully understanding the design specification and interacting with architecture and design engineers to identify important verification scenarios.
  • Create and enhance constrained-random verification environments using System Verilog and UVM.
  • Identify and write all types of coverage measures for stimulus and corner-cases, work with design engineers to debug tests to deliver functionally correct design blocks.
  • Manage and mentor a global team of design verification engineers, including methodology department, in all aspects of design verification including test plan reviews, coverage analysis, regression/simulation and debug, and schedule planning for quality verification milestones.
  • Manage the interface between SoC Design Verification teams and the ML/Multimedia Hardware Design Verification team including required deliverables for all SoC verification milestones.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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