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Product Engineer, Machine Learning Accelerators

8.00 to 10.00 Years   Mexico (Mexico)   21 Mar, 2025
Google India Pvt Ltd
Job LocationMexico (Mexico)
EducationAny Graduate
SalaryAs per Industry Standards
IndustryInternet/Dot com/ISP
Functional AreaProduction/Manufacturing/Maintenance/Packaging
EmploymentTypeFull-time

Job Description

Position: Product Engineer, Machine Learning AcceleratorsLocation: Remote eligible, MexicoExperience Level: MidOverview:Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.Important:Please submit your resume in English - we can only consider applications submitted in this language.Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.Note: Googles hybrid workplace includes remote roles.Minimum Qualifications:

  • Bachelors degree in Engineering or equivalent practical experience.
  • 8 years of experience in manufacturing.
  • Experience in design for manufacture and serviceability.
  • Experience in PCBA (Printed Circuit Board Assembly) and related system assembly.
Preferred Qualifications:
  • Masters degree or PhD in Electrical, Mechanical, Industrial, Materials, or a related engineering field.
  • 10 years of experience in developing supply chains in manufacturing and test.
  • Experience with contract manufacturers and suppliers to drive root cause analysis, corrective actions and continuous process improvements.
  • Experience working with ODMs, and component suppliers for data center server accelerator products (GPU, FPGA or ASIC).
  • Experience of bring-up or bench testing hardware in a lab environment.
  • Knowledge of SQL queries and scripting in Python or Bash.
About the JobBe part of a team that pushes boundaries, developing custom silicon solutions that power the future of Googles direct-to-consumer products. Youll 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.The Machine Learning Supply Chain and Operations (MLSCO) team is responsible for the deployment of Machine Learning capacity in Googles Fleet. MLSCO-NPI leads cross-functional program planning and execution to deliver next generation Machine Learning systems from Concept to operational speed.Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Googles product portfolio possible. Were proud to be our engineers engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.Responsibilities
  • Lead the technology assessment for new products. Co-work with the product team to influence design decisions, highlight manufacturing risks, and develop mitigation plans.
  • Collaborate with Quality and Reliability Engineers to establish NPI and production targets for yield and reliability. Validate product qualification plans, support reliability testing and review results to ensure product performance meets requirements.
  • Lead cross-functional team towards resolution of components and build quality excursions during New Product Introduction build phases.
  • Provide on-site and remote support for pre-production builds. Ensure factory readiness, support manufacturing line bring-up, provide product debug training and gather feedback on build issues. Manage and drive yield bridge analysis to improve product quality.
Disclaimer:Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Googles 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 Googles 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.

Keyskills :
machine learning systems supply chain development manufacturing process improvement hardware testing sql and python scripting circuit board production product engineer action alias new product introduction innovation npi root cause analysis

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