Google
Data Center Quality Engineer, Machine Learning GPU Platforms
Google - Austin, Texas, us, 78716
Work at Google
Overview
- View job
Overview
Data Center Quality Engineer, Machine Learning GPU Platforms
Join to apply for the
Data Center Quality Engineer, Machine Learning GPU Platforms
role at
Google . Note: By applying to this position, you will have the opportunity to share your preferred working location from the following options:
Austin, TX, USA; Austell, GA, USA; Council Bluffs, IA, USA; Pryor Creek, OK 74361, USA . Minimum qualifications:
Bachelor's Degree in Electrical Engineering, Computer Science, Computer Engineering, Mechanical Engineering, Industrial, Materials or other relevant engineering field or equivalent practical experience. 8 years of experience in Quality, Manufacturing, or Product Engineering of cloud hardware technology or electronic hardware systems. Experience with advanced statistical methodologies (e.g., DOE, SPC, Six Sigma, FMEA, ANOVA, MSA, Fishbone). Data analysis and visualization skills using SQL, JMP, R, Matlab, Tableau, Power BI, or Python+. Preferred qualifications:
Master's degree or PhD in relevant engineering fields. Certification in CRE/CQE or similar. Experience in manufacturing assembly processes, product launches, and process optimization. Leadership experience in cross-functional engineering teams. Technical leadership, project management, and communication skills. Ability to travel up to 20% as needed. About The Job
Be part of a team developing custom silicon solutions powering Google's products. Contribute to innovations that impact millions worldwide, focusing on integrating NVDA platforms into data center environments, diagnosing system issues, and understanding system components. Responsibilities include providing technical leadership, driving process improvements, analyzing data for insights, and managing multiple projects. Google is an equal opportunity employer committed to diversity and inclusion. We offer comprehensive benefits and competitive salaries based on location, experience, and skills.
#J-18808-Ljbffr
Join to apply for the
Data Center Quality Engineer, Machine Learning GPU Platforms
role at
Google . Note: By applying to this position, you will have the opportunity to share your preferred working location from the following options:
Austin, TX, USA; Austell, GA, USA; Council Bluffs, IA, USA; Pryor Creek, OK 74361, USA . Minimum qualifications:
Bachelor's Degree in Electrical Engineering, Computer Science, Computer Engineering, Mechanical Engineering, Industrial, Materials or other relevant engineering field or equivalent practical experience. 8 years of experience in Quality, Manufacturing, or Product Engineering of cloud hardware technology or electronic hardware systems. Experience with advanced statistical methodologies (e.g., DOE, SPC, Six Sigma, FMEA, ANOVA, MSA, Fishbone). Data analysis and visualization skills using SQL, JMP, R, Matlab, Tableau, Power BI, or Python+. Preferred qualifications:
Master's degree or PhD in relevant engineering fields. Certification in CRE/CQE or similar. Experience in manufacturing assembly processes, product launches, and process optimization. Leadership experience in cross-functional engineering teams. Technical leadership, project management, and communication skills. Ability to travel up to 20% as needed. About The Job
Be part of a team developing custom silicon solutions powering Google's products. Contribute to innovations that impact millions worldwide, focusing on integrating NVDA platforms into data center environments, diagnosing system issues, and understanding system components. Responsibilities include providing technical leadership, driving process improvements, analyzing data for insights, and managing multiple projects. Google is an equal opportunity employer committed to diversity and inclusion. We offer comprehensive benefits and competitive salaries based on location, experience, and skills.
#J-18808-Ljbffr