Methodology Lead Engineer, Quality Assurance, Silicon

Company: Google
Location: Mountain View
Posted on: June 21, 2022

Job Description:

Minimum qualifications:Master's in Electrical Engineering or equivalent with 6 years of hands-on experience in semiconductor product designExperience with Quality Assurance, tools and metrics, as well as foundry design kits and collateral quality assuranceExperience in scripting, Tcl, Pearl, PythonExperience with both the SOC design flow and analog design flow, also with verification methodologiesPreferred qualifications:Experience with IP verificationKnowledge and experience in with front-end tools such synthesis, lint, logic equivalence, static timing analysis, CDC, UPF, version controlKnowledge and experience with back-end layout and verification toolsKnowledge and experience in CAD tools and methodologies development About the job Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users. With your technical expertise, you lead projects in multiple areas of expertise (i.e., engineering domains or systems) within a data center facility, including construction and equipment installation/troubleshooting/debugging with vendors.You will be part of a team developing advanced System On Chips (SOC) for our consumer devices. In this role, you will work closely with different cross-functional teams and with external vendors.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. Responsibilities Defining Google IP quality standards, metrics for IP, and automating the process by developing internal tools, scripts and when necessary rely on third-party tools.Identify quality needs, defining and implementing an IP quality flow, and tools to ensure all IP are meeting Google standards.Work with IP partner vendors to ensure IP deliverables are good and delivery methods work seamlessly within the IP quality flow.Identify design sign-off anomalies and define corrective actions.Monitor post-silicon IP quality results, identify areas for improvement, grade the IPs and provide scorecards. Develop IP quality dashboards to detect quality issues.

Keywords: Google, Mountain View , Methodology Lead Engineer, Quality Assurance, Silicon, Engineering , Mountain View, California