Methodology Lead Engineer, Quality Assurance, Silicon
Company: Google
Location: Mountain View
Posted on: June 21, 2022
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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
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