Senior Silicon Design Verification Engineer, Google Cloud
Google · Bengaluru · onsite · Posted 2d ago
Not disclosed8–10 yrsfulltimeSourced from
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About this role
In most instances, this position requires in-person interviews as part of the hiring process.Minimum qualifications:
The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Responsibilities
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 8 years of experience in Verification, verifying digital logic at RTL level using SystemVerilog or Specman/E for Field Programmable Gate Arrays (FPGAs) or ASICs.
- Experience in verification and debug of IP/subsystem/SoCs in the networking domain such as packet processing, bandwidth management, and congestion control.
- Experience verifying digital systems using standard IP components/interconnects (e.g., microprocessor cores, hierarchical memory subsystems).
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- Experience with performance verification of ASICs and ASIC components.
- Experience with ASIC standard interfaces and memory system architecture.
- Experience in artificial intelligence/machine learning (AI/ML) accelerators or vector processing units.
The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Responsibilities
- Plan the verification of digital design blocks by fully understanding the design specification and interacting with design engineers to identify important verification scenarios.
- Create and enhance constrained-random verification environments using SystemVerilog and Universal Verification Methodology. Verify designs with SystemVerilog Assertions and industry leading formal tools.
- Identify and write all types of coverage measures for stimulus and corner-cases.
- Debug tests with design engineers to deliver functionally correct design blocks.
- Close coverage measures to identify verification holes and to show progress towards tape-out.
Sourced from foundit
Skills
verificationSystem VerilogSystem Verilog assertionsDebugcongestion controlpacket processingMemory system architectureASIC standard interfacesFormal ToolsSpecman ebandwidth managementAI/ML AcceleratorsUniversal Verification Methodologyvector processing unitsArtificial IntelligenceMachine LearningIP subsystem SoCs
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