Junior SoC Design Verification Engineer, Google Cloud
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Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
- 1 year of experience with using verification components and environments in standard verification methodology.
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture, or a related field.
- Experience creating and using verification components and environments in standard verification methodology.
- Experience verifying digital systems using standard IP components/interconnects (e.g., microprocessor cores, hierarchical memory subsystems)
- Experience verifying digital logic at RTL level using SystemVerilog or Specman/E for Field Programmable Gate Arrays (FPGAs) or ASICs.
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll 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.
As an SoC Design Verification Engineer, you will work as part of a Research and Development team, and your responsibilities will include building verification components, constrained-random testing, system testing, and verification closure. As part of our server chip design team, you will use your design and verification expertise to verify complex digital designs. You will collaborate closely with design and verification engineers in active projects and perform verification. Using your UVM and SystemVerilog coding and problem-solving skills, you'll build efficient and effective constrained-random verification environments that exercise designs through their corner-cases and expose all types of bugs. You will be responsible for the full lifecycle of verification which can range from verification planning, test execution or collecting and closing coverage.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
- Verify designs using verification techniques and methodologies.
- Work cross-functionally to debug failures and verify the functional correctness of the design.
- Provide test plans, including verification strategy, environment, components, stimulus, checks, and coverage, and ensure documentation is easy to use.
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