RTL Design Engineer
Job Overview
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Job Description
RTL Design Engineer at Google
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.
In this RTL Design Engineer role, you will use Application-Specific Integrated Circuit (ASIC) design experience to be part of a team that develops complex ASIC System-on-Chip (SoC) intellectual property from proof-of-concept to production. This includes creating IP Level microarchitecture definitions, Register-Transfer Level (RTL) coding and all RTL quality checks. You will also have the opportunity to contribute to design flow and methodologies, including design generation automation. You will collaborate with members of architecture, software, verification, power, timing, synthesis design for testing etc. You will develop/define design options for performance, power and area.
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.
Minimum Qualifications
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 4 years of experience with digital logic design principles, Register-Transfer Level (RTL) design concepts, and languages such as Verilog or System Verilog.
- Experience in logic design and debug with Design Verification (DV).
- Experience with microarchitecture and specifications.
Preferred Qualifications
- Experience with logic synthesis techniques to optimize Register-Transfer Level (RTL) code, performance and power as well as low-power design techniques.
- Experience with design sign off and quality tools (Lint, CDC, VCLP etc.).
- Experience in a scripting language like Python or Perl.
- Knowledge of SoC architecture and assertion-based formal verification.
- Knowledge of one of these areas, PCIe, UCIe, DDR, AXI, ARM processors family.
- Knowledge of high performance and low power design techniques.
Responsibilities
- Define the IP microarchitecture level design document such as interface protocol, block diagram, transaction flow, pipeline etc.
- Perform RTL development (coding and debug in Verilog, SystemVerilog).
- Conduct function/performance simulation debug and Lint/CDC/FV/UPF checks.
- Engage in synthesis, timing/power closure, and ASIC silicon bring-up.
- Contribute to verification test plan and coverage analysis of block and SoC-level.
Key skills/competency
- RTL Design
- Verilog/SystemVerilog
- Microarchitecture
- Digital Logic Design
- ASIC/SoC Development
- Design Verification (DV)
- Logic Synthesis
- Low-Power Design
- Python/Perl Scripting
- Timing/Power Closure
How to Get Hired at Google
- Research Google's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight your ASIC design, RTL coding, Verilog/SystemVerilog, and debug experience for Google's hardware roles.
- Showcase technical depth: Prepare for in-depth questions on digital logic, microarchitecture, synthesis, and verification methodologies.
- Practice behavioral questions: Emphasize your problem-solving skills, collaboration experience, and ability to innovate in a team setting.
- Network effectively: Connect with Google engineers on LinkedIn to gain insights and potentially learn about internal referrals.
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