Design Engineer, Google Cloud
Job Summary
Job Description
- Bachelor's degree in Electrical Engineering or equivalent
- 5+ years RTL development experience (Verilog)
- Experience with PCIe, InfiniBand
- Micro-architecture, design, verification expertise
- Logic synthesis and timing closure experience
- Scripting languages (Python/Perl)
- Knowledge of arithmetic units, bus architectures
- High-performance and low-power design techniques
- FPGA, emulation platforms, SoC architecture knowledge
- Assertion-based formal verification
4 skills required
Job Details
Minimum qualifications:
- Bachelor's degree in Electrical Engineering or equivalent practical experience.
- 5 years of experience with RTL development for ASIC subsystems using Verilog.
- Experience with speed interfaces such as PCIe, InfiniBand, and their low latency, security, and reliability principles.
- Experience with micro architecture, design, verification, logic synthesis, and timing closure.
Preferred qualifications:
- Experience with scripting languages (e.g., Python or Perl).
- Knowledge of arithmetic units, bus architectures, processor design, accelerators, or memory hierarchies.
- Knowledge of high performance and low power design techniques.
- Knowledge of FPGA, emulation platforms, and SoC architecture.
- Knowledge of assertion-based formal verification.
About the job
In this role, you will use Application-Specific Integrated Circuit (ASIC) design to be part of a team that creates the System on a Chip (SoC) design cycle from start to finish. You will collaborate with design and verification engineers in projects, creating architecture definitions with Register-Transfer Level (RTL) coding, and running block level simulations. You will contribute in ASIC designs from design specification to production. You will collaborate with members of architecture, software, verification, power, timing, synthesis and more to specify and deliver high quality SoC/RTL. You will also solve technical problems with innovative micro-architecture and practical logic solutions, and evaluate design options with performance, power, and area in mind.
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
- Lead a complex ASIC subsystem.
- Understand how it interacts with software and other ASIC subsystems to implement groundbreaking data centers.
- Define high-performance hardware/software interfaces. Write micro architecture and design specifications.
- Define efficient micro-architecture and block partitioning/interfaces and flows.
- Collaborate closely with software, verification, and physical design stakeholders to ensure the designs are complete, correct, and performant.
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About The Company
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
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