PHY Design IP Integration Technologist, Machine Learning
Job Summary
Job Description
- PhD in EE/CS or equivalent
- Analog PHY design/integration experience (PCIe, UCIe, HBM)
- Design integration flows and requirements experience
- PHY Design IP selection and procurement
- Pre-silicon PHY IP integration
- Cross-functional team coordination
- Silicon product lifecycle experience
- Design specification writing
- Third-party IP sourcing
- PCIe, UCIe, HBM, Ethernet expertise
- Bonus
- Equity
- Benefits
2 skills required
Job Details
Minimum qualifications:
- PhD degree in Electrical Engineering, Computer Science, or equivalent practical experience
- Academic, educational, internship or project experience designing or integrating analog PHY designs (e.g., PCIe, UCIe, or HBM PHYs)
- Academic, educational, internship or project experience with design integration flows and requirements
Preferred qualifications:
- Experience coordinating designs through the entire silicon product lifecycle
- Experience writing design specifications
- Experience sourcing IPs from third-party vendors
- Expertise in one or more of the following standards: PCIe, UCIe, HBM, Ethernet
About the job
As part of the TPU interface design team, you will play a pivotal role in pushing the boundaries of technology to improve the performance and power of our TPUs. You will drive the selection, integration, and execution of our high speed IO Design IPs. In this highly cross-functional role, you will be tasked with specifying and meeting the technical requirements and coordinating all aspects of the IP integration across all phases of the silicon lifecycle.
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.
The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .
Responsibilities
- Contribute to PHY Design IP selection and procurement process.
- Own PHY Design IP planning and roadmap definition.
- Drive pre-silicon integration of PHY Design IPs.
- Coordinate PHY Design IP requirements with cross-functional teams (e.g., Design, Verification, Physical Design, DFT, Post-Silicon).
- Assist in post silicon bring-up and validation of PHY IP designs.
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