Signal and Power Integrity Engineer, Machine Learning
Job Description
Google is seeking a Signal and Power Integrity Engineer to join their ML, Systems, & Cloud AI (MSCA) organization. This role combines hardware engineering with machine learning, focusing on developing custom silicon solutions for Google's direct-to-consumer products. The position involves leading chip and package design, ensuring optimal Signal Integrity (SI) and Power Integrity (PI) performance from concept to production.
The role is critical in shaping the future of Google's hardware experiences, working with cutting-edge technology including TPUs and hyperscale computing systems. You'll be part of a team that powers essential Google services like Search and YouTube, as well as Google Cloud's Vertex AI platform, which brings Gemini models to enterprise customers.
As a Signal Integrity/Power Integrity Engineer, you'll collaborate with cross-functional teams including Chip Design, IP, System Design, Software, and Vendors. Your responsibilities will encompass driving signal and power design implementations on chip and advanced packages, particularly focusing on High-Performance Computing based on 2.5D/3D package technology.
The position offers competitive compensation including a base salary range of $132,000-$189,000, plus bonus, equity, and comprehensive benefits. This is an excellent opportunity for someone with strong technical expertise in electrical engineering and signal integrity who wants to work on innovative hardware solutions at one of the world's leading technology companies.
Responsibilities For Signal and Power Integrity Engineer, Machine Learning
- Drive chip-package-system co-design by performing SI/PI analysis and optimization
- Collaborate with chip design team, system design teams and suppliers
- Provide feedback on chip floorplan considering package/system routability and SI/PI
- Develop methodology to enhance accuracy and productivity
- Support workflows for post-silicon validation and qualification of high speed interface
Requirements For Signal and Power Integrity Engineer, Machine Learning
- PhD degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience
- Experience with Signal and Power Integrity (SI/PI) fundamental concepts, microwave theory, or analog circuit design
- Experience in AMS (Analog Mixed Signal) design
- Experience in Matlab, Python, C++ to establish automation flows and data processing
- Experience with SIPI or microwave modeling tool chains (e.g., HFSS, ADS, Sigrity, Siwave, etc)
- Excellent programming and data analysis skills
Benefits For Signal and Power Integrity Engineer, Machine Learning
- Bonus
- Equity
- Benefits package
