In this role you will be working on ASIC development, validation, software, tools, and methodologies and have the ability to push the boundaries of chip-development and hardware/software integration and validation.
You will contribute to cross-functional work streams focused on Hardware/Software(HW/SW) integration and validation to demonstrate HW, SW, and system functionality and performance. Help the chip team accomplish silicon development criteria, meet chip and system schedules and achieve readiness for production in various silicon and system validation environments. Serve as a bridge between specification, design, and verification teams as well as compiler and performance teams with technical and breadth across the Machine Learning compute IP.
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.
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