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Join a high-impact team of applied researchers and engineers where you'll dive deep into the full ML lifecyclefrom comprehensive data exploration to model evaluation and performance analysis. This role offers unique exposure to cutting edge machine learning applications while building your expertise in both analytical depth and ML systems.
What you'll be doing
Conduct comprehensive exploratory data analysis and deep-dive investigations across our full data ecosystem to uncover insights that drive ML and product strategy
Analyze ML model results, performance metrics, and conduct sophisticated model evaluations that inform algorithmic improvements
Design, implement, and analyze A/B tests while serving as a key contributor to our model evaluation and experimentation processes
Build analytical pipelines and automated systems that scale our ability to measure ML effectiveness and business impact
Create advanced dashboards and reporting systems that translate complex model performance into actionable business insights

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.
As an Executive CPU Design Verification Engineer, you will be a part of Research and Development team to verify digital designs, develop constrained-randomn test environments and drive system testing to closure. You will collaborate with design and verification teams, manage the verification life-cycle and uncover bugs through rigorous corner-case testing.

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 Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities
Plan and execute the verification of digital design blocks by understanding specifications and working with design engineers to define key verification scenarios.
Develop and refine random verification environments using SystemVerilog/UVM or Specman to ensure effective test coverage.
Define and implement various coverage measures to capture stimulus and corner-case scenarios.
Collaborate with design engineers to debug tests and ensure functional correctness of design blocks.
Drive coverage analysis to identify verification gaps and demonstrate progress towards tape-out.