Senior Machine Learning Physical Design Engineer

Join Google's Silicon team as a Senior Machine Learning Physical Design Engineer, where you'll be at the forefront of developing custom silicon solutions that power Google's direct-to-consumer products. This role combines physical design expertise with machine learning to optimize SoC Performance, Power, and Area (PPA). You'll work on improving logic design, floorplanning, place and route, clock and power planning, timing analysis, and Power Delivery Network analysis.

As part of Google's mission to organize the world's information, you'll collaborate with design, CAD, and machine learning teams across Alphabet. The position requires expertise in both traditional physical design and modern machine learning techniques, from logistic regression to neural networks and reinforcement learning. You'll be contributing to innovations that impact millions of users worldwide through Google's hardware experiences.

The ideal candidate brings a strong background in Synthesis and Physical Design, combined with deep understanding of machine learning algorithms and data structures. You'll be working at the intersection of hardware design and AI, applying cutting-edge machine learning techniques to solve complex chip design challenges. This role offers the opportunity to shape the future of Google's hardware while working with world-class teams including Google DeepMind.

This position represents a unique opportunity to impact Google's next generation of hardware products, combining traditional engineering expertise with modern AI techniques. You'll be part of a team that pushes boundaries in both silicon design and machine learning applications, working on projects that directly influence the performance and efficiency of Google's future products.