Performance Modeling Manager, Software Engineering

About the Job

Be part of a team at Google 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 the Performance Modeling Manager, Software Engineering, you will lead a team of high-performing engineers responsible for the software performance models that are used to guide the future of Google’s custom silicon. You will bridge the gap between software architecture and hardware implementation, ensuring that our next-generation CPUs and NICs are optimized for Google’s most critical workloads, such as Gemini, Search, and Cloud AI.

In this role, you will lead a team of high-performing engineers in the development of sophisticated performance models and oversee the conduct of deep-dive architectural analyses. By guiding the team to explore various architectural alternatives under different scenarios, you will ensure the identification of bottlenecks and provide data-driven guidance to architects on preferred hardware implementations. Your focus will be on leading the technical roadmap and career development while maintaining high-level architectural influence across both CPU and NIC modeling domains.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving channel behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Responsibilities

• Build, lead, and mentor a team of performance modeling engineers, fostering a culture of technical excellence and innovation in the Tel Aviv and Haifa silicon space.
• Define the goal for performance modeling tools and methodologies, ensuring they provide highly accurate projections for future architectural pivots.
• Partner with Hardware Architects, Silicon Designers, and Software Workload teams to influence SoC specifications based on data-driven modeling results.
• Drive the development of advanced SystemC performance simulators and infrastructure, ensuring scalability and correlation with post-silicon performance.
• Serve as a subject matter expert in CPU/NIC micro-architecture, guiding the team through complex trade-off analyses (power, area, performance).

Minimum qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience.
• 15 years of experience in people management, leading engineering teams in a hardware or system-software environment.
• Experience in C++ performance modeling or micro-architectural simulator development.
• Experience with Central Processing Unit (CPU) or Network Interface Card (NIC) accelerator architectures.

Preferred qualifications

• PhD in Electrical Engineering, Computer Engineering, or equivalent practical experience.
• Experience delivering performance models for large-scale, high-performance silicon projects (from pre-silicon projection to post-silicon validation).
• Ability to translate complex technical data into clear business recommendations for executive leadership.

Key skills/competency

• Performance Modeling
• SystemC
• CPU Micro-architecture
• NIC Micro-architecture
• Silicon Design
• Hardware Architecture
• Software Engineering Management
• Data-Driven Analysis
• Technical Roadmap
• C++ Development