Job Description

Minimum qualifications:

• Bachelor's degree in Computer Science, Electrical Engineering or equivalent practical experience.
• 8 years of experience in program management.
• Experience in architecture, design, verification, implementation, or validation across 7 chip development cycles.
• Experience with managing technical cross-functional projects.
• Experience in leading, developing and growing teams.

Preferred qualifications:

• Master's degree or PhD in Engineering, or a related field.
• Experience as an engineer or manager in developing hardware or software systems around the chips.
• Experience with two or more chip cycles in a project management role with execution within resource and schedule constraints.
• Knowledge of data centers and cloud markets, technological and business trends, requirements, and ecosystem partners.
• Ability to collaborate to achieve goals.
• Excellent communication and facilitation skills.

Experience in architecture, design, verification, implementation, or validation across 7 chip development cycles.Experience in architecture, design, verification, implementation, or validation across 7 chip development cycles.

About the job

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

In this role, you will use technical and management experience to manage the development and execution of System on a chip (SoC) projects. You will plan programs and manage their execution from concepts through development to production. You will collaborate with architecture, design, verification, physical implementation and manufacturing teams throughout the SoC execution lifecycle. You will be making technical decisions for the chip designs and methodology, driving project schedules, identifying risks and communicating them to all stakeholders, and managing partner teams.

In this role, you will work to shape the future of an edge-AI product, bringing high-performance intelligence to the edge. You will have an opportunity to drive distributed inference technology that powers real-time systems where latency and reliability.

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.

In this role, you will work to shape the future of an edge-AI product, bringing high-performance intelligence to the edge. You will have an opportunity to drive distributed inference technology that powers real-time systems where latency and reliability.

Responsibilities

• Plan, coordinate, and deliver custom silicon products.
• Scope out the project, generate task lists, build a project timeline and work with the teams to make it into reality.
• Lead the data-motivated schedules and milestones, track the progress, identify potential future issues, and identify mitigations with the team leaders.
• Drive technical, budgetary, and schedule trade-off discussions with cross-functional teams.
• Manage project execution and issues through design, development, test, manufacturing, deployment and sustaining activities for silicon and hardware products.