Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products.
• 5 years of experience working with embedded operating systems.
• 3 years of experience with software design and architecture.
• Experience with embedded systems, ARM processor and Linux.

Preferred qualifications:

• Master's degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• Experience with diagnostics, networking and data analysis.

In this role, you will develop embedded software, diagnostics tests, tools in support of pre/post-silicon validation for inhouse SoCs, machine learning (ML) Systems (TPU/GPU) and compute servers. You will get an opportunity to do system health verification, performance characterization, and solve on-going reliability problems for millions of machines inside Google Data Centers across the globe. You will enable the hardware reliability and decision-making on hardware and software design and deployment. You will work on projects that push the limits of technologies and provide you with an opportunity to make a large impact, as the technologies include systems that support compute, search, machine learning, video transcoding, security, image processing etc.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 behind Google's groundbreaking innovations, empowering the development of 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $301000 (USD) 20% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities

• Provide technical leadership on high-impact projects.
• Influence and coach a distributed team of engineers.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
• Manage project priorities, deadlines, and deliverables.
• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.