Software Engineer III, Embedded Systems/Firmware, Platforms Infrastructure Engineering

In this role, you will manage project priorities, deadlines, and deliverables. You will also design, develop, test, deploy, maintain, and enhance software solutions.

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 force 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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Write product or system development code.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience in low level systems programming languages (e.g. C++ or C), or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience with working with embedded operating systems.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 2 years of experience with data structures or algorithms in either an academic or industry setting.
• 2 years of experience with performance, systems data analysis, visualization tools, or debugging.
• Experience developing accessible technologies.
• Proficiency in code and system health, diagnosis and resolution, and software test engineering.