Software Engineer, PhD, Early Careers, Platform System Software
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Minimum qualifications:
- PhD degree in Computer Science, a related field, or equivalent practical experience.
- Experience coding in C/C++ or Python.
- Experience with embedded systems, system software, and software integration.
Preferred qualifications:
- 1 year of experience with embedded Linux or Linux device drivers.
- Experience in code and system health diagnosis and resolution, and software test engineering.
- Familiarity with firmware development.
- Ability to start full-time role in 2026.
About the job
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 team behind Google's groundbreaking innovations, empowering the development of our 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
- Develop C/C++ firmware and system software, including device drivers (UART, I2C, SPI), simulators, and emulators. Optimize low-level hardware interaction and peripheral control for new features.
- Focus on the secure aspects of the boot process, such as confidential compute, attestation, security, etc.
- Navigate up and down the stack as needed. Implement new BIOS features, sometimes debugging a kernel driver, or interacting with the silicon designers.
- Identify root causes of complex issues within the AI hypercomputer systems.
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