Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The GPU System Software team is responsible for building GPU compute solutions that power various Google services like Google Cloud, YouTube, Deep Mind, etc. We also maintain the systems deployed in the data centers with reliability monitoring services, kernel rollouts, firmware and driver upgrades.
As a Software Engineering Manager for the Graphics Processing Unit (GPU) Platforms Software team, you will lead the team and work with many cross-functional teams (e.g., hardware, system, data center deployment) to provide the foundational AI infrastructure that enables the AI applications for Google and Cloud customers.
Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Science, a related technical field, or equivalent practical experience.
- 2 years of experience in software, firmware and driver development in languages such as C/C++.
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering, Computer Science, or a related technical field.
- Experience designing and developing device drivers for peripherals like GPUs, PCIe Switches and connectivity buses like I2C, USB, PCIe.
- Experience using revision control systems like Git and Perforce.
- Experience in doing the debug, development, and testing work in the linux environment.
- Expertise in server system architecture, networking or embedded system.
- Expertise in problem-solving technical innovation.