About the job

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 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.

Responsibilities

• Design, develop and maintain the system software stack for Graphics Processing Unit (GPU) system software.

• Provide technical leadership to help formulate and drive software development plans.

• Help identify dependencies in cross-functional teams and drive New Product Introduction (NPI) execution with a focus on development velocity and quality.

• Set technical direction and priorities for a small number of adjacent engineers within and across teams, recommend solutions that consider both short and long-term goals.

• Drive system software integration to enable next generation GPU Accelerators for Google Data Center.

Minimum qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, a related technical field, or equivalent practical experience.

• 2 years of experience with software development in C or C++ programming languages.

Preferred qualifications

• Master’s degree in Computer Science, Electrical Engineering, a related technical field, or equivalent practical experience.

• Experience with the debugging, development, and testing work in the linux kernel.

• Experience designing and developing device drivers for peripherals (e.g., GPUs, PCIe Switches) and connectivity buses (e.g., I2C, USB, PCIe).

• Experience coding in Python.

• Experience in Linux, kernel, with the ability to read schematics.

• Excellent problem-solving and technical innovation skills.