Staff Software Engineer, Embedded Drivers & Systems

Google; Town of Montana (WI); On-site; USD 207,000 - 300,000; Full time

Job summary

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 beyond web search, with opportunities to switch teams as the company grows.

The AI and Infrastructure team delivers breakthrough capabilities at unparalleled scale, supporting Google Cloud, Vertex AI, and global services, while protecting security and reliability

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 in Kernel Drivers and GPU Drivers.

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.

Skills

Software development

Embedded systems

Kernel drivers

GPU drivers

Software architecture

Testing and launching software

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in Engineering, Computer Science, or a related technical field

Job description

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 beyond web search, with opportunities to switch teams as the company grows.

The AI and Infrastructure team delivers breakthrough capabilities at unparalleled scale, supporting Google Cloud, Vertex AI, and global services, while protecting security and reliability