Software Engineer, Developer Tools, Silicon

Google•Apply•Published 1 months ago•First seen 1 months ago

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.

Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.

Responsibilities

Develop software tools and scripts for the diagnosis and analysis of system issues on Google custom silicon. Structure and format analytics to ensure seamless integration with both text-based and web-based visualization solutions.
Collaborate with microcontroller firmware owners or Linux driver owners to deliver necessary on-chip software modifications, thereby facilitating the tool workflow.
Assess hardware architecture, work with hardware prototypes, and participate in hardware/software co-designs to fully understand and unblock features related to debugging and performance.
Integrate and leverage AI capabilities to analyze system failures and help identify root causes. Formulate tool workflow and output format to facilitate AI-driven tool invocation.

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
1 year of experience with software development in one or more programming languages (e.g., C++ or Python).

Preferred qualifications:

Master's degree in Electrical Engineering, Physics, Mechanical Engineering, Computer Science or a related field.
Experience developing tools upon ARM coresight architecture, commercial Joint Test Action Group (JTAG) debug solutions, or other debugging methodology on the hardware/software boundary.
Experience designing developer tools for integration with AI/Large Language Model (LLM) workflows.
Experience in Linux kernel, embedded systems, firmware or chipset bring-up.