Senior Software Engineer, Silicon System Machine Learning Acceleration Full-time

Minimum qualifications:

• Bachelor’s degree in Computer Science, Electrical Engineering, related technical field, or equivalent practical experience.
• 5 years of experience with software development in C/C and data structures/algorithms.
• Experience with on-device machine learning.

Preferred qualifications:

• Experience of power and performance measurement and optimization.
• Experience with android software and hardware architectures.
• Experience with SoC architecture.
• Experience building embedded system software stack.

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

The Silicon team develops custom silicon solutions that provide differentiated user experiences in Google Hardware products and optimize performance and power for specific use cases. This includes SoCs (systems on a chip) and other mixed signal, logic, and sensor ICs (integrated circuits) for the product portfolio. You will partner with cross-functional teams to deliver software to enable a positive user experience on Pixel and other hardware products.

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

• Optimize ML model inference for Pixel devices to deliver a positive user experience.
• Measure power and performance of Pixel software and analyze issues.
• Contribute to the software and hardware architecture designs for Google’s future SoCs and software features.