Software Engineer, Silicon, Power and Performance Optimization

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with software development in one or more programming languages.
• 2 years of experience with power/performance management algorithms on Android systems.
• 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
  
• Experience with test automation frameworks and unit/integration testing on Android.
• Experience with AI/ML models such as LLM (Large Language Model) or audio/image generation models.
• Understanding of Android system architecture, including Inter-process communication (IPC) mechanisms, Binder, and system services.

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.

Our team aims to achieve industry-leading power and performance efficiency for AI/ML workloads. We focus on developing and prototyping innovative solutions for power management and performance optimization of AI/ML technologies running on Android-based services and Google's custom silicon. We aim to identify optimization opportunities across the software stack to enhance energy efficiency for cutting-edge AI features.

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.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Analyze power and performance characteristics of AI/ML workloads running on Android-based services and custom silicon.
• Prototype and develop software optimizations to improve power and performance for AI/ML workloads, identifying bottlenecks and enhancing energy efficiency for use cases like Generative AI and Large Language Models.
• Collaborate with hardware architects, AI research teams, and Android framework engineers to understand system behavior and integrate power/performance improvements.
• Develop and utilize tooling for profiling, analysis, and evaluation of power and performance impacts of proposed software changes.
• Contribute to the full software development lifecycle, including design, coding, testing, and documentation, ensuring high-quality and maintainable code.