Software Engineer, Power Management, Silicon

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  
• Experience applying AI/ML algorithms to analyze use case activity data using Python, C++, and/or TensorFlow.
• Experience on power/performance management algorithms of Android systems.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
  
• Experiences on SOC problem identification, analysis, creative solutions, and project impacts.
• Experience with performance analysis and profiling for system-on-chip (SoC) architectures using hardware performance counters (PMUs).
• Experience with Software coding to interpret and modify current power management algorithms (C/C++, Linux, Python, TensorFlow).
• Knowledge of AI/ML models such as LLM (Large Language Model), image generation.

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 works to achieve the industry-best vertical optimization across mobile processor, operating system, and application software.

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

• Implement software prototypes (codes) for AI energy efficiency (e.g., Generative AI, Large Language Model, Multi-modal, Text-to-Image, and Image Enhancement).
• Manage DVFS (Dynamic Voltage and Frequency Scaling) software development for future GenAI use cases.
• Explore energy efficient AI processing on mobile processors. 
• Analyze hardware/software profile data to identify energy/performance inefficiency areas for future AI use cases.
• Evaluate and debug the proposed solution in silicon and devices.