Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development, and with data structures/algorithms.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• Experience with Linux Kernel, Operating Systems, Embedded Systems, Performance Analysis, Performance Tuning, and coding in C , C.

Preferred qualifications:

• Master's degree or PhD in Engineering, Computer Science, or a related technical field.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in an organization involving cross-functional or cross-business projects.
• Experience with hardware architecture, Android Internals, Android board support package (BSP), and Android Kernel.

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.

The Pixel Device Performance Software team is responsible for performance for Pixel phones and tablets, from developing operating system performance management software, tuning device policy, collecting performance metrics, to analyzing and profiling workloads. The team works with cross-functional teams to create innovative and efficient solutions that utilize system resources such as CPU and fabric in System on-a-chip, and ensure systems run smoothly to support key use cases.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

The US base salary range for this full-time position is $189,000-$284,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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

• Provide technical leadership on projects.
• Develop new algorithms for improving Android workload efficiency and evaluate software and hardware design choices on key workloads.
• Design, develop, test, deploy, maintain, and enhance software solutions.
• Analyze the utilization of the key component of System on a Chip (SoC) like Central Processing Unit (CPU), Graphics Processing Unit (GPU), and Fabric.
• Evaluate software and hardware design choices on key workloads and define, design, and implement approaches to increase software performance.