Staff Software Engineer, Pixel Performance
Job Summary
Job Description
- 8+ years software development experience
- 5+ years testing and launching software
- 5+ years Linux Kernel, OS, embedded systems experience
- Data structures and algorithms expertise
- Software design and architecture experience
- Master's/PhD in related field
- Performance optimization and analysis experience
- Experience with embedded processors, Android BSP, Android OS, or a compiler
- Technical leadership experience
- Experience in complex, matrixed organizations
- Low-level hardware architecture (ARM) knowledge
6 skills required
Job Details
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.
- 5 years of experience with Linux Kernel, operating systems, and embedded systems.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 7 years of experience with performance optimization and analysis, embedded processors, performance tuning, Android BSP, Android operating system, or a compiler.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- Experience with low-level hardware architecture details, such as ARM.
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.
As a Staff Software Engineer, Pixel Performance, you will be responsible for performance for Pixel phones and tablets, and will focus on SoC platform and device performance characterization and optimization, establishing, and improving performance KPIs. You will develop OS performance management software and tuning device policy, analyze metrics and profile workloads, analyze lab and field performance issues, and improve performance on future hardware architectures. You will also work across various functional teams to create innovative and efficient solutions utilizing system resources such as CPU and fabric in the SoC and ensuring the system runs smoothly to support key use cases.
The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.
Responsibilities
- Design performance management related software components for Pixel devices.
- Develop innovative algorithms to improve Android workload efficiency (e.g., DVFS, governors, scheduler, runtimes).
- Improve performance and power efficiency for Pixel devices by identifying and analyze critical user journeys, evaluate software and hardware design choices on key workloads, and debug difficult software optimization issues.
- Define, design, and implement novel approaches to make our software significantly more performant.
- Analyze the utilization of the key component of System on a Chip (SoC) like CPU, GPU, and memory subsystems.
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