Staff Software Engineer, Performance, Pixel
Job Summary
Job Description
- 8+ years software development experience
- 8+ years Linux Kernel/OS/Embedded Systems experience
- Performance analysis and tuning expertise
- Proficiency in C++ and C
- Strong software design and architecture skills
- Master's/PhD in related field
- Experience with data structures/algorithms
- Technical leadership experience
- Cross-functional project experience
- Hardware architecture, Android Internals, BSP, Android Kernel knowledge
- Bonus
- Equity
- Benefits
7 skills required
Job Details
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 8 years of experience with Linux Kernel, Operating Systems, Embedded Systems, Performance Analysis, Performance Tuning, and coding in C++, C.
- 3 years of experience with software design and architecture.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures or algorithms.
- 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.
In this role, you will work with cross-functional teams to create innovative and efficient solutions that utilize system resources such as CPU and fabric in System on-a-chip (SoC), and ensure systems run 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.
The US base salary range for this full-time position is $197,000-$291,000 + 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.
Responsibilities
- Provide technical leadership on high-impact 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.
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