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Amazon Sr Embedded Development Engineer 
United States, California, Sunnyvale 
63623412

04.09.2024
DESCRIPTION

Work hard. Have fun. Make history.The Role:Drive the architecture of the complex multi-platform with the focus on power and performance. Review hardware designs, review vendor solutions, select chip-sets. Architect and develop core modules. Design of new features in software applications, tools, and services using object-oriented design, C/C++ , Rust. Diagnose and optimize power and performance bottlenecks in the system tied to the use of system resources like , CPU and memory. Gather business and functional requirements from external and/or internal customers and end-users, and translate requirements into technical specifications to build robust, scalable, supportable solutions that work well between a range of complex . Serve as technical throughout the development lifecycle, end-to-end, from scoping, planning, conception, design, implementation and testing, to documentation, delivery and maintenance. Provide design reviews for other engineers, including feedback on architecture and design issues, as well as integration, performance and scalability. Manage resources on multiple technical projects and ensure schedules, milestones, and priorities are compatible with technology and business goals.Key job responsibilities
Build OS. Improve, track, measure OS performance. Look for better ways to achieve high performance bar for our products.A day in the life
- Build tools to measure OS performance
- Come up with and drive to completion ideas about performance improvement of OS, middleware and apps- Go deep on the most complex, system and hardware wide issues

BASIC QUALIFICATIONS

- Experience leading the design, automation, deployment, and support of large-scale infrastructure
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with Linux/Unix
- Experience with CI/CD pipelines build processes


PREFERRED QUALIFICATIONS

- Experience with distributed systems at scale