Software Engineer, Staff – Linux Kernel

.Software Engineer – Linux Kernel
 

Overview:

As a Software Engineer, you will be part of a distributed team, contributing to the development of software solutions for custom CPU architectures. Your focus will be on the Linux kernel, boot firmware, and low-level libraries, working closely with hardware and software teams to optimize performance, efficiency, and security. You will also be responsible for enhancing existing software and enabling new architectural features.

Key Skills and Expertise:

• Strong understanding of computer architecture, including high-performance designs, weak memory models, server platforms, and the interaction between hardware and software.

• Proficiency in C, assembly language, and build systems.

• Experience in systems programming with Python or similar languages.

• Familiarity with distributed version control systems and modern software development practices.

• Expertise in creating software virtual platforms, low-level boot firmware, and debugging tools for both pre-silicon and hardware environments.

• Experience with platform standards such as UEFI, ACPI, and SystemReady.
   

Responsibilities:

• Contribute to the definition of future high-performance System-on-Chip (SoC) designs and platforms.

• Work with the performance team to identify areas for hardware optimization.

• Develop optimizations and drivers for high-performance platforms.

• Ensure the efficiency of existing operating systems and identify opportunities for performance improvements.
   

Level of Responsibility:

• Autonomy: Work independently with minimal supervision.

• Communication: Effectively convey complex technical information to diverse audiences, including senior leadership and large groups.

• Influence: Provide valuable input to senior leadership and have a meaningful impact on key organizational decisions.

• Task Management: Manage multi-step tasks that require strong cognitive skills and memory management.

• Innovation: Leverage creativity to develop new ideas and solutions that drive product and process innovation.

• Problem Solving: Apply both deductive and inductive reasoning to address complex issues, utilizing advanced data analysis and interpretation.