Staff Software Engineer Linux Kernel

Staff Software Engineer – Linux Kernel

As a Software Developer, you will work within a distributed team to develop solutions for our custom CPUs. You will focus on Linux kernel, boot firmware, and low-level libraries, collaborating with hardware and software teams to ensure optimal performance, efficiency, and security. Your role also includes optimizing existing software and enabling new architectural features.

Technical Skills and Expertise:

· Deep understanding of computer architecture concepts, including high-performance designs, weak memory models, server platforms, and the hardware/software interface
· Proficient in C, assembly language, and build systems
· Experience in systems programming with Python or similar languages
· Well-versed in distributed version control systems and modern software development best practices
· Expertise in developing software virtual platforms; low-level boot firmware; and debugging tools, in pre-silicon and on hardware
· Experience building to platform standards including UEFI, ACPI, SystemReady

Role and Responsibilities:

· Assist in defining future high-performance SoCs and platforms
· Collaborate with the performance team to identify hardware optimization areas
· Create optimizations and drivers for high-performance platforms
· Ensure existing Operating Systems run efficiently and identify opportunities for performance enhancements
Level of Responsibility:
· Autonomy: Work independently with minimal supervision.
· Communication: Use verbal and written skills to convey complex information to diverse audiences, including senior leadership and large groups.
· Influence: Have a notable impact on key organizational decisions by providing input to senior leadership.
· Task Management: Execute multi-step tasks requiring simultaneous cognitive abilities and memory management.
· Innovation: Exercise exceptional creativity to develop new ideas and innovative products/processes.
· Problem Solving: Use deductive and inductive reasoning to solve complex problems with advanced data analysis and interpretation.