ARM/BMC Architect

Lenovo Data Center division is seeking an experienced platform RAS, diagnostics, and software architect to define, design, and implement RAS and monitoring solutions for GenAI servers.

Ideal candidate will have a deep understanding of IO/DPU, BMC, UEFI, and ARM architectures, RAS principles, and system monitoring considerations.

Responsibilities:

• Work with our technology partners on understanding their technologies, products, and support capabilities, enhancing partner and Lenovo's end customer support, facilitates support knowledge transfer to support organization.
• Establish a win-win relationship with technology partners to identify and drive operational (vs. design validation) support solutions
• to address needs of end customers and support organization.
• Review current and future technology roadmaps to identify serviceability and supportability requirements and improvements.
• Conduct market research and competitive support benchmarking.
• Keep up with industry standards and best practices for serviceability and supportability of new technologies

Basic Qualifications:

• At least 15 years experience in software development, firmware development or similar
• MS in Computer Science, Electrical Engineering or Computer Engineering or equivalent experience.
• 4+ years of relevant industry experience in BMC, UEFI, CPU architecture, and networking protocols (or other equivalent experience).
• Expertise in current data center operating systems, ARM CPU architectures, and software development methodologies.
• Proficiencies in high performance computing, DDR, PCIe, and communication protocols such as Redfish, I2C, SPI, and MDIO.
• Strong understanding of server class baseboard management controllers (BMCs) and their respective communication protocols such as Redfish and IPMI.
• Comprehensive knowledge of server components, operating systems, and network protocols
• Strong hands-on programming in C, C++, Perl and Python.

Preferred Qualifications:

• 5+ years of experience in designing software and firmware for various compute environments.
• Expertise in current data center operating systems, ARM CPU architectures, and software development methodologies.
• Strong technical documentation skills and excellent written and verbal
• Strong hands-on programming in C, C++, Perl, Python and JavaScript.

• Experience with hardware performance tuning and application optimization.

• Working knowledge of virtualization principles such as SR-IOV and MIG (Multi-Instance GPU).