Microsoft Senior Software Engineer 

Taiwan, Taoyuan City 

671471978

The Azure Firmware/Software Center of Excellence is looking for a

Job qualifications:

• A BS/BE in Electrical Engineering, Computer Science or related field or equivalent experience.
• A minimum of 10+ years of experience in BMC development or Embedded Firmware development
• Proficient C/C++ design and coding skills

• Hands-on experience using latest AI development tools to drive engineering efficiency.
• Proven ability to plan, schedule and deliver high quality software.
• Strong experience working in collaborative teams and cross-group efforts.
• Solid data engineering and ML experience with large language models.
• Exposure to BMC, IPMI, Redfish, Monitoring, and management functionalities firmware development from BMC side
• Experience with OpenBMC based BMC Firmware development is a plus
• Excellent debugging skills

• Experience with Security concepts of RoT, bootchain image validation, RSA encryption is an added plus
• Experience with GIT is an added plus
• Preferred Qualifications:
  • 7+ years of industry experience with common ML engineering programming languages and platforms, such as Python, ML Stack, Synapse.
  • Familiarity and understanding of hardware and firmware in Server Manageability domain: OpenBMC, DMTF MCTP, Redfish, PLDM, SPDM and RAS
  • Familiar with e2e machine learning development cycle, from model measurements / training/ evaluation to optimization/deployment, etc.
  • Experience working with large language models / multi-billion parameter models, focusing on their efficient training and online inference
  • Experiences in one of these training frameworks: Pytorch, Tensorflow, etc., and LLM is a plus.
  • Experience in big data mining, familiar with Hadoop/Spark is a plus.
  • Self-motivated and able to work independently with minimal supervision

This role is for a highly motivated Engineer who can leverage AI concepts to help build solutions suitable for Control plane management FW development and quality automation features.

• Utilize LLMs and agents to scale new AI initiatives in BMC and Rack Management using prompt engineering, MCP and A2A workflows
• Perform data analysis using a variety of analytical tools (Python, KQL, MLStudio, Synapse, Power BI, Fabric etc), and interpret results with actionable recommendations.
• Utilize Azure AI Foundry to automate business use cases around code generation, summarization, incident management, troubleshooting etc.
• Drive education and adoption of the latest AI developer tools across the organization. Establish and iterate on best known methods tailored to the team’s development goals and unique environments.
• Partner with stakeholders across the company to identify opportunities to build new AI-based solutions to improve engineering efficiency across development, validation, monitoring, and live support.
• Stay up to date on cutting edge developments across the fast-moving AI landscape. Distill and propagate the latest advances throughout the team.