Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft's expanding Cloud Infrastructure and responsible for powering Microsoft's "Intelligent Cloud" mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive, and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and deliver trusted experience to customers and partners worldwide and we are looking for passionate engineers to help achieve that mission.
The Azure Firmware/Software Center of Excellence is looking for a Senior Software Engineer to be a key leader in leveraging cutting edge AI capabilities to improve efficiency as we develop and light up innovative hardware solutions that power Azure. From driving integration of the latest AI developer tools to building new AI applications to streamline fleet management and quality improvement, this role is about innovation at scale as we strive to make our world-class infrastructure even better.
This hands-on role will provide technical leadership across the organization and on a growing team tasked with accelerating our productivity and processes so that every developer can achieve more. To be successful in this role you have a great track record of delivering quality results to customers, an engineering mindset, an innate aptitude for agility, and technical excellence in software engineering.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
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), andinterprets 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 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 edgedevelopments across thefast-moving AI landscape. Distill and propagate the latest advances throughout the team.
Provide overarching technical leadership and direction to a team focused on driving adoption of and innovation through the latest AI capabilities.
Embody our culture (https://careers.microsoft.com/v2/global/en/culture) and values. (https://www.microsoft.com/en-us/about/corporate-values)
Qualifications
Minimum Qualifications:
Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
Hands-on experience using latest AI development tools to drive engineering efficiency.
Hands-on experience in Embedded Linux based Server Manageability.
Proficient data engineering and ML experience with large language models.
Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to, the following specialized security screenings:
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
Proven ability to plan, schedule and deliver high quality software.
Experience working in collaborative teams and cross-group efforts.
Solid data engineering and ML experience with large language models.
Hands-on experience in Embedded Linux based Server Manageability
3+ 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.
High tolerance to ambiguity and ability to make progress when situations are in flux.
Self-motivated and able to work independently with minimal supervision
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: US corporate pay information | Microsoft Careers (https://careers.microsoft.com/v2/global/en/us-corporate-pay.html)
Microsoft will accept applications for the role until July 16th, 2025.
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Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .
