Senior Software Engineer

Microsoft Silicon Cloud Hardware 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, Skype, OneDrive and the Microsoft Azure platform. The Data Processing Unit (DPU) group within SCHIE brings together experts in hardware and software design to build state-of-the art highly programmable microprocessor solutions to efficiently handle the large volume of data-centric workloads across Microsoft's platforms. 

We are looking for an experienced engineer with a background in data center networking, programming language runtimes, and/or computing frameworks. You will be part of a team developing compilers, assemblers, tooling and computing infrastructure for the DPU and will be involved in all phases of the software lifecycle including design, implementation, test, deployment and support. This opportunity will enable you to develop domain expertise in DPU technology and make significant contributions to foundational infrastructure in the Azure cloud platform. 

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. 

Required Qualifications 

• Bachelor’s degree in computer science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, Java, Scala, or Python 

• OR equivalent experience. 

• 4+ years experience designing scalable systems APIs and computing frameworks. 

• 2+ years experience working on compiler, assembler and/or linker internals including but not limited to LLVM, gcc and/or rustc. 

Other Qualifications

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 

• Master’s degree in computer science or related technical field and 6+ years technical engineering experience. 

• Experience developing and maintaining Rust applications and/or services. 

• Experience developing and/or debugging low level system software including operating system internals and virtualization technologies. 

• Experience co-designing hardware-software and working with hardware accelerators. 

• Familiarity with cloud computing technologies and distributed systems. 

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until January 17, 2025.

• Develop compilers, assemblers and tooling to translate networking protocol descriptions into micro-programs for network-oriented hardware accelerators on the DPU. 

• Collaborate on the design and implementation of core computing infrastructure for the DPU. 

• Improve existing systems and services to ensure exceptional stability, efficiency and maintainability. 

• Provide operational support to customers, addressing their diverse product feature needs. 

• Cultivate a deep understanding of the DPU computing model among our customers. 

• Engage with stakeholders across the organization. 

• Embody our organizational culture and values.