Microsoft Software Engineer II 

United States, Washington 

589789630

As a Software Engineer II, you will be critical in designing and delivering the next generations of High Performance Computing (HPC) to enable a wide variety of customer workloads including weather prediction, electronic design attestation, computational fluid dynamics and more. You will be challenged across a wide spectrum of hardware architectures, network types and processor types. You will part of delivering an end-to-end vertical view, with continuous focus on customer value, quality, performance and automation.

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
  • OR equivalent experience.

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.

• 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 Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
  • OR equivalent experience.
• 2+ years of experience in HPC or Machine Learning and familiarity with drivers, debugging low-level system code.
• Experience on Profiling and Performance Analysis Tools.
• Experience on High Performance Computing / Machine Learning middleware, Distributed Systems, Cloud Infrastructure and Accelerators.

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 23th, 2025.

• We are looking for someone who is curious, passionate about quality, prioritizes customer success and drives results. You will join a phenomenal team of hardworking engineers building highly available, reliable, and maintainable systems, deploying large scale infrastructure and supporting dynamic and high-performance solutions at massive scale. The following values drive us:
• Willing to dive deeply into any level or layer of a problem and willing to learn emerging technologies, from hardware to software. Evaluate and make recommendations that advance Azure infrastructure for HPC and AI (Artificial Intelligence) CPU-based workloads.
• Leads by example within the team by producing extensible and maintainable code. Optimizes, debugs, refactors, and reuses code to improve performance and maintainability, effectiveness, and return on investment (ROI). Applies metrics to drive the quality and stability of code, as well as appropriate coding patterns and best practices.
• Drives identification of dependencies and the development of design documents for a product, application, service, or platform.
• Creates, implements, optimizes, debugs, refactors, and reuses code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).
• Acts as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate.
• Your mission will be to help ensure Azure platform is consistent on performance, can scale on-demand, and engineered to withstand the unparalleled computing demand from the customer workloads. You will help building a test-driven engineering culture to reduce regressions and bugs in production and will set a higher bar for infrastructure quality.

Other

• Embody our and