Senior Software Engineer - Host Networking & Hardware Acceleration

As a Senior Software Engineer in the Host Networking and Hardware Acceleration team, you will contribute to the Azure host networking infrastructure, leading hardware and software co-design efforts to provide reliable and performant networking for Azure hosts. You will also deliver Network Interface Card (NIC) software for artificial intelligence (AI) and other Azure workloads.

An ideal candidate will have a passion for distributed systems, low-level programming, operating system (OS) internals, virtualization, large-scale systems, performant design, and test methodologies. You should also enjoy working on a fast-paced team that owns one of the most impactful services in the world.

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 field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, Rust, C++, or Python
  • OR equivalent experience.  
• 4+ years of experience working in low level systems development (Ex. networking, drivers, etc.).
• 1+ year(s) experience in leading projects.
• 1+ year(s) technical experience with computer networking, and general cloud technologies.

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 field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, Rust, C++, OR Python 
  • OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, Rust, C++, OR Python 
  • OR equivalent experience. 
• Experiencee working in general cloud technologies is a plus.

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: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until July 14, 2025.

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• Partners with appropriate stakeholders to determine user requirements for a set of scenarios.
• Leads development and identification of dependencies and the design documents for a product, application, service, or platform. Leads by example and mentors others to produce extensible and maintainable code used across products.
• Leverages subject-matter expertise of cross-product features with appropriate stakeholders (e.g., project managers) to drive multiple group's project plans, release plans, and work items.
• Holds accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, working on-call to monitor system/product/service for degradation, downtime, or interruptions.
• Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale and shares knowledge with other engineers.