Software Engineer II

Azure Virtual Desktop and Windows 365 are fundamentally changing the nature of personal computing, pushing computing to the cloud and making remote experiences better, more secure, and easier to manage than local. We are experiencing exponential growth given the explosion of hybrid work and the changing security landscape. We are hiring a Software Engineer II to help scale our product and build new and innovative AI powered experiences.
  

As a Software Engineer II on this team, you will get an amazing opportunity to demonstrate leadership at both the technology and business level. You will be part of a diverse, fast growing and agile team working with a motivated team of engineers and product managers. Our culture is more like a startup – we will do what is necessary to help customers be successful, move fast, and have fun building meaningful products and services!  

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 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Experience in applying, implementing, and/or developing algorithms for machine learning, artificial intelligence, or statistics.

Other Requirements

Abiity to meet Microsoft, customer and/or government security screening requirements that 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

• Experience with LLM and Deep learning model architectures, inference, fine-tuning and evaluation.
• Experience with building, debugging and optimizing large, high performance ML training jobs.

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $98,300 - $193,200 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 $127,200 - $208,800 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 January 3, 2025. 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

• Design and develop large scale distributed software services and solutions.    
• Adhere to and drive modern software engineering practices through design and code reviews.    
• System design through well-defined interfaces across multiple components, code reviews, leveraging data/telemetry to make decisions.    
• Develop “best-in-class” engineering for our services by ensuring that the services and the components are well-defined and modularized, secure, reliable, diagnosable, actively monitored and reusable.    
• Improve test coverage for services, organize and implement integration tests, and resolve problem areas.    
• Consider testability, portability/monitoring, reliability, and maintainability, and understand when code is ready to be shared and delivered.