Software Engineer II

Overview

Within Artificial Intelligence (AI) Platform, the Azure Machine Learning (ML) team enables data scientists and developers to quickly and easily build, train, deploy, manage, and consume machine learning models.

The Forge team manages Microsoft's accelerator fleet and provides platform to run all AI workloads. To achieve this, we collaborate closely with hardware & software partners, ML researchers and the open-source community. We are looking for a Software Engineer II to join our team! You will have the opportunity to work on the fundamental abstractions, programming models, and Application Programming Interfaces (APIs) that enable large scale training and inferring of the world's most advanced AI models.

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.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

• Design and develop systems in C#, Java, and other languages.
• Apply engineering principles for defining robust and maintainable architecture and designs.
• Collaborate broadly across multiple disciplines from hardware to ML developers.
• Identify requirements, scope solutions, estimate work, schedule deliverables.
• Help establish and drive the adoption of outstanding coding standards and patterns and help enhance our inclusive engineering culture.
• Other: Embody our Culture and Values

Qualifications

Required/Minimum 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#, Java, JavaScript, or Python
  • OR equivalent experience.
• Experience with Linux and Kubernetes

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/Additional Qualifications:

• Familiarity with Azure services (Azure Kubernetes Service (AKS), Virtual Machine ScaleSets)
• 2+ years of experience with Linux and Kubernetes
• Go and Python coding skills

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $94,300 - $182,600 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 $120,900 - $198,600 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 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.

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