Overview
You might have seen recent announcements about integrating AI Experiences in Windows – do you want to be on the team building these new, magical and compelling features that will revolutionize how people engage with Windows? Do you want to work with a fun, diverse and geo-distributed team that will be at the heart of the AI innovation in Windows?
If so, we have an exciting opportunity for you!
The Windows Trust Experiences team is responsible for driving innovation for new privacy user interfaces used by Windows customers around the world.
We’re looking for a collaborative, inclusive and customer obsessed Software Engineer to help us build the future of AI-powered Windows Experiences to delight Windows customers as we enable them to achieve more.
As a Windows Privacy Engineer, you will be part of a team that designs, develops, and maintains the privacy settings and features in Windows 11.
You will work closely with other engineers, product managers, legal and compliance professionals, and user researchers to ensure that Windows 11 provides users with transparency, choice, and control over their personal data. You will also collaborate with AI experts to ensure that Windows 11 uses AI responsibly and ethically.
Qualifications
The ideal candidate for this role has the following skillset and experience:
Required Qualifications:
Preferred Qualifications:
Responsibilities
As a Software Engineer in the Windows Trust Experiences Engineering team, you will be responsible for using C++, WinRT and WinUI to design, develop, test, and deploy high-quality software solutions for Windows users.
You will have the opportunity to collaborate with a diverse and supportive group of Developers, Program Managers, UX Designers, AI/ML Scientists and User Researchers to deliver features that leverage AI technologies (such as speech, vision, natural language processing, and machine learning, and more) in an integrated, seamless and polished fashion.
You will also have an opportunity to contribute to the overall technical vision and strategy of the “architectural how” of how we build a scalable architecture with great fundamentals (such as performance, power, reliability).