At Xbox, we're committed to inclusivity and diversity. Even if you don't meet all qualifications listed below such as academic qualifications, we welcome your application. Your unique perspective and potential contributions are highly valued here.
Would you like to be at the forefront of AI and Gaming and work with state-of-the-art AI research and the top gaming studios in the world? Are you a dedicated tech lead that loves to design and build world-changing products while leading and mentoring a team of developers?
At Xbox Gaming AI, we are exploring new emerging technology trends to craft the next era of gaming. We are venturing beyond the horizon and charting a course forward with players and creators at the center. Our goal is to define the future of Xbox by advancing our mission of bringing joy and community to every player on the planet. If you value dynamic and agile teams that are proactively advocating for a diverse workforce, we have a great role for you.
We are seeking a competent Software Engineer II to join our team at Xbox Gaming AI to be a key part of the team that is building the next generation of AI-powered services and frameworks. As a key contributor, should be able to lead through example and influence. You will be responsible for driving innovation and excellence in software development, focusing on machine learning (ML) systems and developing scalable services and products that leverage the latest AI. If you are a forward-thinking engineering professional passionate about leadership in cutting-edge technology and possess an effective foundation in cloud and services with solid experience with ML and AI, we encourage you to apply.
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.
- Bachelor's Degree in Computer Science or related technical engineering experience with coding in languages including, but not limited to, C++, C#, Python, or React.
- Experience in cloud-native software development with proficiency in Azure and Dev Ops practices and related tools.
- Experience in gaming or AI development
Preferred Qualifications:
- Expertise in Azure infrastructure and services, particularly with Windows on Azure.
- Experience implementing RPA-based solutions in Windows.
- Expertise in video game development, particularly in automation.
- Previous exposure to Agile/Scrum development methodologies.
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. 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.
- Implementing AI models into scalable services and frameworks.
- Working across research, data science, and product management teams to ensure successful customer-centric solutions.
- Design and implement Azure-based solutions to scale ML/AI solutions across Xbox.
- Craft clean, efficient, and maintainable code across a range of technologies, including but not limited to C#, C++, Python, React, and Azure.
- Ability to provide solutions even in the absence of complete information, guiding the team through unexplored territories and influencing key decisions with a forward-thinking approach.
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