Microsoft's AI Frameworks team is at the forefront of developing cutting-edge AI software used to train and deploy the world's most advanced AI models. This senior role focuses on infrastructure engineering, specifically targeting cloud security, infrastructure as code, monitoring, and deployment of internal systems.
The position offers a unique opportunity to work at the intersection of AI algorithmic innovation, purpose-built AI hardware, systems, and software. As part of a cross-disciplinary team, you'll collaborate with hardware teams and partners to build software stacks for Microsoft's next-generation supercomputers and the new Maia-100 AI accelerator.
The role requires strong technical expertise in cloud technologies, C/C++, and Python, with a focus on infrastructure development for large codebases. You'll work closely with the Engineering Systems team to provide and improve workflows across various programming languages and domains. The position demands both hands-on development skills and the ability to design robust architectures.
This is an excellent opportunity for someone who combines technical depth with collaborative skills, as you'll be working with ML researchers and developers to optimize and scale out model training and inference. The role offers competitive compensation, comprehensive benefits, and the chance to contribute to Microsoft's mission of empowering every person and organization on the planet to achieve more.
The position is based in Vancouver, Canada, with up to 100% work from home flexibility and minimal travel requirements (0-25%). You'll be part of a team that values innovation, inclusion, and continuous learning, with opportunities to contribute to the open-source community and work on transformative AI technologies.