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Sponsorizzato da CourseraAbout the job
The Artificial Intelligence (AI) Frameworks team at Microsoft develops the AI software used to train and deploy the world’s most advanced AI models. We collaborate with our hardware teams and partners to build the software stacks for Microsoft’s next-generation supercomputers and the new Maia-100 AI accelerator. We work closely with ML researchers and developers to optimize and scale out model training and inferenceThe team operates at the intersection of AI algorithmic innovation, purpose-built AI hardware, systems, and software. We are a cross-disciplined team of highly capable and motivated people with a collaborative and inclusive culture. We collaborate with and contribute to the open-source communityAs a member of this team, you will have the opportunity to work on the the Software Development Kit (SDK), libraries and APIs to enable large scale training and inferencing of models on novel AI hardwareThis is a technical role: it requires hands-on software design and development skills. We’re looking for someone who has a demonstrated history of solving hard technical problems and is motivated to tackle the hardest problems in building a full end-to-end AI stack. An entrepreneurial approach and ability to take initiative and move fast are essentialResponsibilities
- Apply strong engineering principles for defining robust and maintainable architectures and designsa
- Collaborate broadly across multiple disciplines from hardware designers to ML developers
- Perform software development in C/C++, Python, and other languages
- Identify requirements, scope solutions, estimate work, schedule deliverables
- B.S. or advanced degree in computer engineering, computer science, or related fields
- 8+ years of software development experience
- 2+ years' experience with C/C++
- 1+ years’ experience with Python and Python Packaging
- A strong technical background and solid foundation in software engineering principles and architecture design
- Strong intellectual curiosity and passion about learning new technologies
- Exposure to Deep Neural Network training and inference and experience in one or more deep learning frameworks (PyTorch, Tensorflow, ONNX, etc.)
- Great cross-team collaboration skills and the desire to collaborate in a team of researchers and developers
- Strong communication skills (both written and oral)