About the position
The AI Frameworks team at Microsoft develops AI software that enables running AI models everywhere, from world's fastest AI supercomputers, to servers, desktops, mobile phones, IoT devices, and internet browsers. We closely collaborate with our hardware teams and hardware partners to build the software stacks for novel AI accelerators. We work closely with ML researchers and developers to optimize and scale out model training and inference. Our team is also responsible for integration of our stack with Azure and works closely with Azure Core. The team operates at the intersection of AI algorithmic innovation, purpose-built AI hardware, systems, and software. We are a cross-discipline team of highly capable and motivated people with a collaborative and inclusive culture. We collaborate with and contribute to the open-source community. As a Principal Software Engineer - CoreAI, you will have the opportunity to work on the fundamental abstractions, programming model, runtimes, libraries, and APIs to enable large scale training and inferencing of models on novel AI hardware. This 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 essential.
Responsibilities
- Apply engineering principles for defining robust and maintainable architecture and designs.
- Collaborate broadly across multiple disciplines, from hardware designers to ML developers.
- Help establish and drive the adoption of good coding standards and patterns.
- Perform software development in C/C++, C# and other languages.
- Identify requirements, scope solutions, estimate work, schedule deliverables.
Requirements
- Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
- 5+ years' experience with C/C++.
- Ability to meet Microsoft, customer and/or government security screening requirements.
Nice-to-haves
- Technical background and solid foundation in software engineering principles and architecture design.
- Experience using or developing hardware simulators.
- 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.).
- Cross-team collaboration skills and the desire to collaborate in a team of researchers and developers.
Benefits
- Base pay range for this role across the U.S. is USD $139,900 - $274,800 per year.
- Different pay range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, is USD $188,000 - $304,200 per year.
