Software Engineer II

at  Microsoft

Are you looking for opportunities to deliver innovations to hundreds of millions of users that impact their daily life? Do you want to be part of a fast-cycle, and hardcore AI/ML frameworks team to advance the AI technology?
We are looking for a Software Engineer II. The AI Frameworks team at Microsoft develops software that pushes the cutting edge of performance and experience in machine learning in production and research. We bridge the gap between the latest state-of-the-art AI models and hardware eco-systems. We build software to enable running AI models everywhere, from the world’s fastest super cloud computers, to servers, desktops, mobile phones, IoT devices, and internet browsers. The framework we develop is powering AI experience for all major Microsoft products, such as Office, Windows, Bing, SQL Server, VSCode, Cognitive Service, Copilot+ PC, and many others.

As a Software Engineer II on our team, you would have the opportunity to work on:

• ONNX: an open standard format for representing AI models, enabling AI developers to work on AI models with a variety of frameworks, tools, runtimes, and compilers.
• ONNX Runtime: ONNX based cross-platform, high performance ML inferencing and training accelerator.
• PyTorch: an open-source ML framework used by leading companies and researchers such as Microsoft, Facebook and OpenAI.

We value our team members’ happiness and encourage everyone to constantly learn new things and take risks. We collaborate closely and openly to accomplish big things together while having fun.
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.

REQUIRED QUALIFICATIONS:

• Bachelor’s degree in computer science, Computer Engineering, or related technical discipline AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, or Python
• OR equivalent experience.

PREFERRED QUALIFICATIONS:

• 2+ years’ experience with C/C++.
• 1+ years’ experience of programming of Compute Unified Device Architecture (CUDA) or Central Processing Unit(CPU) assembly. Or similar experience in compiler.
• Exposure to Deep Neural Network training and inference and experience in one or more deep learning frameworks (PyTorch, Tensorflow, Open Neural Network Exchange-ONNX, etc.).
• Curiosity and passion about learning new technologies.
  Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $98,300 - $193,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $127,200 - $208,800 per year.
  Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
  Microsoft will accept applications for the role until August 14, 2024.
  Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

• Design, implement, and test a function or component for our AI frameworks and tools
• Speeding up/reducing complexity of key components/pipelines to improve performance and/or efficiency of our systems
• Engage with key partners to understand and implement robust performance analysis and optimization for state-of-the-art LLMs and other models.
• Perform software development in C/C++, Python, and GPU development in languages such as CUDA, ROCm, or Triton.
• Interacting with and providing tech support for our customers/users
• Embody our Culture and Values