Senior Research Software Engineer

The Research in Software Engineering (RiSE) Group at Microsoft Research seeks a Senior Research Software Engineer specializing in one or more areas of Artificial Intelligence (AI) infrastructure, Machine Learning (ML) systems, and high-performance computing (HPC) systems.

The position involves working closely with ML systems researchers to build and advance state-of-the art open-source AI infrastructure and improving the efficiency and scalability of production systems across the full AI model lifecycle: pre-training, supervised fine-tuning, reinforcement-learning-based post-training, and inference. The role emphasizes advanced software development and collaboration with a diverse team of computer scientists and engineers.

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.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

• Drive high-impact research in AI infrastructure, ML systems, HPC systems, programming reasoning, optimizations, and document processing, with a focus on software development and building large-scale systems. 

• Collaborate to develop and test out new ideas within existing or new collaborative teams.   

• Build and maintain state of the art systems in this space.   

• Collaborate in preparing technical papers and presentations.

• Embody our culture and values.

Qualifications

Required Qualifications

• Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, CUDA, Python, PyTorch, or Rust 
  • OR equivalent experience. 
• 3+ years’ research or engineering experience building large scale AI infrastructure, ML systems, and/or HPC systems.   

Preferred Qualifications

• 5 years of experience in engineering roles building large scale AI infrastructure, ML systems, and/or HPC systems, or 3 years of experience in such roles with a PhD or equivalent advanced degree in a relevant area. 
• Active participation in engineering efforts in the above areas, with involvement in building and maintaining systems. 
• Active participation in research as demonstrated by publications.