Senior Research Software Engineer – Materials Workflow Systems

Key Skills

Java Programming, Design, Management, Python Programming, MongoDB, SQL, Azure, Machine learning techniques, Deep Learning, Large scale data processing, Terabyte scale datasets, MS Dynamics

Job Description

For our Microsoft Research Cambridge lab, we are seeking exceptional Senior Research Engineer candidates in Materials simulation workflow systems. Workflow systems (AiiDA, Atomate, etc) play crucial roles in computational materials discovery and design. However, significant challenges remain in moving these systems to the cloud and integrating emerging artificial intelligence and machine learning algorithms into these systems. This role is an exceptional opportunity for candidates who are eager to combine their experiences in software engineering, high-performance computing or working with a specific workflow for materials simulation with passion for material design and more broadly scientific discovery. The successful applicant is expected to coordinate an engineering program working with a team of researchers as part of an ambitious, high-impact, collaborative research project. We are also keen to work with and contribute to the open-source software (OSS) community for the above goals.

There is no closing deadline for this post. The post will be filled once suitable candidates are found so if you are interested, please apply as soon as possible. When submitting your application, include your CV with a list of publications or your OSS contributions. For more information about the post, please feel free to email Ryota Tomioka at ryoto@microsoft.com

Responsibilities

Design and develop a workflow system for the cloud-based research environment starting from existing systems developed by the OSS community. This includes infrastructure development, dataset handling, development processes, and resource management. A successful candidate will roll out prototype systems regularly in coordination with a team of researchers to maximize research velocity. Furthermore, a successful candidate is expected to collaborate with researchers and across the larger organization to identify and address future engineering needs of the team.

Qualifications

• Experience in research in materials science, computer science, computational chemistry, or computational physics. For example, demonstrated by a completed MSc or PhD, or technical achievements. 
• Experience working with open-source materials workflow systems (AiiDA, Atomate, etc.) 
• Demonstrable ability to work in a large-scale software engineering project (continuous integration, unit tests, type annotation etc.)
• Demonstrable ability to work in a multi-disciplinary team. 
• Effective communication skills and ability to work in a collaborative environment. 
• Passion to see research have real-world impact on key challenges for society. 
• Modern Python programming experience.

Preferred

• Experience working with high-performance computing systems. 
• Hands on experience with Azure services (Azure storage, Azure Cosmos DB, Azure functions, etc) would be a plus. 
• Experience working as a core developer of existing workflow systems. 
• Understanding of deep learning applied to quantum chemistry / molecular dynamics methods. 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.