At a Glance
- Tasks: Integrate deep learning models into high-performance DFT software frameworks for scientific discovery.
- Company: Join Microsoft Research AI for Science, a leader in transformative technology.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement opportunities.
- Why this job: Make a real impact on science with cutting-edge AI technology.
- Qualifications: MSc in relevant field and proficiency in Python, C++, or Fortran.
The predicted salary is between 70000 - 122600 £ per year.
Overview
At Microsoft Research AI for Science, we believe deep learning has the potential to transform scientific modelling and discovery crucial for solving the most pressing problems facing society, including sustainable materials and discovery of new drugs. For our labs in Amsterdam (NL), London (UK), Cambridge (UK), and Berlin (DE), we seek highly motivated research software engineers to join our density functional theory (DFT) team. The mission of the team is to enable highly accurate and scalable predictions of the electronic structure of molecules and materials using deep learning-powered DFT. Accurate predictions of electronic structure are essential for predictive modeling across chemistry and materials science.
The primary focus of this role will be integrating our deep learning models into high-performance DFT software frameworks, making them efficient, robust, and accessible to users. You will work on model integration, numerical algorithms, GPU acceleration, and the software infrastructure needed to bring our models into real-world scientific workflows. If you have solid software engineering expertise and enjoy bringing machine learning models into high-performance scientific software, we encourage you to apply. This post will be open until the positions are filled.
Responsibilities
- Collaborate with internal and external parties on integrating our deep learning models in high-performance DFT software frameworks, targeting both CPU and GPU-based frameworks.
- Prepare and maintain open-source releases and releases for beta testers.
- Write custom efficient GPU implementations for our deep learning models.
- Work cross-functionally with deep learning and quantum chemistry researchers and engineers to align model development strategies with high-performance integration into CPU and GPU-based DFT software frameworks.
Qualifications
Required qualifications:
- MSc in computer science, mathematics, physics, chemistry, or a related area.
- Proficiency in collaborative software engineering in Python and in C++ or Fortran.
- Experience with maintenance of open-source libraries or commercial software packages.
- Understanding CPU and GPU compute architecture fundamentals.
- Experience with agentic software development.
- Ability to work in an interdisciplinary collaborative environment, through effective communication of technical concepts to non-experts from different technical backgrounds.
Qualifications that are considered a plus, but are not strictly required:
- PhD degree in computer science, mathematics, physics, chemistry, or a related area or comparable industry experience.
- Experience with CUDA/Triton programming.
- Experience with developing and optimizing numerical methods for high-performance computing platforms.
- Experience with development of high-performance DFT or quantum chemistry software.
Microsoft is an equal opportunity employer. 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.
Senior Software Engineer,AI for Science in Cambridge employer: Microsoft Corporation
At Microsoft AI, we pride ourselves on being an exceptional employer, particularly for those passionate about health technology and artificial intelligence. Our inclusive work culture fosters collaboration and innovation, providing ample opportunities for professional growth while working on transformative products that impact millions. Located in the UK, our team enjoys competitive compensation, comprehensive benefits, and a commitment to employee well-being, making it a rewarding place to advance your career.
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We think you need these skills to ace Senior Software Engineer,AI for Science in Cambridge
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Microsoft Corporation.
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How to prepare for a job interview at Microsoft Corporation
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Microsoft Corporation uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
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While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
