Integriert Deep-Learning-Modelle in DFT-Software, schreibt effiziente GPU-Implementierungen dafür und pflegt Open-Source-Releases.
Overview The mission of the team is to enable highly accurate and scalable predictions of the electronic structure of molecules and material
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Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
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If you re excited by the idea of building technologies that go beyond today s AI accelerators and helping define the future of computing, we
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combines architecture and hands-on work across the model frontend, the graph compiler, the runtime and the application pipeline.
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Warum dieser Job gelistet ist
Kernaufgabe ist die Integration und GPU-Implementierung eigener Deep-Learning-Modelle; ohne KI fehlt der Kern der Rolle.. Prüfverfahren ansehen
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 (What is DFT?). 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. Learn more about our work on accurate and scalable DFT in our blog and on our project website. 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 Software Engineering IC4 - The typical base pay range for this role across United Kingdom is £ 74,700.00 - £ 122,600.00 per year. Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here: Software Engineering IC4 - The typical base pay range for this role across Germany is € 90,100.00 - € 152,500.00 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: Software Engineering IC4 - The typical base pay range for this role across Netherlands is € 78,800.00 - € 133,300.00 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: Software Engineering IC4 - The typical base pay range for this role across United Kingdom is £ 74,700.00 - £ 122,600.00 per year. Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here: This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. 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.
If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur OriginalanzeigeModelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.