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
Leitet die Entwicklung der digitalen SoC-Architektur für LLM-Inferenz-Chiplets und koordiniert dafür Design-, Verifikations- und Compiler-Teams.
Every morning, thousands of people relearn to speak with myReha, and your models listen to every attempt.
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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KI für Bilder und Punktwolken entwickeln: Du entwickelst Anwendungen zur Auswertung von Bilddaten, Punktwolken und 3D-Daten, beispielsweise
Be responsible for a core pillar of Stenon’s products Scale our soil nutrient modelling to support more and more regions across the world Ov
Gerade starten wir neue Projekte, bei denen wir von Anfang an AI-first denken – von der Entwicklung bis zur Produktidee.
CT is a European-based international engineering company with a clear mission: to provide innovative and technological solutions that help o
Leitung des Bereichs KI & ML mit mehreren Arbeitsgruppen, einschließlich medizinischer, industrieller und robotischer KI an den Standorten V
Introduction HeiGIT (Heidelberg Institute for Geoinformation Technology) As a nonprofit research institute, HeiGIT (Heidelberg Institute for
will combine hands-on technical exposure with scientific curiosity and business relevance: from extracting insights from client interactions
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Leitet ein Team, das skalierbare Analysepipelines für Spatial-Omics-Daten entwickelt und agentische KI-Workflows zur Automatisierung von Analysen aufbaut.
Forschung an Multi-Tier-Optical-Circuit-Switching-Netzen für KI-Rechenzentren: Modelle bauen, Traffic-Placement optimieren, Algorithmen simulieren und publizieren.
Build models that predict user value, engagement and reward behaviour, and see them live in our product - Run A/B tests on offers, rewards a
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
im Team You will support the ECHT team in its mission of transforming traditional materials research into a fully digitalised, data-driven p
Über das UnternehmenWenn du schon mal eine CAD-Zeichnung gesehen hast und dachtest: „Da steckt doch mehr drin als nur Linien und Maße“, dann
is to provide expert human judgment on whether the resulting research is scientifically valid, genuinely novel, and of a quality comparable
Entwickelt und verantwortet die iOS-App, die ein iPhone am Mikroskop mit On-Device-Computer-Vision-Modellen in Echtzeit betreibt.
Lead Data Scientist or Quantitative Analyst - Commodity Intelligence ICIS – Karlsruhe/Germany or London About ICIS ICIS is part of Risk Solu
Senior Data Scientist / Quantitative Analyst - Commodity Intelligence ICIS – Karlsruhe/Germany or London About ICIS ICIS is part of Risk Sol
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.