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Position Details Position Information Recruitment/Posting Title Lead Software Developer – GPU-accelerated Free Energy Simulation and Machine Learning Methods Department Quantitative Biomedicine Inst
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of supporting world-leading research in machine learning and visual computing. You will possess extensive experience in Linux systems administration and HPC environments, together with strong technical expertise
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model serving frameworks like Triton or vLLM, as well as their cloud-managed equivalents (e.g., Amazon SageMaker, Azure Machine Learning, Vertex AI). Strong understanding of high-performance and AI
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) infrastructure supporting cutting-edge AI, computer vision, and multimodal learning research. The successful candidate will take a leading role in the design, deployment, maintenance, and optimisation of large
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Intelligence, Engineering, or a related discipline. Relevant professional certification(s) in Artificial Intelligence (AI), Generative AI, Machine Learning, Data Analytics, Cloud Computing, IT Infrastructure
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Software Engineer: Keystone Project (Machine-Verified LLM Inference) Mission The Keystone project
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | about 3 hours ago
inference, including machine-learning methods. Astrophysics of compact objects and binary formation scenarios. Cosmography with gravitational waves: dark energy, dark matter and gravitational lensing. Tests
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. 5. Familiarity with scientific machine learning and data-driven modelling.
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for an engineer who enjoys building reliable, scalable systems for machine learning, data-intensive research, and advanced computing workloads. The successful candidate will work across GPU systems, HPC platforms
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who enjoys building reliable, scalable systems for machine learning, data-intensive research, and advanced computing workloads. The successful candidate will work across GPU systems, HPC platforms