Analog Devices, Inc.
Intern – Build LLM‑Powered Tools for Hardware Requirements & Verification(m/w/x)
Praktikum
Vollzeit
Keine Angabe
Ismaning, München
NV
NVIDIA1 Monat
Software Engineering Intern, CUDA Core Libraries(m/w/x)
Praktikum
Vollzeit
AI/ML Job
Data Science
Keine Angabe
München
Nejo KI-Zusammenfassung
As a Software Engineering Intern, you will dive into the design and optimization of CUDA Core Libraries, enhancing GPU computing for developers. This role involves collaborating with seasoned engineers and improving the overall developer experience through various initiatives.
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Anforderungen
- •Pursuing BS, MS, or PhD in Computer Science, Computer Engineering, or related field
- •Strong programming skills in C++, Python, or both
- •Familiarity with modern C++ and/or Python library development and packaging
- •Experience with parallel or heterogeneous programming (CUDA, OpenMP, GPU-accelerated Python, or similar)
- •Experience with software libraries or open-source projects
- •Ability to work independently and drive a project from exploration to completion
- •Clear written communication for design discussions and documentation
- •Knowledge of CPU/GPU architecture and algorithmic performance
- •Hands-on experience with CUDA C++, CUDA Python, Pytorch, JAX, Numba, CuPy, or related GPU-accelerated Python stacks
- •Familiarity with libraries such as Thrust, CUB, libcudacxx, or similar modern C++/GPU libraries
- •Familiarity with compiler infrastructure and tooling such as LLVM, Clang/LLVM tooling, or MLIR
- •Comfort navigating and debugging large, multi-language codebases (C++, Python, CMake, GitHub Actions CI systems)
Laufendes Studium
Deine Aufgaben
- •Contribute to the design and implementation of CUDA Core Libraries in C++ and Python
- •Design and optimize GPU algorithms and APIs
- •Tune performance involving memory, parallelism, and synchronization
- •Enhance developer experience through tests, benchmarks, CI, packaging, and documentation
- •Collaborate with experienced CUDA engineers
- •Participate in design reviews and code reviews
- •Engage in open-source-style workflows
Tools & Technologien
C++PythonCUDAOpenMPPytorchJAXNumbaCuPyLLVMClangCMakeGitHub Actions
Sprachen
Englisch – verhandlungssicher
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens NVIDIA erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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