Analog Devices, Inc.
Intern – Build LLM‑Powered Tools for Hardware Requirements & Verification(m/w/x)
VollzeitPraktikumnur vor Ort
Ismaning, München
Neuer Job?Nejo!
Die KI-Suchmaschine für Jobs
NVNVIDIA
Software Engineering Intern, CUDA Core Libraries(m/w/x)
München
VollzeitPraktikumVor Ort
AI/ML
Data Science
Nejo KI-Zusammenfassung
Developing core libraries in C++/Python, optimizing GPU algorithms for VR, AI, and AV solutions. Parallel or heterogeneous programming experience, with strong C++/Python skills, required. Direct collaboration with experienced CUDA engineers.
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)
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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- C++
- Python
- CUDA
- OpenMP
- Pytorch
- JAX
- Numba
- CuPy
- LLVM
- Clang
- CMake
- GitHub Actions
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.
Noch nicht perfekt?
- NVIDIA
Principal AI Developer Technology Engineer(m/w/x)
Vollzeitnur vor OrtSeniorMünchen - DE63 NXP Semiconductors Germany GmbH
Intern AI Compiler Engineering(m/w/x)
VollzeitPraktikumnur vor OrtMünchen - NVIDIA Germany
Senior Developer Technology Engineer, Artificial Intelligence(m/w/x)
Vollzeitnur vor OrtSeniorMünchen - Intrinsic
Intern: Software Engineer – Robotic Execution Model Interoperability(m/w/x)
VollzeitPraktikumnur vor OrtMünchen
NVNVIDIA
Software Engineering Intern, CUDA Core Libraries(m/w/x)
München
VollzeitPraktikumVor Ort
AI/ML
Data Science
Nejo KI-Zusammenfassung
Developing core libraries in C++/Python, optimizing GPU algorithms for VR, AI, and AV solutions. Parallel or heterogeneous programming experience, with strong C++/Python skills, required. Direct collaboration with experienced CUDA engineers.
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)
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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- C++
- Python
- CUDA
- OpenMP
- Pytorch
- JAX
- Numba
- CuPy
- LLVM
- Clang
- CMake
- GitHub Actions
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.
Über das Unternehmen
NVIDIA
Branche
IT
Beschreibung
The company is developing groundbreaking solutions in Virtual Reality, Artificial Intelligence, Deep Learning, and Autonomous Vehicles.
Noch nicht perfekt?
- Analog Devices, Inc.
Intern – Build LLM‑Powered Tools for Hardware Requirements & Verification(m/w/x)
VollzeitPraktikumnur vor OrtIsmaning, München - NVIDIA
Principal AI Developer Technology Engineer(m/w/x)
Vollzeitnur vor OrtSeniorMünchen - DE63 NXP Semiconductors Germany GmbH
Intern AI Compiler Engineering(m/w/x)
VollzeitPraktikumnur vor OrtMünchen - NVIDIA Germany
Senior Developer Technology Engineer, Artificial Intelligence(m/w/x)
Vollzeitnur vor OrtSeniorMünchen - Intrinsic
Intern: Software Engineer – Robotic Execution Model Interoperability(m/w/x)
VollzeitPraktikumnur vor OrtMünchen