17 beste Stellen als stack developer in dachau – aktuell auf Personalsuche

Senior Software Engineer, CUDA Core Libraries
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Kertos GmbH —München
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PKI Lead-Developer .NET/C#/C++ (m/w/d)
Secardeo GmbH —Ismaning
- Per E-Mail
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Brainlab —München
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Senior Product Security Engineer
Tools for Humanity —München
- 146.000 € – 172.000 € pro Jahr
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SAP Senior/Lead Consultant Integration Management (all genders)
CNT Management Consulting AG —München
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Munich Electrification —München
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Senior / Lead Java Developer Financial Services – Depots & Wertpapiere (all genders)
EXXETA —München
- Azure
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Cloud Engineer (w|m|d) - Dein Stack: Beratung, Plattformdenken, Automatisierung
BridgingIT GmbH —München
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Direkt bewerben
(Senior) Kotlin / Java Software Engineer - Banking Platform (m/f/x)
Scalable GmbH —München
- Vollzeit
- Hybrides Arbeiten
- Java
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German Speaking Senior Solutions Engineer
Ignite —München
- Bis zu 80.000 € pro Jahr
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- ERP-Systeme
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2 Std.

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Senior Software Developer (Backend & Infrastructure) (m/w/d) // Remote möglich
E. Breuninger GmbH & Co. —München
Breuninger ist der führende Fashion und Lifestyle Department Store im Premium und Luxussegment und seit 140 Jahren am Markt.
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Senior Software Engineer, CUDA Core Libraries

NVIDIA -
München

Jetzt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Doktorat
Informatik
Wartung
Master
C++
Deep learning
Computertechnik
APIs
Python

Vollständige Stellenbeschreibung

NVIDIA’s accelerated computing platform is the foundation of modern HPC and AI.At the core of this platform are the CUDA Core Libraries. C++ and Python libraries that enable developers to write fast, reliable, and scalable GPU-accelerated software! We are hiring a full-time Software Engineer to work on the CUDA Core Libraries that power GPU computing for both C++ and Python developers. This includes projects such as CCCL (Thrust, CUB, libcudacxx), cuda-python, and numba-cuda. You will join the team building the foundational libraries, algorithms, and language/runtime infrastructure that make CUDA a speed-of-light experience for developers across deep learning, scientific computing, and data analytics!

What you’ll be doing:

Develop and implement CUDA Core Libraries in C++ and/or Python, including parallel algorithms and idiomatic language bindings for core CUDA functionality.
Compose, optimize, and evolve GPU algorithms and APIs, from high-level interfaces down to low-level performance tuning involving memory, parallelism, and synchronization.
Own features end-to-end: develop, implementation, testing, benchmarking, documentation, and long-term maintenance.
Improve developer experience across the stack: CI, tests, benchmarks, packaging, examples, and docs.
Collaborate with senior CUDA engineers in design reviews, code reviews, and open-source-style workflows.
Engage with real users through issues, performance investigations, and API feedback.

What we need to see:

BS, MS, or PhD in Computer Science, Computer Engineering, or a related field or equivalent experience.
Minimum of 8+ years of related development experience
Strong programming skills in C++, Python, or both, with proven interest in systems-level software (performance, memory, concurrency, API design).
Solid understanding of modern C++ (templates, generics, standard library) and/or Python library development and packaging.
Practical experience with parallel or heterogeneous programming (CUDA, OpenMP, GPU-accelerated Python, or similar).
Experience contributing to production software or open-source libraries, including testing, profiling, and code review.
Ability to work independently, scope problems, and drive projects to completion.
Clear written communication for technical design and documentation.
Comfort navigating large, multi-language codebases (C++, Python, CMake, Pixi, CI systems).

Ways to stand out from the crowd:

Strong understanding of CPU/GPU architecture and how hardware details affect performance.
Hands-on experience with CUDA C++, CUDA Python, PyTorch, JAX, Numba, CuPy, or similar GPU-accelerated stacks.
Familiarity with Thrust, CUB, libcudacxx, or other modern C++/GPU libraries.
Experience with compiler infrastructure or tooling (LLVM, Clang tooling, MLIR).
Demonstrated interest in developer tools, library design, and making other developers faster.

If you care deeply about performance, enjoy working at the C++/Python boundary, and want to shape the core CUDA libraries relied on by thousands of developers, this role is a direct fit.

Jetzt bewerben

Erweiterte Suche

stack developer Jobs in dachau

Senior Software Engineer, CUDA Core Libraries

Senior Software Developer (Backend & Infrastructure) (m/w/d) // Remote möglich

(Senior) Software Engineer JavaScript (m/f/d) - Sports Technology

Site Reliability / DevOps Engineer - 100% Remote (m/f/d)

Senior Embedded Software Developer (gn)

Senior Site Reliability Engineer (m/w/d)

Senior Fullstack Engineer – Python / React (all genders)

PKI Lead-Developer .NET/C#/C++ (m/w/d)

(Senior) Software Engineer – Radiotherapy Positioning & Monitoring

Senior Product Security Engineer

SAP Senior/Lead Consultant Integration Management (all genders)

Software Engineer, Data Platform

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Senior / Lead Java Developer Financial Services – Depots & Wertpapiere (all genders)

Cloud Engineer (w|m|d) - Dein Stack: Beratung, Plattformdenken, Automatisierung

(Senior) Kotlin / Java Software Engineer - Banking Platform (m/f/x)

German Speaking Senior Solutions Engineer

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