20 beste Stellen als high performance computing in münchen – aktuell auf Personalsuche

Senior System Software Engineer – Embedded AI Inference
NVIDIA —München
- Vollzeit
- Doktorat
- Informatik
- Master
Embedded Linux Platform Engineer (UAV)
Twentyfour Industries —München
- Vollzeit
- C++
- Linux
- Python
- Flexible Arbeitszeiten
Direkt bewerben
8 Std.
Senior Solution Architect - Physical AI, Medical and Surgical Robotics
NVIDIA —München
- Vollzeit
- Doktorat
- Informatik
- Master
Senior AI Engineer for the Infotainment Platform (f/m/x)
BMW —München
- Vollzeit
- Doktorat
- Informatik
- Master
- Flexible Arbeitszeiten
7 Tage
(Senior) Quantum Software Engineer - Control System
planqc —Garching bei München
- Vollzeit
- Doktorat
- Informatik
- Master
Direkt bewerben
Working Student - Sales Strategy and Operations (f/m/div)
Infineon Technologies AG —München
- Teilzeit
- Microsoft Powerpoint
- Microsoft Excel
- Wirtschaft
12 Std.
Senior Staff Software Engineer – Automotive Battery Management Systems (f/m/d)
Renesas Electronics —Germering
- Vollzeit
- Informatik
- Softwareentwicklung
- Führungserfahrung
Direkt bewerben
Quantum Systems Engineer (m/w/x) - Munich, Germany
Alpine Quantum Technologies GmbH —München
- Ab 46.807,32 € pro Jahr
- Vollzeit
- Doktorat
- Schreibfähigkeiten
- Flexible Arbeitszeiten
Senior Software Engineer, AVOS, DRIVE OS and BSP - Automotive
NVIDIA —München
- Vollzeit
- Doktorat
- Informatik
- Master
Linux Software Engineer (m/f/d)
Quantum- Systems GmbH —Gilching
- Vollzeit
- Informatik
- Master
- C++
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Direkt bewerben
Principal Engineer, Application Engineering (f/m/d)
Renesas Electronics —München
- Vollzeit
- Informatik
- Master
- Bachelor
Direkt bewerben
Senior AI Software Engineer (m/f/d)
Quantum- Systems GmbH —Gilching
- Vollzeit
- Azure
- Informatik
- AWS
- Flexible Arbeitszeiten
Direkt bewerben
Flight Control Law Engineer (m/f/d)
Quantum- Systems GmbH —Gilching
- Vollzeit
- Master
- Bachelor
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Direkt bewerben
7 Tage
Senior Software Engineer, CUDA Core Libraries
NVIDIA —München
- Vollzeit
- Doktorat
- Informatik
- Wartung
Principal System Engineer (f/m/d)
Renesas Electronics —München
- Vollzeit
- Systemdesign
- Elektrotechnik
- Python
Direkt bewerben
Postdoctoral Researcher (f/m/d) in Numerical Analysis and PDEs
MathHire.org —Garching bei München
- Doktorat
- Forschungserfahrung
- Master
3 Tage
IT Enterprise Architect (m/w/d)
CIMPA —München
- Vollzeit
- Hybrides Arbeiten
- Englisch
- Erfahrung mit Netzwerken
- Erfahrung in der IT
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Direkt bewerben
Quantum Error Correction Engineer
IQM Finland Oy —München
- Doktorat
- Informatik
- Forschungserfahrung
Senior Quantum Algorithm Engineer, Optimization
IQM Finland Oy —München
- Doktorat
- Informatik
- Forschungserfahrung
Lead Researcher – Quantum Machine Learning
Terra Quantum —München
- Doktorat
- Informatik
- Machine Learning

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Senior System Software Engineer – Embedded AI Inference

NVIDIA -
München

Jetzt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

CI/CD
Doktorat
Informatik
Git
Master
C++
Machine Learning
Linux
Unit-Tests
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

NVIDIA is synonymous with innovation, boasting trailblazers who are shaping the world with their forward-thinking approaches. This is your chance to be part of a vibrant community that's redefining the technological landscape. Ready to shape the future of automotive technology with NVIDIA? Apply now to be part of a team that's revolutionizing the industry and driving innovation to new heights. Your potential awaits!

We're hiring a Senior Software Engineer to develop production automotive software for AI inference and agent orchestration in C++. Join us on an exhilarating journey, where you'll build out the foundation for next-generation automotive software applications: in-car agentic AI and inference of cutting-edge AI models (LLM, VLM, VLA). You would have the opportunity to shape cutting-edge AI frameworks that enable unprecedented in-car AI experiences and provide a reliable backbone for a new generation of Autonomous Vehicles. If you're passionate about building robust, high-performance AI systems that run on GPUs in real vehicles, we'd like to hear from you.

What you'll be doing:

Design, implement, and maintain C++ agentic AI and AI inference solutions for embedded production platforms.
Integrate PyTorch Deep Learning models into C++ pipelines, and deploy them for real-time inference on NVIDIA GPUs.
Build and extend testable, modular libraries and components, including interfaces to models, sensor drivers, and vehicle control.
Profile, debug, and optimize C++ and CUDA code to meet strict latency and throughput targets.
Collaborate closely with ML researchers, systems engineers, and automotive partners to turn prototype algorithms into production-ready implementations.

What we need to see:

Hands-on experience building agentic AI frameworks and with LLM / VLM inference. Experience with LLM and VLM inference and related optimization techniques like speculative decoding, LoRA, MoE.
8+ years of professional software engineering experience, ideally in high-performance safety-critical software, automotive, robotics, or real-time systems.
Master's or PhD degree in Computer Science or Machine Learning.
Strong modern C++ (C++14/17 or later): templates, RAII, smart pointers, STL, and experience building large codebases.
Solid Python skills for tooling, training scripts, and glue code between data pipelines and C++ components.
Experience developing on Linux: build systems (CMake), debugging (gdb, sanitizers), profiling, and git-based workflows in a CI/CD environment.
Familiarity with GPU programming and optimization, ideally with TensorRT.

Ways to stand out from the crowd:

Experience with agentic AI, specifically agents based on edge-friendly models (2–7B), including context management, reliable tool calling, and MCP, as well as experience with agentic coding.
Direct experience with the NVIDIA DRIVE AGX platform.
Knowledge of AI model optimization and deployment: quantization (INT8, FP8, 4-bit).
Familiarity with high-performance LLM inference frameworks like TensorRT-LLM or ONNX Runtime.
Understanding of software quality practices for safety-critical systems (code review, unit testing, static analysis; automotive standards knowledge is a plus) as well as open-source contributions or published work in AI, robotics, or GPU computing.

Work on challenging, real-world in-car AI inference problems where your ML and C++ skills directly impact the cabin experience and vehicle's self-driving capabilities. Collaborate with a talented, multidisciplinary team of researchers, engineers, and automotive experts. Solve hard technical problems at the intersection of deep learning, real-time systems, and production software engineering.

If this opportunity aligns with your background and interests, please apply with your resume and a brief description of relevant automotive AI projects (links to GitHub, publications, or technical write-ups are welcome).

Jetzt bewerben

Erweiterte Suche

high performance computing Jobs in münchen

Senior System Software Engineer – Embedded AI Inference

Embedded Linux Platform Engineer (UAV)

Senior Solution Architect - Physical AI, Medical and Surgical Robotics

Senior AI Engineer for the Infotainment Platform (f/m/x)

(Senior) Quantum Software Engineer - Control System

Working Student - Sales Strategy and Operations (f/m/div)

Senior Staff Software Engineer – Automotive Battery Management Systems (f/m/d)

Quantum Systems Engineer (m/w/x) - Munich, Germany

Senior Software Engineer, AVOS, DRIVE OS and BSP - Automotive

Linux Software Engineer (m/f/d)

Principal Engineer, Application Engineering (f/m/d)

Senior AI Software Engineer (m/f/d)

Flight Control Law Engineer (m/f/d)

Senior Software Engineer, CUDA Core Libraries

Principal System Engineer (f/m/d)

Postdoctoral Researcher (f/m/d) in Numerical Analysis and PDEs

IT Enterprise Architect (m/w/d)

Quantum Error Correction Engineer

Senior Quantum Algorithm Engineer, Optimization

Lead Researcher – Quantum Machine Learning

Ich möchte aktuelle Job-E-Mails für Stellen als high performance computing in münchen erhalten

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