20 beste Stellen als software engineer machine learning in münchen, by – aktuell auf Personalsuche

AI/ML Compiler Engineer (f/m/d)
NXP Semiconductors —München
- Vollzeit
- Doktorat
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- Master
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Prodig GmbH —München
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Accenture —München
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onsemi —München
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attempto GmbH & Co. KG —München
- Teilzeit
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Isar Aerospace SE —München
- C++
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BMW —München
- Vollzeit
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Technical Field Engineer – Autonomous Defense Systems and Drones (m/f/d)
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Computational Physicist
Proxima Fusion —München
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Robotics Software Engineer - Generalist (mid-level)
autonomous-teaming —München
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Internship: Machine Learning (m/f/x)
osapiens —München
- 2.410 € pro Monat
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Senior Applied AI / ML Application Engineer (f/m/x)
BMW —München
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Engineering Manager (m/f/d) Machine Learning
SIXT —München
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- Kundenberatung
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Senior Applied AI / ML Engineer (f/m/x)
BMW —München
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- Künstliche Intelligenz
- Flexible Arbeitszeiten
Senior Data Scientist - Trading (d/f/m)
Flexa —München
- 95.000 € – 115.000 € pro Jahr
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- AWS
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AI Infrastructure Engineer
Google —München
- 100.000 € – 103.000 € pro Jahr
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Staff Data Scientist - Trading (d/f/m)
Entrix —München
- 115.000 € – 135.000 € pro Jahr
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software engineer machine learning jobs near münchen, by

AI/ML Compiler Engineer (f/m/d)

NXP Semiconductors -
München

Jetzt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

CI/CD
Doktorat
Informatik
Git
Master
C++
Docker
Machine Learning
Computertechnik
Linux
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

NXP Semiconductors

NXP Semiconductors N.V. (NASDAQ: NXPI) provides High Performance Mixed Signal and Standard Product solutions that leverage its leading RF, Analog, Power Management, Interface, Security and Digital Processing expertise. These innovations are used in a wide range of automotive, identification, wireless infrastructure, lighting, industrial, mobile, consumer and computing applications. A global semiconductor company with operations in more than 35 countries, over 45.000 employees and a revenue of over $10 billion.

Department

Are you excited about the latest developments in AI, and you are ready for a new challenge working on AI compiler technologies? Do you want to contribute to “real world” applications and gain experience in the development of innovative ideas? Then join the growing “AI IP and Solutions” Department at NXP.

As a member of the ACE (“AI and Chip Engineering”) organization, you’ll join NXP’s team of specialists to lay the groundwork for product innovation and engineering. Teams within the ACE organization supply the company with the advanced ideas and solutions for products that sense, think, connect, and act – while always collaborating with internal and external stakeholders to meet customer objectives. This role gives you opportunity to enable NXP’s colleagues, customers, and partners to create breakthroughs in Edge AI that advance the world.

The work is performed in the MLIR-Compiler Team, embedded in NXP’s global AI-activities. The “AI IP and Solutions” team is the partner of business lines to identify, develop, benchmark, and enable disruptive Edge AI solutions on NXP-systems. You will be part of an exciting community that works on state-of-the-art technology and beyond.

Responsibilities

Evaluate and develop next generation compiler technology for AI/ML-workloads
Align NXP business line requirements and identify their commonalities for AI/ML-compiler technology
Analyze, adapt and extend the compilation flow of AI/ML-compiler frameworks such as IREE/MLIR and the like with respect to identified requirements
Develop the integration of custom Neural Processing Units (NPUs) into AI/ML-compiler frameworks.
Align the integration of the developed, adapted, and extended compiler frameworks into NXP’s AI tooling.
Communicate and continuously align the development with business line interests and needs
Methodological approach for keeping track of state-of-the-art in the relevant fields
Strong interaction with NXP partners in business lines and central organizations

Your Profile and required competencies

University degree: M.Sc. or PhD in Computer Science / Computer Engineering with significant exposure/involvement with Machine Learning, Edge AI, and Embedded Systems
1+ years of experience in software and hardware engineering in the industry using standard development tools (e.g., git, bitbucket, unit test driven development, using CI/CD, docker, etc.)
·E xcellent track record of peer-reviewed publications and contributions to embedded machine learning and Edge AI including hardware/software/algo-co-design
Strong experience in neural processing unit (NPU) design and AI/ML-enabled dedicated processor architecture
Very strong programming skills in C++ and Python
Affinity and experience with embedded processors, software, and machine learning accelerators
Broad experience with Operating systems GNU/Linux, embedded systems, development boards
Capability to work independently and accurately paired with strong critical and analytical thinking

More information about NXP in Germany...

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Erweiterte Suche

software engineer machine learning Jobs in münchen, by

AI/ML Compiler Engineer (f/m/d)

Team Lead Machine Learning (m/f/x) - Remote Sensing

DevOps Platform Engineer (m/f/d) Munich

Software Engineer & IoT Consultant (all genders)

Microelectronic System and Packaging Mold Flow Simulation Engineer

Robotics Software Engineer - Weapon Control System (m/w/d)

GenAI Engineer (m/w/d)

Software Engineer (m/f/d)

Senior Agentic AI Engineer (f/m/x)

Manufacturing Engineer CAD or Tooling Engineer CAD (m/f/d)

Technical Field Engineer – Autonomous Defense Systems and Drones (m/f/d)

Computational Physicist

Robotics Software Engineer - Generalist (mid-level)

Internship: Machine Learning (m/f/x)

Senior Applied AI / ML Application Engineer (f/m/x)

Engineering Manager (m/f/d) Machine Learning

Senior Applied AI / ML Engineer (f/m/x)

Senior Data Scientist - Trading (d/f/m)

AI Infrastructure Engineer

Staff Data Scientist - Trading (d/f/m)

Ich möchte aktuelle Job-E-Mails für Stellen als software engineer machine learning in münchen, by erhalten

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