Research Engineer, Computer Vision Nvidia
Anzeige vom: 05.12.2024

Research Engineer, Computer Vision

Standort:
  • München
Nvidia

Zusammenfassung

  • Arbeitszeit
    Vollzeit
  • Typ
    Festanstellung
  • Qualifikationslevel
    Spezialisierungsformen und Funktionen

Gewünschte Fähigkeiten & Kenntnisse

Machine Learning
SQL Azure
Programmiererfahrung
Data Processing
Cloud
Rapid Prototyping
across
Mobile App
AWS
C++
Python
GIT
MOST
Engineering
TARGET

Stellenbeschreibung

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world working for us. If you're creative and autonomous, we want to hear from you! We are an AA/EEO/Veterans/Disabled employer. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.



Ihre Aufgaben


NVIDIA is searching for an outstanding computer vision and deep learning research engineer to join the dynamic vision and learning research team. We are passionate about research that pushes boundaries but also has impact in the real world! We are looking for an expert in computer vision with an appetite for tech transfer. You will work within an outstanding and collaborative research team that consistently publishes at the top venues in computer vision and machine learning. Your contributions have the chance to create real impact on our products.

What you’ll be doing:

  • Research, design and implement novel computer vision and deep learning methods.

  • Guide the team's efforts in scaling up deep learning models and aligning research with product needs.

  • Collaborate with other team members and other research and product teams.

  • Transfer technology to product groups.

  • Mentor interns and PhD students.



Ihr Profil


  • A master in Computer Science/Engineering, Mathematics. PhD is a plus

  • Good knowledge of theory and practice of computer vision and deep learning methods.

  • Excellent programming skills in rapid prototyping environments such as Python.

  • Knowledge of common machine learning frameworks, such as PyTorchÂ

  • Knowledge of C++ and parallel programming (e.g., CUDA) is a plus.

  • Experience in turning a research project into a product and a good understanding of this lifecycle: packaging, publishing models, deployment onto specialized target hardware, etc.

  • Optimize training performance and resource utilization across distributed environments.

  • Troubleshoot and resolve issues related to distributed data processing and model training.

  • Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies.

  • Good knowledge of version control systems, e.g., git.

    Ways to stand out from the crowd:

  • A good publication record at top venues like CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR is a plus.

Profil

Fachliche Voraussetzung

  • Amazon Web Services, C++, CUDA, Cloud Computing, Computer Vision, Computerprogrammierung, Containerisierung, Deep Learning, Distributed Data Store, Forschung, Git, Informatik, Machine Learning, Mathematik, Microsoft Azure, Python, Rapid Prototyping, Ressourcennutzung, Software Version Control, Verpackung und Kennzeichnung

Persönliche Fähigkeiten

  • Problemanalyse

Schulabschluss

  • Master

Bewerbung

    Branche:

    Handel

    Arbeitgeber:

    Nvidia

    Adresse:

    Nvidia
    Rosenheimer Str 145 B
    81671 Munchen

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