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Kernel/Hypervisor Engineer, EC2 Accelerated Nitro

Amazon Development Center Germany GmbH

Berlin

Vor Ort

EUR 60.000 - 90.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

A leading technology company is seeking a Kernel/Hypervisor Engineer based in Berlin. This role offers a unique opportunity to work on the cutting-edge EC2 Nitro Hypervisor, focusing on high-performance virtualization solutions. Engaging in innovative problem-solving, you will contribute to enabling advanced computing capabilities for AWS clients.

Qualifikationen

  • Experience in kernel and hypervisor engineering.
  • Familiarity with AWS software stack.
  • Strong background in virtualization technologies.

Aufgaben

  • Develop and innovate within the EC2 Nitro Hypervisor.
  • Integrate hardware accelerators to enhance performance.
  • Impact business and customer experiences through engineering solutions.

Kenntnisse

Hypervisor experience
Virtualization
Hardware accelerators integration
Machine learning
High-performance computing

Jobbeschreibung

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Kernel/Hypervisor Engineer, EC2 Accelerated Nitro, Berlin

Client:

Amazon Development Center Germany GmbH

Location:

Berlin, Germany

Job Category:

Other

EU work permit required:

Yes

Job Reference:

31d6123dc0c7

Job Views:

2

Posted:

23.06.2025

Expiry Date:

07.08.2025

Job Description:

EC2 is seeking an experienced Kernel & Hypervisor Engineer for our virtualization organization. You will have the opportunity to impact our systems, business, and customers by working on the lowest layer of the AWS software stack, engineering new EC2 instance families, and developing the EC2 Nitro Hypervisor. This role involves innovation, proposing new engineering solutions, and exploring new areas.

EC2 Accelerated Nitro powers the EC2 Nitro instance families, focusing on hypervisors, virtualization, and accelerated computing. We develop high-performance hypervisors that offer near bare-metal performance and integrate hardware accelerators like GPUs and FPGAs to support demanding workloads such as machine learning, high-performance computing, inference, or graphics processing.

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