обновлено 2 дня назад
Kernel/Hypervisor Engineer (EC2 Deep Learning Accelerators)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Kernel/Hypervisor Engineer (EC2 Deep Learning Accelerators) (C/C++ and virtualization): Building the lowest layer of the AWS software stack, including EC2 instance families and the Nitro Hypervisor, with an accent on kernel development, hardware acceleration, and near-bare-metal performance. Focus on designing, testing, deploying, and operating resilient virtualization components while solving complex systems challenges across hardware, software, and firmware.
Location: Berlin, Germany
Company
Web Services provides cloud computing infrastructure and operates services including EC2, S3, databases, storage, IoT, and productivity applications.
What you will do
- Build new solutions across the virtualization software stack, from design and development through testing and deployment.
- Develop virtualization components and automate infrastructure flows for EC2.
- Engineer new EC2 instance families and contribute to the AWS Nitro Hypervisor.
- Improve hypervisor quality, instance platforms, resilience, and fault tolerance.
- Collaborate with hardware, software, and firmware teams across global locations.
- Participate in on-call support and perform root-cause analysis for production issues.
Requirements
- Professional, non-internship software development experience.
- Experience designing or architecting reliable and scalable systems.
- Experience with C and C++.
- At least 3 years of experience using the Linux command-line toolbox.
- Understanding of operating system internals and experience with kernel or virtualization technologies.
- Proficiency in at least one CPU architecture, such as x86 or ARM.
Nice to have
- Bachelor’s degree in computer science or an equivalent qualification.
- Experience with the full software development life cycle, including code reviews, source control, builds, testing, and operations.
Culture & Benefits
- Flexible schedule and focus on work-life harmony.
- Mentorship, knowledge sharing, and career development resources.
- Inclusive culture supported by employee-led and company-sponsored affinity groups.
- Opportunity to work on cloud infrastructure serving demanding machine learning, high-performance computing, inference, and graphics workloads.
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