23 часа назад
Senior Software Engineer, Platform (AI Infrastructure)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer, Platform (AI Infrastructure) (C/C++, Linux, Distributed Systems): Building and optimizing low-level platform components for networking, storage, task scheduling, and cloud computing with an accent on performance-sensitive systems and high-performance storage. Focus on designing distributed infrastructure, developing efficient Linux user-space or kernel-space code, and challenging IO and storage throughput benchmarks.
Location: Tel Aviv, Israel
Company
develops cloud and AI-native data infrastructure that turns enterprise data silos into high-performance pipelines for AI model training, inference, and other compute-intensive workloads.
What you will do
- Build and optimize low-level platform components, including networking, storage, task scheduling, and foundational infrastructure systems.
- Design and implement efficient performance-sensitive code in Linux user space or kernel space.
- Contribute architectural guidance for distributed computing, high-performance storage, and cloud computing.
- Conduct collaborative code reviews and performance testing focused on IO and storage throughput.
Requirements
- Mastery of low-level C/C++ development on Linux systems.
- Extensive experience with networking concepts and protocols, including UDP, TCP, InfiniBand, Ethernet, and RDMA.
- 10+ years of hands-on software development experience on Linux-based systems.
- Experience working with complex, large-scale, and/or distributed systems.
Nice to have
- Experience with DPDK, eBPF/XDP, libfabric, storage systems, SSDs, or SPDK.
- Knowledge of deep networking, kernel driver development, and highly distributed systems.
- Familiarity with SMB, NFS, S3, NVMe, Linux filesystems, memory management, NUMA, shared memory, and huge pages.
Culture & Benefits
- Accountability, ownership, integrity, and high professional standards.
- A collaborative environment focused on respectful communication, transparency, and constructive debate.
- A customer-centric approach focused on solving complex data challenges and enabling customer success.
- Commitment to an inclusive workplace and equal employment opportunities.
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