עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!

במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.

מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.

חברה בתחום הייטק / חומרה / תוכנה / סייבר

מספר מקומות

חברה בתחום הייטק / חומרה / תוכנה / סייבר

מספר מקומות
מלאה
25,000-40,000 ₪ הערכה מבוססת AI ולא שכר שהתקבל מהמעסיק
הערכה מבוססת AI ולא שכר של המעסיק

We are seeking a highly skilled and modern software engineer to develop and prototype brand new advancements in distributed training and inference using our Spectrum-X AI fabric. This role offers a rare chance to pioneer AI and networking technology, contributing to ground-breaking projects that will define the landscape of large-scale AI systems. Improve AI app-networking connection by refining communication, crafting congestion control, coding NIC firmware, and expanding switch SDK features for enhanced AI factory efficiency. Your work impacts large AI system development, scaling, and speed.

What youll be doing:

Prototype end-to-end solutions to improve distributed training and disaggregated inference performance.

Analyze and optimize communication flows across application, transport, and network layers.

Develop system software spanning communication libraries, drivers, and firmware integrations.

Collaborate with hardware, firmware, and SDK teams to co-design network features.

Validate and integrate prototypes into our AI infrastructure and products.

Requirements:
What we need to see:

BSc/MSc/PhD in Computer Science or Electrical Engineering.

5+ years of relevant experience and/or knowledge.

Deep understanding of networking and communication internals - NCCL, RDMA/RoCE, congestion control.

Hands-on experience with HW/SW/FW integration and low-level programming (C/C++, kernel, drivers).

Some background in distributed training systems (such as PyTorch DDP, Megatron-LM, DeepSpeed).

Ways to stand out from the crowd:

Demonstrated innovation and leadership turning prototypes into impactful product features.

Experience with programmable data planes (P4, eBPF, DOCA SDK, or switch SDKs).

Familiarity with NIC firmware scheduling, in-network compute, or congestion management.

Contributions to open-source projects, academic papers, or performance benchmarking tools.

Strong background in AI factory architectures, distributed inference, or network telemetry.

This position is open to all candidates.