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.
מלאה
60,000-90,000 ₪
We are looking for a Distinguished Engineer to help shape the future of AI infrastructure. As part of our advanced development and research efforts, you will drive technical vision and innovation across the AI software stack, spanning GPU computing, RDMA, NVLink, storage, and large-scale distributed systems. You will research next-generation system designs, influence product and platform direction, and help define how massive-scale AI environments are built, optimized, and operated through hardware-software co-design.
What youll be doing:
Research, define, and drive co-design solutions across AI software stacks involving GPU computing, RDMA networking, NVLink interconnects, storage, and large-scale distributed infrastructure.
Lead deep technical investigations and proof-of-concept development in areas related to distributed AI, deep learning systems, high-performance computing, virtualization, memory management, and large-scale systems design.
Work closely with multiple teams across us to advance next-generation AI infrastructure technologies and influence cross-stack co-design decisions.
Analyze end-to-end system bottlenecks and opportunities across compute, networking, memory, and storage layers to improve performance, scalability, and efficiency.
Guide the design of environments that support massive-scale AI training and inference workloads in production.
What youll be doing:
Research, define, and drive co-design solutions across AI software stacks involving GPU computing, RDMA networking, NVLink interconnects, storage, and large-scale distributed infrastructure.
Lead deep technical investigations and proof-of-concept development in areas related to distributed AI, deep learning systems, high-performance computing, virtualization, memory management, and large-scale systems design.
Work closely with multiple teams across us to advance next-generation AI infrastructure technologies and influence cross-stack co-design decisions.
Analyze end-to-end system bottlenecks and opportunities across compute, networking, memory, and storage layers to improve performance, scalability, and efficiency.
Guide the design of environments that support massive-scale AI training and inference workloads in production.
Requirements:
What we need to see:
M.S. or Ph.D. in Computer Science, Electrical Engineering, Computer Engineering, or equivalent experience.
20+ years of industry experience in systems design, distributed systems, system software, or related fields.
Chief Scientist, CTO, or equivalent senior technical leadership experience in smaller companies is highly desirable.
Deep background in distributed systems, parallel computation, networking, storage, virtualization, and memory management.
Experience building, scaling, and supporting environments for massive AI workloads.
Strong understanding of large-scale systems operational aspects, including performance, reliability, scalability, and supportability.
Excellent communication, collaboration, and technical leadership skills in a multi-national, multi-time-zone environment.
Ways to stand out from the crowd:
Proven research track record in AI systems, large-scale infrastructure, or advanced systems co-design.
Deep expertise in GPU systems, RDMA, NVLink, and storage technologies for AI and HPC workloads.
Strong record of cross-functional influence spanning hardware, system software, networking, and infrastructure.
What we need to see:
M.S. or Ph.D. in Computer Science, Electrical Engineering, Computer Engineering, or equivalent experience.
20+ years of industry experience in systems design, distributed systems, system software, or related fields.
Chief Scientist, CTO, or equivalent senior technical leadership experience in smaller companies is highly desirable.
Deep background in distributed systems, parallel computation, networking, storage, virtualization, and memory management.
Experience building, scaling, and supporting environments for massive AI workloads.
Strong understanding of large-scale systems operational aspects, including performance, reliability, scalability, and supportability.
Excellent communication, collaboration, and technical leadership skills in a multi-national, multi-time-zone environment.
Ways to stand out from the crowd:
Proven research track record in AI systems, large-scale infrastructure, or advanced systems co-design.
Deep expertise in GPU systems, RDMA, NVLink, and storage technologies for AI and HPC workloads.
Strong record of cross-functional influence spanning hardware, system software, networking, and infrastructure.
This position is open to all candidates.
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.
הרצליה
