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נאספה מאתר אינטרנט
2 ימים
Location: Hod Hasharon and Haifa
Job Type: Full Time
We are seeking a Network Topology Researcher with a focus on designing and optimizing novel network topologies for AI training and inference workloads.
This role is ideal for candidates with a deep understanding of existing types of network topologies, such as Clos and Mesh, and who are passionate about researching and developing new architectures to improve efficiency, scalability, and performance in AI systems.
Responsibilities:
Conduct cutting-edge research, design, and evaluate new network topologies optimized for AI training and inference workloads, and also their impact on legacy workloads
Explore innovative approaches to improve network performance, including latency, bandwidth, and fault tolerance
Collaborate with infrastructure teams to integrate new topologies into large-scale AI systems
Conduct simulations and experiments to validate and benchmark novel network designs
Stay current with the latest developments in network architecture and AI workload optimization
Write white papers on current developments and future research directions
File patents, produce and present research papers at top-tier conferences
What we offer:
Opportunity to lead cutting-edge projects in one of the most dynamic sectors of the tech industry
Work closely with a leading professor
Exposure to conferences, courses, and connection opportunities to the top-tier experts
Access to cutting-edge tools and technologies
This is an exciting opportunity for a motivated researcher to contribute to the cutting-edge of AI infrastructure and help shape the future of AI network architectures.
Requirements:
Proven experience in network topology types research and/or graph theory research
Strong interpersonal skills, with a collaborative spirit and the ability to work independently
Strong analytical and problem-solving skills, ability to think outside the box, with the ability to innovate in a fast-evolving field
Excellent intercultural communication, coordination, presentation, and reporting skills, with the ability to work effectively in a research environment
Skills
How would you stand out:
PhD or MSc in Computer Science, Electrical Engineering, Math, or related field
Past experience in graph theory is a significant advantage
Familiarity with the challenges of AI training and inference workloads, including high-throughput
data pipelines
Knowledge of LMMs
Hands-on experience with network simulation tools and performance evaluation frameworks
Expertise in distributed systems and large-scale AI infrastructure.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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נאספה מאתר אינטרנט
2 ימים
Location: Hod Hasharon and Haifa
Job Type: Full Time
We are looking for a server application and workload (Cloud, Internet, Enterprise) expert to analyse, simulate emerging workloads (Compute and AI) and develop HW and SW optimizations that will improve their PnP (power and performance).
Responsibilities:
Track and review emerging compute and AI workloads for Cloud, Internment and enterprise applications
Deploy and Simulate emerging workloads on our system simulation infrastructure
Analyze performance bottle necks and develop innovations that will improve their performance
Work with the SW and HW development team in order to incorporate these innovations into our products
Occasionally simulate and analyze performance issues reported by customers and come up with solutions.
Requirements:
PhD or MSc in computer science or area related to computer architecture, or equivalent research experience in industry
At least 10 years of relevant research experience in industry or Academia
Ability to provide innovation and global vision throughout the company
Experience analyzing performance of new application and root cause of performance bottlenecks
Candidates should have research experience in at least one of the following areas:
Computer architectures: instruction set architecture, microarchitecture, cache sub-system, memory sub-system, NOC, interconnect- MUST.
Workload characterization and analytical model generation- MUST.
Parallel, High-Performance, and Distributed Computing with an emphasis on hardware-software characterization, optimization and innovation
Heterogeneous Architectures and Systems for Datacenters.
Expertise in the field of AI will be a big advantage Excellent communication, presentation and reporting skills Experience working with highly technical teams and communicating to non-technical partners.
Excellent oral and written English.
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
2 ימים
Location: Haifa
Job Type: Full Time
Required Distributed AI Framework Software Engineer
We are looking for outstanding candidates with hands-on experience in development and optimization of AI frameworks. If you are a team player with excellent communication skills and motivation to revolutionize application performance, youre welcome on board!
What will you be doing?
Work as part of an innovative research team to analyze, develop, test and deploy improvements that enhance Huaweis distributed AI framework.
Develop optimizations that leverage hardware accelerator capabilities, minimize communication overhead and improve training/inference throughput
Research state-of-the-art, distributed AI training and inference algorithms (e.g. FSDP, DDP) to develop accessible model sharding capabilities
Profile different distributed AI training strategies, compare parallelization methods, and identify the main bottlenecks to be optimized on the computation and network communication levels.
Work in a distributed computing environment to optimize for both scale-up (multi-device) and scale-out (multi-node) systems
Utilize advanced concepts such as Uncertainty Quantification, Mixed Precision Computing and Model Sparsity to improve performance and enable training of very large AI models
Collaborate with partners from top universities, and open-source communities to conduct state-of-the-art research.
Requirements:
B.Sc. degree in computer science, computer engineering, or a closely related field
Excellent C/C++ programming and software design skills, including debugging, performance analysis, and testing
Strong technical skills and experience with developing code in a Linux environment
Excellent teamwork and interpersonal skills
Ability to work independently, define project goals and scope, and lead your own development effort
Innovative thinking
Ways to stand out from the crowd:
M.Sc. or Ph.D. degree
Proven track record of conducting and publishing independent research
Experience in optimizing distributed deep learning pipelines with TensorFlow / PyTorch
Experience in analyzing workloads on large scale heterogeneous clusters
Hands-on experience in developing code to target heterogeneous architectures (e.g. CPU/GPU/TPU)
Experience in developing and contributing to large open-source libraries.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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7918363
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