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We are looking for an outstanding Research Team Lead with deep hands-on expertise in large-scale distributed systems, AI framework infrastructure, and performance optimization on custom accelerators. If you are a visionary technical leader, a skilled communicator, and a team builder who thrives at the frontier of systems and AI research - you're welcome on board.
What Will You Be Doing?
Lead and grow a world-class team of researchers and engineers working on distributed AI infrastructure and systems software
Architect and own the software infrastructure enabling distributed training and inference on Huawei's custom accelerator hardware (e.g., Ascend NPU)
Drive research and development on communication libraries, runtime systems, memory management, and graph execution & synchronization at scale
Optimize end-to-end performance across large-scale clusters, covering both scale-up (multi-device) and scale-out (multi-node) configurations
Design and implement high-performance communication backends and collective operations (AllReduce, AllGather, broadcast) for distributed training workloads
Collaborate cross-functionally with hardware architects, compiler teams, and framework engineers to co-design hardware-software solutions
Publish and present research findings at top international venues (NeurIPS, EuroSys, SC, MLSys, OSDI) and represent the team externally
Mentor engineers and researchers, conduct performance and growth reviews, and shape team culture and technical direction
Partner with top academic institutions and open-source communities to advance the state of the art in distributed AI systems

we are looking for a Wafer-Scale System: Computation (LLM) and Communication (NoC) Co-Design.
Responsibilities:
Conduct cutting-edge research on the co-design of communication and computation for wafer-scale systems. On the communication side, the work focuses on architecting Networks-on-Chip, providing scalable, high-bandwidth, and ultra-low-latency interconnects that efficiently span multiple dies and support fine-grained data movement. On the computation side, the research emphasizes optimizing and mapping training and inference workloads to fully exploit wafer-scale resources, improving performance, scalability, and energy efficiency through intelligent task placement and scheduling.
Investigate various aspects of system design, including:
Network-on-Chip design, further including Topology exploration, routing algorithms, and protocol/flow-control design to support high-throughput collective communication, low-latency synchronization, and efficient model/data parallelism
Expressing and Mapping LLM Parallelism to Wafer-Scale System that simplify LLM parallelism (e.g., tensor, pipeline, and data parallelism) and efficiently map training and inference workloads onto wafer-scale system

Join a team developing next-generation AI accelerators, working at the intersection of AI algorithms, software, and hardware.

we are seeking a skilled and motivated Data Scientist. This individual will play a pivotal role in identifying key data points for collection, developing strategies to accumulate data and deriving actionable insights an anomaly based on a solid foundation of relevant know-how. Also, will also be responsible for creating, testing, and deploying scripts and methods for data collection and analysis to support decision-making. The Engineer will collaborate with cross-functional teams to identify critical data sources to determine the most effective data collection strategies, will develop automated and scalable data collection pipelines, will ensure data quality, integrity, and consistency across all sources and may use AI techniques to refine the results toward failures predictions.

we are establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel,
We are looking for an experienced and proactive Office Administration Manager to oversee the daily operations of our Haifa site and ensure a smooth, organized, and employee-focused work environment. This role combines office operations, facilities coordination, employee welfare, logistics, and administrative support.
Key Responsibilities
Manage day-to-day office operations and administrative processes
Support employee welfare initiatives, site events, and office experience activities
Coordinate office facilities, maintenance, and vendor relationships
Handle procurement and operational purchasing activities
Manage office logistics, including import/export coordination
Monitor office supplies, services, and operational budgets
Support onboarding and offboarding processes, including seating arrangements and site setup
Coordinate meetings, office activities, and cross-functional operational needs
Work closely with HR, Finance, IT, and leadership teams to support site operations
Experience in logistics operations in Israel, including managing courier and delivery service providers.

This is an excellent opportunity to work on challenging and complex projects at advanced technology environment with major companies in the semiconductor domain!

This role will enable you to improve your technical skills, working with the industry leading engineers over a wide range of topics while interacting with the business world.

The Application Engineer will provide expert level technical customer Pre-Sale and post-sale support for Cadence customers in Physical Design area.

we are looking for a Computing Network & System Architecture Group Leader.
In this role, you will be responsible for several teams of architects, engineers and software developers, all working together to conduct state-of-the-art R&D in system and network architecture.
As the group lead, you will guide and mentor the individual team leads, and also conduct hands-on work leading architecture, technology innovation and technical planning and of high-performance computing cluster network, which oriented at AI, HPC, and big data.

We are looking for a Senior AI Modeling Architect to define and model the architecture of our next-generation AI processors. In this role, you will serve as a key technical authority - bringing not only strong modeling capabilities, but also the architectural vision to propose and drive end-to-end solutions to complex design challenges.
You will work at high levels of abstraction, partnering closely with HW and SW architects to co-invent optimal solutions, validate them through simulation, and influence design decisions based on experimental data.
Responsibilities:
Model CPU/AI processor functionality and performance using SystemC and pre-silicon simulation environments
Define and drive architectural solutions - not only identify problems, but come with concrete proposals and alternatives
Partner with lead HW and SW architects to co-design features and evaluate trade-offs across the stack
Analyze bottlenecks and performance on workloads reflecting future AI use cases
Provide proof-of-concept implementations for new architectural features and design alternatives
Potentially lead feature definition in addition to the modeling role

we are looking for a Compilation Technology Expert.
This team will operate under a unique manner, as described below -
The environment
- Startup-like intensity
Small team
High ownership
High visibility
Merit is the essence, not titles
- Fast pace
Todays state of the art is tomorrows baseline
We aim to go beyond
- Incubator mindset
Take on hard challenges, dismantle, and regroup as novelty
- Elite technical culture
Strong experts
Strong standards
Strong execution.
Ratio beats seniority, not the other way around
- No artificial boundaries
We challenge assumptions, and question constraints, and leave no quarter
- Direct exposure to the latest and greatest AI technology
Real hardware
Real toolchains
Real large-scale AI applications
All pass through and impacted by our work
- First-principles thinking
out-of-the-box is a compromise
Do not accept that a box had to exist in the first place.