Requirements:
Requirements:
At least 10 years of hands-on experience in system architecture design, or equivalent research experience.
Demonstrated experience in leading R&D team.
Familiarity with high-performance computing cluster services and system architectures, such as AI, HPC and big data.
In-depth understanding of computer networks, communication libraries, and design of AI or HPC cluster networks

Key qualifications you hold include:
Ability to work in a team environment; actively seek out resolution to issues with the team and work co-operatively to build a coherent system; Team-working and excellent inter-personal communication skills.
High level of self-reliance and an autonomous target-oriented work style, can do attitude, eager to learn new things and ready to think outside the box
Ability to work on a schedule, even for un-schedule-able issues such as inventiveness.
Experience with network system of AI, HPC or big data cluster.
Demonstrated capability in several items from the list below:
o Deep understanding of computer network protocol and network topology of computing cluster
o Familiarity with communication library, such as OpenMPI/NCCL
o Extensive experience in leading the network architecture design of computing cluster
o Experience with implementing routing algorithm
o Familiarity with network specifications of CPU/Network Processing Unit/ Neural Processing Unit/Switch chip
Fluent in written and spoken English.

Requirements:
Requirements
B.Sc. or higher in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field.
8+ years of experience in systems software, distributed computing, or AI infrastructure, with 3+ years in a leadership or team lead role.
Deep expertise in large-scale communication systems: collective communication, RDMA, network topology-aware routing, and bandwidth optimization.
Hands-on experience building software infrastructure for distributed training on custom accelerators or heterogeneous hardware (GPU, NPU, TPU).
Strong knowledge of runtime systems: scheduling, execution graphs, kernel dispatch, synchronization primitives, and pipeline management.
Experience with memory management at scale: activation checkpointing, tensor offloading, rematerialization, KV cache management.
Proficiency in C/C++ and Python, with a focus on high-performance, production-quality code in Linux environments.
Proven ability to define technical vision, lead multi-person projects end-to-end, and deliver results under research and engineering timelines.
Excellent communication skills in English - confident presenting to international audiences, writing technical reports, and driving cross-team alignment.
Strong collaborative mindset and experience working in globally distributed, multicultural teams.
Ways to Stand Out From the Crowd.
M.Sc. or Ph.D. in a relevant field, with a strong publication record at systems or ML venues (EuroSys, OSDI, SC, NeurIPS, MLSys, ISCA).
Hands-on experience with communication frameworks such as NCCL, MPI, HCCL, or UCX.
Experience with compiler and graph optimization for AI workloads (XLA, TVM, Triton, or custom operator fusion).
Background in mixed-precision training, model parallelism (Tensor Parallelism, Pipeline Parallelism, Expert Parallelism), and large model co-design.

Requirements:
Requirements & Qualifications:

Leadership Experience: 2+ years of experience leading technical teams (architects, DevOps, or engineering squads), including mentoring, task prioritization, and delivery accountability - ideally in a professional services or consulting environment.

Communication & Presentation: Outstanding verbal and written communication skills in English & Hebrew. Proven ability to conduct discovery calls and articulate sophisticated technical concepts to both engineering teams and non-technical business executives, and to represent the company at a senior level.

Cloud Platform Expertise: 5+ years of proven experience architecting, deploying, and managing complex production workloads on Google Cloud Platform (GCP) and/or Amazon Web Services (AWS), with deep knowledge of their core services (compute, storage, networking, databases).

Core Technical Foundations: Strong foundational knowledge of operating systems (Linux/Windows), virtualization environments, database architectures (SQL/NoSQL), and proficiency in scripting languages (such as Python and Bash) for automation and troubleshooting.

Modernization & Serverless Mastery: Practical experience implementing containerized solutions (Docker, Kubernetes/GKE/EKS) and serverless technologies (Cloud Run, AWS Fargate, ECS, Lambda, Cloud Run Functions).

Hands-On DevOps & IaC: Strong, hands-on background in DevOps practices. Expert-level knowledge of Infrastructure as Code (IaC) tools - specifically Terraform - along with deep experience in CI/CD pipeline construction.

Migration Experience: Proven track record of guiding enterprise migrations (re-hosting, re-platforming, and refactoring), particularly On-Prem to Cloud or cloud-to-cloud migrations (such as AWS to GCP).

Client-Facing Professionalism: A consultative, customer-centric mindset with strong analytical, scoping, and problem-solving abilities, and the maturity to own decisions independently under broad executive guidance.

AI/ML Familiarity: An understanding of the modern AI landscape, with the ability to identify opportunities where Generative AI can drive value for clients.

Education: Bachelor degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).

Preferred Advantages
Multi-Cloud experience: Hands-on architectural and deployment experience with both GCP and AWS.
Prior experience as a Team Leader, Delivery Lead, or Principal Architect in a cloud consulting / MSP / professional services company.
One of the following Professional-level cloud certifications:
- Google Cloud Professional Cloud Architect
- AWS Certified Solutions Architect - Professional
Deep expertise in FinOps methodologies and cloud cost allocation tools.

Requirements:
Education
BSc or MSc in Computer Science, Computer Engineering, or a related technical field.
Strong background in systems research, database technologies, distributed systems, or computer architecture is highly desirable.

Requirements
10+ years of experience in database systems, systems software, performance engineering, or related fields.
Proven experience designing, developing, or optimizing high-performance database systems, storage engines, query execution engines, or large-scale data platforms.
Deep understanding of database internals, including:
o Query optimization and execution engines
o Transaction processing and concurrency control
o Storage engine architecture
o Indexing and caching mechanisms
o Database scalability and workload optimization
Strong understanding of computer architecture and hardware performance optimization.
Hands-on experience with memory systems, including:
o NUMA architectures
o CPU cache hierarchy
o Memory bandwidth and latency analysis
o Large-scale memory management techniques
Strong programming skills in C/C++ and experience developing high-performance software on Linux systems.
Experience using performance analysis and debugging tools, including:
o Linux perf
o Hardware performance counters
o Profiling and tracing frameworks
o Benchmarking tools
Experience optimizing OLTP, OLAP, or mixed transactional/analytical database workloads.
Strong analytical and problem-solving skills with the ability to diagnose and resolve complex performance issues across software and hardware layers.

Requirements:
Bachelors or Masters degree in Computer Engineering, Electrical Engineering, or Computer Science.
7+ years experience in the Linux Kernel architecture, OS Internals and subsystems (Memory Management, IO, Storage, Networking)
Experience and Deep understanding of PCIe standard, topologies and its applications.
Very good understanding of HW architecture and high bandwidth applications.
Strong experience in Performance Analysis and Debugging techniques.
Experience with HW architectures (MIPS & RISCV) and their implementation in the operating system is a big advantage.
Experience in the user space is a good advantage.

Requirements:
Minimum qualifications:
Bachelor's degree in Electrical Engineering or equivalent practical experience.
10 years of experience with design from micro-architecture through implementation with Verilog/SystemVerilog, or VHDL language.
8 years of experience in managing teams and groups.
Experience working with design networking like Remote Direct Memory Access (RDMA) or packet processing and system design principles for low latency, high throughput, security, and reliability.
Experience with chip design flow, chip architecture, design methodologies, physical design, and verification processes.
Preferred qualifications:
Master's degree or PhD in Engineering or equivalent practical experience.
Experience in leading chip development projects and teams and execution.
Ability to motivate and focus on collaborative teams to achieve testing goals.

Requirements:
Requirements:
BSc or higher degree in Computer Science/Engineering or related discipline from a leading university. (Alternatively, exceptional proven track record in similar tasks).
3+ years of experience in one or more of following disciplines: development of simulators/emulators for CPUs, definition of CPU features, HW/SW co-design, Low level performance profiling and optimization of SW with exposure to CPU ISA.
Fluent spoken and written English.
Behavioral skills: Team player. Interpersonal skills needed to collaborate with colleagues towards achieving a technical goal.

Advantageous qualifications:
Experience in SW/HW codesign or in definition of new instructions will be a great advantage.
Familiarity with dense compute workloads and analysis (e.g., AI, HPC, financial, etc.).
Familiarity with Vector Architectures.

Requirements:
Requirements
Requirements - What Youll Bring

Education: Bachelors Degree in Computer Science, Software Engineering, or equivalent.
Experience: Minimum 8 years of experience in Web (JS Framework) development, with extensive, proven experience in modern relevant technologies (React, Angular, Vue ).
Technical Depth: Excellent grasp of fundamental computer science concepts, good at solving complex technical problems. Experience using common design patterns.
Tooling: Proficient in modern web app deployment tools & libraries such as Webpack, Vite, and NPM. Active use of modern AI tools to accelerate daily development.
Lifecycle Mastery: Proven record in End-to-End (E2E) development and a deep understanding of the Software Development Life Cycle (SDLC).
Soft Skills: Demonstrate strong software engineering skills, excellent interpersonal communication, extreme ownership, and the ability to accept and give meaningful technical feedback. A proactive, "can-do" attitude is essential.
Standards: High standards for code quality, maintainability, and performance
Track Record: creating, maintaining, and shipping top-ranking Web apps.

Requirements:
Requirements
Solid understanding of general purpose CPU micro-architecture, including knowledge of areas such as processor pipelines, load store unit, caches, cache coherence, memory hierarchy, multi-processor, multi-thread processor systems.
Ability to make trade-offs between power, performance and area appropriately to meet the requirements of the product.
Hand-on experience with high power-efficient CPU core successfully.
Understanding of CPU instruction set architecture and assembly language.
At least 20 years of experience in one of the leading CPU companies
BSC, MS or PHD in Electrical Engineering, Computer Engineering, or Computer Science.
Familiarity with the ARM architecture and the micro-architecture for current ARM CPU cores.
Software development (C, assembly).
Experience modeling microprocessors using higher-level languages, like C/C++.
Excellent verbal and written communication skills.

QUALIFICATIONS
Co-operate and communicate well with the architecture team and other members of development team.
Interact with the Product System architects, software teams and ASIC chip teams to define the overall architecture of the Processor ASIC including memory hierarchy.
Travel to Beijing and ShenZhen sites may be required.
Good presentation and internal customer interaction skills.

Requirements:
Requirements
Four or more years of experience in one or more of the following roles in the memory cluster of an Out of Order CPUs:
Architecture or micro-architecture definition.
Performance modeling and studies.
RTL implementation.
Verification of Multithreading.
Education: Academic degree in Computer Engineering or Computer Science

Advantages:
Knowledge and experience in memory ordering architecture.
HW or SW Experience in inter-thread synchronization.
Knowledge of the arm Instruction Set Architecture.

Skills
Good verbal English skills.
Good interpersonal skills.
Team player.