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We are seeking an experienced technical leader to head our collective communication library development team. This role involves leading a team of engineers in developing high-performance collective communication implementations for multi-NPU and multi-node AI workloads.
Key Responsibilities
Lead the design and development of collective communication primitives (All-Reduce, All-to-All, Gather/Scatter and etc)
Architect scalable communication protocols for multi-NPU and multi-node systems
Optimize communication performance for NPU architectures
Provide technical leadership to the team members in NPU programming, distributed systems, and communication protocols
Work with a success-driven worldwide international team (Network, NPU, QA, AI, DL/ML Framework)
Define project milestones, deliverables, and technical roadmaps
Ensure compatibility with major AI frameworks (PyTorch, TensorFlow, JAX).

Come help lead the design and development of one of the most ambitious products at the forefront of compute technology!

Responsibilities
Lead a physical design team responsible for all stages of the physical design process-floor planning, placement, clock tree synthesis, routing, timing, and power optimization at both block and subsystem levels.
Mentor and guide a team of physical design engineers through all stages of the design flow.
Collaborate closely with project managers and other technical leads to ensure timely delivery and successful completion of projects.
Drive the technical direction of the physical design process to ensure efficient, high-quality outcomes.
Develop and implement best practices for physical design and continuous improvements of design workflows.
Optimize designs for performance, power, and area (PPA) to meet project goals.
Ensure compliance with DRC (design rule checking) and LVS (layout versus schematic) requirements. .
Drive timing analysis and closure, working closely with the RTL design team to resolve timing violations.

looking for a talented and experienced engineer to participate in the physical design of the companys product for leading one of BE projects. This position involves working with external back-end developers as well as carrying out critical tasks in-house, and leading aggressive back-end initiatives to meet challenging targets in terms of area, timing, and layout. In this role, you will be at the center of the companys design efforts and will have a significant influence on product architecture.

We are seeking a skilled software engineer to join our NPU software stack development team. This role involves developing high-performance GPU programming frameworks, runtime systems, and libraries for AI/ML workloads. You will be responsible for implementing, optimizing, and maintaining GPU software stack components to support distributed AI training and inference.
Key Responsibilities
Identify bottlenecks, analysis and optimize in distributed NPU eco-system
Design and develop NPU memory management system
Design and develop optimized NPU development framework, execution path and debugging
Develop compatibility with AI frameworks (Triton, PyTorch, JAX)
Write high-quality, well-tested code with comprehensive documentation
Collaborate with other teams (Hardware, Network, QA, AI Framework Integration)
Participate in code reviews and technical design discussions.

We are looking for an experienced STA Lead Engineer to join our growing BE team. We are working on the most challenging and interesting ASIC chips. Come join us and have a big impact on our groundbreaking and innovative designs.

We are looking for a driven Technology Implementation Specialist (Microsoft 365 & Copilot) to support the successful adoption of Microsoft 365 and AI-based productivity tools for enterprise clients. The role involves leading workshops, onboarding sessions, and user trainings as part of end-to-end implementation projects, alongside hands-on work within customer environments.
Key Responsibilities:
Lead implementation projects for Microsoft 365 and AI-based productivity tools with global clients.
Conduct discovery and needs assessment sessions to define adoption strategies and technical solutions.
Design and deliver training programs tailored to various user groups.
Deliver professional trainings, workshops, and onboarding sessions (in-person and remote) for end users, managers, and IT teams.
Create clear and user-friendly documentation, playbooks, and learning aterials.
Support clients post-implementation, helping ensure successful and sustained adoption.
Collaborate with cross-functional teams and adapt solutions to meet both technical and business needs.
Utilize low-code/no-code tools (e.g., Power Platform) to build simple agents, bots, or workflows where relevant.
Stay updated on trends and new features within the Microsoft ecosystem and modern work technologies.

seeking a top notch software engineer to drive forward the development of the full software stack and architecture behind our revolutionary coprocessor. You will demonstrate creative and critical thinking capabilities and have a genuine passion for tackling complex low-level software issues.

As part of the memory system team, you will work on design and implementation of new and enhanced features of the memory system to support high performance computing and AI applications in the Maverick accelerator runtime environment.

You will work closely with software engineers, hardware engineers, compiler developers and other stakeholders to enable the most efficient execution of applications on a large scale, multi threaded and highly distributed system across multiple disciplines with a deep OS Internals point of view.

We are seeking a highly skilled AI Application Team Lead to build and lead a team responsible for developing, running, and optimizing large-scale AI workloads on AI hardware platform. This role focuses on benchmarking state-of-the-art models (e.g., LLaMA, DeepSeek), executing MLPerf suites, analyzing system-level performance, and driving cross-stack optimizations across hardware, runtime, and software frameworks.

The ideal candidate combines strong technical depth in AI/ML systems, hands-on experience with LLM workloads, and leadership capability to guide a high-performance engineering team.

We are seeking a talented engineer to work on our AI software stack and specifically the AI graph compiler which optimizes AI models to run on our hardware architecture.

we are looking for an AI Platform Engineer to revolutionize engineering productivity and drive AI-powered innovation across the organization. This role is part of our Platform Engineering initiative, focused on enabling engineers and product teams with cutting-edge AI tools, intelligent automation, and scalable AI platforms.
If youre an innovator at heart, passionate about applying AI to solve complex engineering problems, and thrive in an environment that values experimentation, ownership, and entrepreneurship-this role is for you.
Responsibilities
Develop and integrate AI-powered solutions that enhance engineering productivity, automate workflows, and improve developer efficiency across the organization.
Evaluate, prototype, and implement state-of-the-art AI platforms using latest models and frameworks (e.g., ChatGPT, Claude, Gemini, LangGraph, Librechat, AWS Agentcore Bedrock) to address engineering and operational challenges.
Design, build, and maintain AI-driven internal platforms, including knowledge management systems, AI-enhanced coding assistants, intelligent automation tools, and AI-powered chatbots.
Collaborate closely with engineering, DevOps, and product teams to embed AI capabilities into everyday development workflows.
Lead Proof-of-Concept (PoC) initiatives, experimenting with LLMs, generative AI, and automation frameworks to deliver tangible business impact.
Research emerging AI trends, tools, and models, and translate them into practical, production-ready solutions.
Build and operate scalable AI infrastructure that integrates with cloud environments and existing engineering toolchains.
Promote a culture of innovation by empowering teams to adopt AI-driven solutions and sharing knowledge and outcomes across the organization.

We are seeking a highly skilled and experienced Research Engineer to join our team. In this role, you will collaborate on developing innovative solutions from concept to implementation and help drive the next major revolution in the computing landscape.

We are seeking an exceptional software engineer with the imagination to challenge existing designs and the discipline to implement those ideas in production-quality systems.
This role requires a passion for software development, strong system design skills, and deep expertise in coding and debugging. The ideal candidate is also a natural mentor, capable of guiding and developing junior engineers.
This position is for a Principal Software Engineer with extensive experience in databases and systems algorithms for distributed data platforms (databases, replication, HA, data-traversal, deduplication), who can lead the design and implementation of large, complex initiatives end to end.

This is a high-impact technical leadership role designed for a "star" engineer who can own the entire hardware lifecycle. You will be responsible for stabilizing products from the first prototype through mass production, defining validation strategies, and managing the technical deployment of test stations at global Contract Manufacturers (CMs). You will bridge the gap between R&D, manufacturing, and field reliability to ensure world-class product quality.
Core Responsibilities
Outsourced Station & Vendor Management: Lead the design, setup, and qualification and scale-up of test stations (ICT/JTAG/FT) and debug infrastructure at CM/Outsource partners.
End-to-End Product Stabilization: Own the hardware stabilization process from the first build unit through ramp-up and transition to high-volume production.
Validation & Automation Strategy: Build comprehensive validation plans, review hardware designs for testability (DFT), and integrate automated software tests into production lines.
Advanced System Debugging: Develop hardware debug tools and methodologies to perform deep-dive failure analysis and root cause investigations on systemic issues.
Yield & Data Intelligence: Monitor and optimize yield performance using data analysis techniques to identify trends and failure modes during the NPI lifecycle.
Field & RMA Ownership: Lead technical investigations into field-deployed systems, analyzing diagnostics and telemetry to evaluate RMA claims and provide actionable engineering recommendations.
Cross-Functional Leadership: Collaborate with Mechanical NPI, Test Development, R&D, and manufacturing partners to align test requirements with business needs.
Statistical Process Control (SPC) Implementation: Establish and monitor SPC for critical manufacturing parameters to identify process "drifts" before they result in actual product failures.
Root Cause Corrective Action (RCCA): Lead the formal RCCA process for any manufacturing escapes, ensuring that the "fix" is implemented both in the hardware design and the test software.
Vendor Quality Engineering (VQE): Act as the technical quality lead for CMs and outsourced station builders, defining the "Golden Unit" standards and qualification protocols for all production lines.

We are looking for a Senior AI Engineer to join our Cybersecurity team in Tel Aviv. You will design, build, and productionize LLM-powered applications, multi-agent systems, and MLOps infrastructure that power our company's next-generation cybersecurity capabilities. This is a high-impact, hands-on role at the intersection of applied AI, agentic systems, and network securit
What You'll Do
Design and develop LLM-powered security features and internal AI tools, including RAG pipelines, multi-agent workflows, and prompt-engineered systems tailored for cybersecurity use cases
Architect and operate multi-agent systems in production - including agent orchestration, inter-agent communication, task delegation, and failure handling at scale
Build robust agent monitoring and observability pipelines: tracing agent execution, detecting drift or failure, alerting on anomalous behavior, and maintaining agent reliability SLAs
Build and maintain scalable MLOps infrastructure: model serving, evaluation frameworks, experiment tracking, and CI/CD for ML models
Work with internal datasets (network telemetry, security logs, threat intelligence) to fine-tune and adapt foundation models for domain-specific detection and response tasks
Partner with the Cybersecurity, R&D, and infrastructure teams to define AI-driven security features and deliver them end-to-end
Establish best practices for model observability, safety, and responsible AI deployment within the organization
Stay current with the fast-moving LLM/GenAI and agentic AI ecosystem and evaluate emerging frameworks, models, and tools for adoption.

We are looking for an Algo-Dev Engineer to join one of our research teams. You will be working closely with our researchers, assisting them in achieving their research objective while developing tools and optimizing models in both offline and online environments.
Areas of responsibility include data-handling, deep dive into algo code, design, implementation, and deployment of technologies designed to enable innovative algo-trading projects and support existing and ongoing initiatives.
In this role you will :
Contribute to the continuous evolution and optimization of our internal deep algorithms, bridging the gap between theoretical research and production-ready implementations