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We are seeking a highly skilled and versatile Performance Research and Analysis Manager to join our Performance Group. This role will drive end-to-end performance strategy and execution for our next-generation data centers and solutions based on GPU systems, NIC, Switch, DPU and Networking technologies. The ideal candidate will oversee, evaluating, and optimizing end-to-end AI GPU cluster-level performance for scaling out large scale distributed training and inference jobs communication. The role will focus heavily on RDMA, Networking Protocols, Collective Communication, Congestion Control, and Load Balancing algorithms. Secondarily, you will lead our DPUs and Storage technologies for N-S use cases to support AI Inference jobs. Third, you will drive our Performance Dashboards and Observability for cluster-level performance analysis from a stream line telemetry across NICs, Switches, GPUs, and NVlink.

What you'll be doing:

Drive end-to-end performance strategy, characterization, test plans, and optimization for our next-generation AI GPU clusters, focusing on large-scale distributed training and inference workloads.

Deeply evaluate and optimize our Networking core technologies performance, including RDMA/PRDMA, networking protocols, collective communication (NCCL), congestion control, and load-balancing algorithms.

Work on performance research and analysis of our DPUs and storage technologies in North-South (N-S) use cases and deployment scenarios to maximize performance and efficiency for AI inference jobs.

Drive the strategy for performance observability and dashboards across our next-generation data center solutions and supercomputers by leveraging scalable, streamlined telemetry pipelines to build performance dashboards and automated analytics based on real-time performance metrics across NICs, Switches, GPUs, and NVLink boundaries.

Perform deep root-cause analysis (RCA) on complex multi-node performance bottlenecks, driving actionable mitigation plans across hardware, firmware, and software teams.

We are looking for a brilliant Data Engineer- an independent, logical thinker who enjoys solving complex problems and building scalable data solutions. You will own and evolve the data foundations that power Product, Finance, Operations, and Business teams. Working closely with diverse stakeholders, Analysts, and R&D teams, you will serve as a technical partner, translating complex business challenges into robust data models, pipelines, and infrastructure. You should be able to translate business and data requirements into scalable data pipelines and data models, integrating multiple internal and external data sources using the most appropriate technologies. Beyond building pipelines, you will improve data quality, modernize existing data assets, automate manual workflows, and help create a clean, reliable, and scalable data ecosystem that supports the company's growth.
Roles and Responsibilities:
Design and build end-to-end data pipelines - From defining source structures and integrating APIs to delivering clean, trusted datasets that enable analytics, reporting, and operational workflows.
Translate business needs into scalable data solutions based on business priorities and the product roadmap, understand technical requirements, and deliver purpose-built pipelines and tools.
Act as the technical partner for Product, Finance, Operations, and R&D teams, translating business needs into scalable data models, pipelines, and internal tools while ensuring reliable, trusted data across the organization.
Write high-quality, maintainable code, while following best practices and leveraging modern data tooling and CI/CD principles.
Drive data quality and reliability - Monitor, validate, troubleshoot, and continuously improve data quality and pipeline reliability across the data platform.

We are looking for a talented Senior Software infrastructure and tools Engineer to join the Data Processing Unit (DPU) SW Group. As a part of the team, you will lead complicated integrations which combining new technologies, automating processes, bringing up full software stacks, developing system scripts for cutting edge networking technologies with the quality requirements of industry-leading customers. You will work closely with our SDK development and gain an understanding of our products and technologies.

What youll be doing:

Crafting efficiency and usability improvements across our proprietary products that will help streamline various release pipelines and processes across us.

Definition and development of SDKs to be used for DPU SW development.

POC of new technologies that require additional development/integration efforts.

Creating and maintaining build system for complex SW products.

Developing tools using our various proprietary and other cutting-edge technologies.

Collaborate with team members, Architects, design, QA teams, and verification.

Were looking for a Product Designer who combines strong UX/UI craft with product thinking and a deep understanding of consumer behavior. Youll think beyond how an experience looks, considering how customers interact with it, what drives their decisions, and how design can create meaningful impact for both the customer and the business.
As part of our Product team, youll shape the end-to-end customer experience across our global e-commerce brands, owning design from early exploration through execution, testing, and iteration. Youll partner closely with Product, Design, Engineering, Data, and Marketing, using customer insights, experimentation, and AI-enabled workflows to move quickly, learn, and continuously improve experiences used by millions of customers.
What Youll Be Doing:
Own the end-to-end design process for customer-facing e-commerce experiences, from early exploration through execution and iteration
Design intuitive, high-converting experiences that balance customer needs, usability, and business impact
Partner with Product, Data, Marketing, and Engineering to turn customer insights and business goals into effective product experiences
Move quickly from idea to execution, using rapid prototyping and managing multiple initiatives in parallel
Use, maintain and evolve our multi-brand design system, balancing consistency and scalability with evolving product and brand needs
Collaborate closely with our global Design team, exchanging ideas and feedback to align on design direction and delivery
Partner closely with Engineering to ensure designs are scalable, feasible, and implemented with high quality
Leverage AI tools to accelerate exploration, prototyping, and iteration while applying strong product and UX judgment
Clearly articulate and advocate for design decisions with cross-functional teams and global stakeholders, grounding recommendations in customer, data, and business insights
Stay ahead of emerging trends and tools across consumer product design, e-commerce, and AI, bringing relevant ideas into our products and ways of working.

we are building an AI-powered reverse engineering agent. As a Frontend Engineer, youll build high-signal interfaces for expert users, security researchers working inside complex binaries and large codebases.
This role is about developer tooling and research productivity, not marketing pages. Youll turn complex analysis outputs into interfaces that are fast, precise, and genuinely useful.
What Youll Do
Build UI for reverse engineering and research workflows
Partner with backend and research teams to surface complex insights clearly
Design and implement interfaces for navigating large, messy codebases
Improve performance, usability, and clarity for expert workflows
Own frontend features end-to-end: from spec → implementation → polish.

Were building an AI-powered reverse engineering agent. This role is about the backend that makes it real: services that process binaries, orchestrate analysis pipelines, and deliver fast, reliable results.
What Youll Do
Build backend services in Python for large-scale binary analysis workflows
Design APIs and asynchronous workers that handle heavy processing reliably
Integrate with decompilers and internal analysis pipelines
Improve performance, correctness, and observability across the system
Take features from idea → production with high ownership.

we are building an AI-powered reverse engineering agent. As a Security Researcher, youll help shape how the system understands real-world binaries, by reversing complex targets, finding where automation breaks, and turning that insight into product capabilities.
This is a hands-on research role with direct product impact: your work will influence accuracy, explainability, and trust in the results we deliver to security teams.
What Youll Do
Reverse engineer complex binaries and large real-world codebases
Analyze malware samples and vulnerability-relevant behavior (as needed)
Identify edge cases and failure modes in decompilers and reversing workflows
Work closely with engineering to translate findings into robust product features
Validate accuracy and explainability of analysis outputs across diverse targets.

We are looking for a Chip Design Manager to join our Switch Silicon team. As a Chip Design Manager in our Networking Business Unit, you'll join a group of passionate professionals to design and lead the implementation of the next generation of state-of-the-art Switch Silicon chips. In this position, you'll make a real impact in a dynamic, technology-focused company while developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency!


What You'll Be Doing:

Lead a team of design and verification engineers that develops core units within the Switch Silicon.

Handle micro-architecture for RTL and simulation environment planning for units and modules.

Be responsible for the delivery of complex RTL units and their verification.

Work closely with multiple teams within the organization, such as Architecture, Full Chip, Micro-Architecture, BE, and FW.

We are looking for a talented AI Solutions Engineer to join our innovative AI team. The team develops advanced AI platforms and applications including agentic workflows, Retrieval-Augmented Generation (RAG) systems, Large Language Model (LLM) based solutions, AI agents, MCPs, and more. You will have the opportunity to shape how AI transforms our products and internal processes worldwide. Your responsibilities will include implementing state-of-the-art AI technologies, developing all aspects of the project - AI, code, data preparation, evaluation, and deployment. We are looking for a motivated teammate who thrives on solving complex problems with AI and continuously explores emerging techniques in this rapidly evolving field.

What you'll be doing:

Design and implement Agentic platforms and workflows to simplify the agentic experience across the company.

End-to-end solutions Implementation to increase the organization quality and productivity.

Develop AI solutions that integrate seamlessly with existing products and workflows.

Build evaluation frameworks to measure and improve AI system performance.

Collaborate with cross-functional teams to identify and implement AI opportunities.

Collect and prepare data from multiple large scale sources for AI training and inference.

Our networking is a world-leader in building the most powerful supercomputers in the world which drive the AI and HPC industry. These rely on high performant network ASICs which connect GPUs at scale for efficient data transfer and compute. We are looking for a hardware performance modeling architect to join our team and build a network simulator used for the design, optimization and exploration of our future networking chips. The role is cross-disciplinary, collaborating with hardware and software teams across the wider company. You will solve complex problems, develop innovative solutions and be instrumental in determining the architecture of our next generation networking solutions.

What you'll be doing:

Define the Network Adapter chip architecture end to end from the market requirements through design and all product life cycles (post/pre-silicon, on deployments). Work with related industry standards & customers on deploying your tech.

Collaborate with teams across teams (physical design, logic design, system software, firmware, applications)

Develop cycle-accurate simulation components to evaluate and analyze micro-architecture and architectural options.

Explore innovative ideas to improve and optimize our chip systems performance.

Serve as a focal point within the organization and distribute the knowledge that you acquire.

What is the job:
A leading global high-tech company in Tel Aviv is seeking a motivated and detail-oriented Collections Specialist to join its Finance team. The role offers ownership of the end-to-end collections process, close collaboration with Sales, Accounting, customers, banks and tax authorities, and exposure to complex financial processes.
What will you do?
Manage the end-to-end collections process, including customer balances, overdue receivables and payments follow-up.
Issue customer statements, maintain regular communication, and resolve collection issues and escalations with Sales and internal teams.
Perform customer account reconciliations and ensure accurate records.
Manage special banking transactions, including withholding-tax certificates.
Support customer credit reviews, credit holds and timely release of blocked orders.

What will you do?
The network expert team is part of the customer services group, as a network expert you will act as an escalation point for NOC, customers, and onboarding team for technical network issues.
Assist in incident response and support customers during network events and attacks.
Work with network architects, engineering, and R&D on infrastructure improvements.
Actively monitor, react, and troubleshoot system events and alerts.
Investigate and resolve network related issues.
The position requires on-call duties.

We are expanding our renowned and respected Threat Intelligence Research team with a dedicated focus on online applications, APIs, and modern automated threats. We are seeking a passionate, innovative, Cyber Threat Intelligence Researcher (Associate/Mid-Level profile) to support research efforts focused on Web Application Security, Online APIs, and Bot Management.
Key Responsibilities
Threat Research & Analysis:
Track, analyze, and qualify global security threats targeting Web Applications, Online APIs, and Bot Management solutions.
Monitor threat actor ecosystems and forums.
Uncover and describe infrastructure trends, new attack vectors, and automated attacks trends.
Mine, analyze, and visualize attack data leveraged from public, underground and internal sources to identify emerging trends.
Thought Leadership & Content Creation:
Contribute to threat intelligence reports and author research papers, technical advisories, and regular blog posts on emerging and breaking threats and application attack trends.
Summarize findings into clear and actionable insights for technical and business audiences.
Create customer-facing presentations and research materials; present your findings in front of internal and external audiences.

Were looking for an Technical Project Manager to join our growing Professional Services Team. This individual will be the primary point of contact during the pre-launch period, leading end-to-end implementation while ensuring scope, quality, and project KPIs are met. You will serve as a solution consultant, bridging the gap between R&D, Product, and the client to ensure global enterprises extract maximum value from our AI-driven orchestration.
What Youll Do
Own the end-to-end onboarding journey for new global customers, running engaging kickoff calls and Q&A meetings to drive successful product deployment
Direct and manage day-to-day projects including governance, planning, and stakeholder reporting at customer steer-co meetings while proactively resolving roadblocks to ensure deployments remain on schedule and within scope
Act as a solution consultant to translate business requirements into a feasible product setup within the HiredScore product
Build and maintain onboarding materials (playbooks, quick start guides, FAQs) and use deployment feedback to refine best practices and methodologies
Partner with Data Science, Product, and Customer Success to transition accounts from implementation to long-term adoption, ensuring a smooth handover to Customer Success and Support.