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We are looking for an experienced DFT Design Engineer to join the DFT design team and develop the next generation DFT technologies.

As a design engineer in the DFT design team, you will participate in definition and implementation of our DFT technologies in various projects. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting Switches, Nic and SoC product lines. We are working closely with a wide range of aspects - chip design, backend, verification and production testing. We are working on the most advanced technologies and sophisticated products, our DFT solutions are unique, innovative, and we are continuously improving and evolving the solutions to meet the challenging goals.



What you'll be doing:

In this position, you will be responsible for defining, coding and integrating sophisticated DFT components into various projects and using state-of-the-art technologies.

As a member of our DFT design team, you will participate in defining various DFT features and improvements, write micro-architecture documents, code design blocks, integrate them into various projects, bring your design to silicon tape-out and silicon testing and production.

Strong collaboration with architects, other design teams, verification, back-end and production testing to accomplish your tasks.

We are looking for a Mechanical Design Engineer to join our mechanical engineering department as a key player in the development of next-generation high-performance interconnects optical solutions for data center servers and storage systems. This key position includes leading the product design throughout all lifecycle stages from inception to Mass production, close interaction with HW, PMC (Product management & configuration), NPI, Thermal, Layout, Quality, and Supply chain teams.


What youll be doing:

Drive all the mechanical design aspects of optical transceivers, including PCB design, opto-mechanical chain and mechanical envelope.

Independently lead product design from concept, through detailed design, and support it during Qualification, NPI and MP stages.

Collaborate in research of ground-breaking technologies, materials, and processes with other groups to bring in creative ideas that solve ever-growing needs.

our company's product does the work a SecOps engineer does: it investigates coverage gaps against live enterprise security data, authors and tests detection logic, and tunes noisy alerting. That means product decisions here are SecOps engineering decisions, and they need someone who has actually done the job. You'll join our company's product team and own the detection engineering surface of the product - what good coverage analysis looks like, what correct detection content looks like, what a security team should be able to trust the product to do on its own. we are defining a category around Security Operations Resilience, and the fastest way to get that right is to be genuinely credible with the SecOps engineers we're building for.
What you'll be doing
Drive the detection product domain: Bring deep expertise in SecOps engineering across SIEM, data pipelines, and SOAR, and help the product team define where the product should excel. Develop a strong understanding of the day-to-day work of SecOps engineers and the challenges they face.
Turn expertise into product insight: Conduct deep, hands-on research across real security environments, SecOps engineering practices, data, and tooling. Combine customer feedback with your own experience and the knowledge of the broader team to identify meaningful problems, opportunities, and product directions.
Shape and execute the roadmap: Translate product insights into a focused roadmap aligned with company strategy and customer needs. Partner with the product and engineering teams to prioritize initiatives, make tradeoffs, define outcomes, and drive execution from discovery through delivery.
Turn problems into product direction: Translate ambiguous problems into clear product requirements and actionable plans. Work closely with engineering, design, and security experts to ensure complex technical problems are translated into products that are useful, intuitive, and technically sound.
Shape and evaluate AI agent capabilities: Define what our companys AI agent should be capable of doing as a SecOps engineer, what good looks like, and where it must be trusted or constrained. Develop evaluation frameworks, scenarios, and ground truth to measure and continuously improve agent performance.
Own product quality and outcomes: Maintain a deep understanding of how the product is used in real-world security operations. Validate assumptions, identify gaps, and use customer feedback, product data, and operational experience to continuously improve the product and its direction.

We are looking for a Senior Support Engineer to join our Israel-based support team. This role is critical to maintaining excellent service for our English and Hebrew-speaking customers, handling complex technical and customer-facing issues independently, and helping the team adapt to the next generation of AI-enabled support workflows.
The ideal candidate is a strong hands-on problem solver, an excellent communicator in Hebrew and English, and a senior team player who can elevate team quality, partner closely with leadership, and contribute to improving our internal tools, AI-based workflows, and support processes.
This is a hands-on senior individual contributor role with broad impact. In addition to resolving complex customer issues end to end, this person will help shape how support operates in an evolving environment that increasingly includes automation and AI-assisted workflows and tools.
Why this role matters:
Israel is a critical support hub for our business. Some of our customers require high-quality support in Hebrew, especially in complex or sensitive cases where local language, context, and live communication are essential.
At the same time, the support role is becoming more complex. AI-based tools and automation are becoming part of daily work, raising the bar for ownership, judgment, adaptability, and cross-functional collaboration. We need a senior team member who can thrive in this environment, help the team adopt new ways of working, and contribute to improving the tools and processes we use.
What youll do:
Own complex technical and product-related support cases from investigation through resolution.
Provide high-quality support to customers in Hebrew and English across written and live interactions.
Handle ambiguous, high-impact, or cross-functional issues with strong judgment and minimal supervision.
Act as a senior point of contact for escalations, sensitive customer situations, and priority cases.
Mentor teammates by sharing knowledge, setting a high bar for case handling, and helping improve team practices.
Use AI-based tools and internal tools effectively in day-to-day work to improve speed, quality, and consistency.
Help to define, maintain and improve support agents, AI-assisted tools, bots, workflows, automations and documentation to improve support effectiveness.
Identify opportunities to reduce friction, improve self-service, and optimize internal support flows.
Collaborate with Product, R&D, Customer Success, TPE, and other internal stakeholders to resolve issues and improve the customer experience.

our company's product is built around an AI agent that security analysts and detection engineers work with directly. It investigates coverage questions against live enterprise security data, authors and tests detection logic, and tunes noisy alerting.
That agent is already in production with enterprise design partners. Now we need to make it dependable and scalable enough for GA.
You will own that evolution: the agent architecture, its evaluation and quality system, and the production engineering around it. This is a hands-on senior IC role with real architectural authority - you set the technical direction and you write the code.
The agent operates inside customer security environments, where a wrong action can become a customer incident. Correctness, isolation, observability, and evaluation are not polish. They are the product.
What you'll be doing
Agent architecture: Design the evolution from today's production single-agent system to a multi-agent one: orchestration, task decomposition, runtime and framework choices, and a migration path that does not break what design partners already rely on.
Agent capability: Own the prompts, context, skills, and tool design that make the agent genuinely good at detection engineering across multiple security platforms, not just plausible-sounding.
Evaluation platform: Build the harnesses, judges, and golden datasets that turn "the agent feels better" into a number, plus the CI gates that keep regressions from shipping.
Reliability and safety: Keep long-running agentic sessions healthy in production, and build the isolation and guardrails required of an agent working inside enterprise security environments.
Production debugging: Work real failures from production traces, and turn each one into an eval case that can never regress silently.
Technical direction: Make the calls on architecture, sequencing, and quality bar and be accountable for the outcome, including raising how AI-natively the whole team builds.
Cross-team partnership: Partner with product and customer-facing teams on what the agent should do, and with platform teams on the data and integrations it depends on.

our company's platform runs inside the security stacks of enterprise customers, processing live detection and telemetry data from SIEM, EDR, and SOAR systems at real scale. Until now, infrastructure has been built and carried by the founding engineering team alongside everything else. You will be the first dedicated owner of it. That means designing our company's cloud foundation across GCP and AWS, building the deployment, scaling, and observability layers from the ground up, and setting the standards the rest of engineering builds on. It also means holding a bar that most startups can defer and our company cannot: we sell to security teams who audit their vendors seriously, so how we run our own infrastructure is part of how we win. This is a hands-on senior role with real architectural authority, and as engineering grows you become the person others learn cloud and infrastructure from.
What you'll be doing
Multi-cloud architecture: Own the design and implementation of our company's multi-cloud architecture across GCP and AWS, including the cross-cloud standards, boundaries, and tradeoffs that keep two providers from becoming twice the complexity.
Infrastructure as code: Build and maintain the entire environment in Terraform, so infrastructure is reviewable, reproducible, and scales without a person in the loop.
Deployment pipelines from scratch: Create the CI/CD foundation that lets a small team ship quickly and safely, with the testing, gating, and rollback paths that make fast releases boring rather than risky.
Kubernetes at data scale: Run and scale the Kubernetes and containerized workloads behind our company's security data processing, where volume, latency, and cost pressure all show up at once.
Security of our own stack: Own identity, access, secrets, network boundaries, and infrastructure hardening to a standard that holds up under customer security review.
Reliability and visibility: Build the logging, monitoring, and alerting layer that tells us something is wrong before a customer does, and make on-call sustainable as the system grows.
Technical direction: Partner directly with the founding engineering team on architectural decisions, and raise the infrastructure and cloud fluency of every engineer who joins after you.

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're looking for a hands-on Software Team Leader to lead the Engagement team, owning the architecture, delivery, and production health of the OneLink serving path.
Our stack is deliberately polyglot: Clojure, Go, Java, and Node, with the persistence layer chosen per problem across Kafka, Redis/ElastiCache, PostgreSQL, DynamoDB, and MongoDB. Everything runs on AWS (Kubernetes, multi-region), behind CDNs at the edge
What Youll Do:
Lead, mentor, and grow a team of senior backend engineers, covering hiring, career growth, and honest feedback, while staying personally hands-on in architecture, design reviews, and code.
Own the end-to-end design of the OneLink serving path.
Own the edge layer together with Infra, including CDN strategy across branded and non-branded domain and edge compute.
Own production, including SLOs, capacity, and cost efficiency at scale, and take part in the on-call rotation.
Partner with Product, Data, and Infra to turn ambiguous requirements into a sequenced technical plan.

We're looking for a Senior Backend Engineer who enjoys turning complex statistical and algorithmic logic into scalable, production-grade systems. You'll build and optimize the services that power our experimentation engine, ensure the reliability of the pipelines behind it, and work closely with data scientists and product managers to bring new capabilities to life.
What youll do:
Develop end-to-end services and features, from gathering requirements and research to implementation, deployment, and monitoring.
Integrate and implement AI flows and solutions into the team and department.
Solve unique and yet unsolved industry problems at scale, even when faced with limited clarity on the optimal solution approach. Your ability to navigate and conquer such challenges will be highly valued.
Collaborate closely with Product Managers, Analysts, Data Scientists, and Software Engineers, working together to deliver exceptional value to our customers. Your contributions will directly contribute to shaping the success of our products.
Dive deep into the analysis and optimization of performance, scalability, and stability across our product portfolio, as well as the environments and tools supporting them. Your insights and improvements will have a significant impact on ensuring our technological excellence.
Embrace a continuous learning mindset, constantly exploring and evaluating new technologies. This commitment to innovation ensures that our products and systems remain at the forefront of the industry, effortlessly adapting to the ever-growing scale of our operations.
Elevate your impact by mentoring others, leading projects, and advocating for engineering best practices within your team. Your influence will extend beyond your own work, fostering a culture of growth and excellence.

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 seasoned Product Partnerships Manager in Israel to lead our efforts in improving measurement integrity, partner signal quality, and exploring joint technological offerings with strategic partners.
You will interact with top-tier partners (ad networks and martech platforms) and work cross-functionally with internal Partnerships, Product, R&D, and marketing teams to advance mutual projects and present the partner angle of every product-related initiative.
The Product Partnerships team operates at the intersection of product, partners, and ecosystem strategy.
Our mission is to extend our measurement authority across the ad ecosystem by improving partners data integrity and signal quality, and by broadening and deepening partners integrations with our features.
The Product Partnerships Manager role is perfect for someone with a technical/product orientation, and a strong knowledge of the ad tech ecosystem, who loves solving problems and creating win-win situations with partners.
What you'll do:
Own strategic product collaboration with key platforms across the advertising and marketing ecosystem (e.g. ad networks, DSPs, analytics and engagement platforms)
Unlock obstacles to partner integrations and capabilities by working closely with Product and R&D teams to define, build, and improve scalable solutions
Ensure high-quality data flows and measurement integrity, acting as a subject matter expert towards partners on attribution, data accuracy, and signal quality
Identify and execute opportunities to enhance partner value, including improving performance, expanding use cases, and increasing partner adoption
Support revenue growth through partnerships by enabling deals, removing technical blockers, and aligning partner capabilities with customer needs
Act as the voice of partners internally, influencing product roadmap, prioritization, and go-to-market strategies
Lead cross-functional initiatives across Product, R&D, Sales, and Customer Success to deliver impactful partner solutions
Monitor ecosystem trends and partner developments, identifying risks, opportunities, and competitive dynamics
Drive operational excellence and scalability, improving processes and leveraging AI and automation where possible
Operate self-sufficently to pull and analyze data to understand impact of product changes on partners and identify potential issues
Collaborate with marketing on communication to partners about product updates and changes.

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.