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Join our dynamic team, responsible for managing and maintaining high-quality VLSI development infrastructure for the Backend Networking team. We seek a dedicated and driven Software Engineer eager to manage compute and storage effectively, develop scripts and automation, create dashboards and apps, leverage modern AI-assisted engineering workflows.

What you'll be doing:

Oversee and optimize compute and storage resources, ensuring operational efficiency and success of VLSI projects.

Develop and maintain scripts, automation tools, and AI-assisted workflows to streamline infrastructure tasks and improve developer productivity.

Design, implement, and maintain dashboards for monitoring and reporting on infrastructure performance and usage.

Work closely with a remote team in Israel, ensuring smooth communication and coordination on infrastructure-related tasks.

Engage in the entire lifecycle of infrastructure tool development, including design, testing, deployment, and maintenance.

Collaborate with other team members and DA teams to implement innovative software solutions and agentic coding practices using modern AI tools.

We seek an AIR SaaS Platform Verification Manager to join our Air - the Data Center Digital Twin. As a AIR SaaS Platform Verification Manager, you will have to work closely with our development and architecture teams responsible for our Air and gain a deep understanding of our products and technologies. and gain a deep understanding of our products and technologies.


What youll be doing:
Leading and managing the verification team responsible for AIR SaaS Platform, ensuring high quality delivery of both the backend and the frontend, working closely with diverse cross-functional teams to effectively implement, improve and automate verification strategies for cloud and on-prem deployments.
Work with the DevOps to integrate the verification pipeline into the CI/CD and use your expertise in Python and frontend testing to identify the most effective verification methodologies and tools, suggest reporting process improvement.
Analyze customer-reported issues, identify test gaps, and ensure robust regression coverage.
Foster a culture of innovation, quality, ownership, and accountability.
Support team members with career development plans and achievable growth goals.
Drive improvements for performance, quality, stability around SW acceleration solutions.
Stay up to date with industry standard methodologies, new technologies, and emerging trends in software verification.

We are looking for a talented and experienced Firmware Architect to join our Network Adapter Firmware team in Yokneam.

As part of our technical leadership team, you will define the firmware architecture for next-generation networking devices and drive design of innovative technologies powering the world biggest AI Platforms, cloud computing, HPC, storage, and automotive platforms.

The Network Firmware team develops cutting-edge firmware that enables the world's largest cloud providers and enterprises to deliver high-performance, reliable, and secure networking solutions. Working alongside exceptional engineers across the globe, you'll thrive in a dynamic, collaborative, and fast-paced environment while solving some of the industry's most challenging technical problems.

What you'll be doing:
Collaborate closely with Hardware, Software, and System Architecture teams to define end-to-end solutions.
Define the firmware architecture for new products and features at the core of our NIC firmware.
Lead the design and implementation of strategic technologies, including functional safety, security, and next-generation networking capabilities.
Mentor and technically guide R&D engineers throughout architecture, design, and implementation.
Drive technical direction across multiple teams while ensuring scalable, maintainable, and high-quality firmware architecture.

We are looking for a talented Experienced Firmware Engineer to join our Network adapter Firmware team. The Firmware team develops cutting edge networking features for cloud, HPC and storage. We drive the data growth of the worlds biggest companies. With talented engineers around the globe, the work environment is dynamic, meaningful and fast paced.

What you will be doing:

Work closely with the architecture and different software design teams.

Implement new features in the core of our NIC firmware.

Implement verifiers for advanced features in our advanced random Firmware testing environment.

Gain a deep understanding of system debug, networking technology and stacks, as well as the HW/FW/SW relationship.

You will learn how a big software project is operated, maintained, qualified and released, and how Hardware and Firmware are developed.

We are seeking a Director of Software Architecture to lead and accelerate the evolution of next-generation AI data center and networking technologies. This role is designed for a hands-on, execution-driven leader who pushes boundaries, translates vision into reality, and delivers high-impact solutions at scale. You will operate at the intersection of innovation, architecture, and delivery-shaping the future of AI networking and infrastructure.

What you will be doing:
Drive identification, evaluation, and rapid adoption of emerging technologies, ensuring strong alignment with strategic roadmap and measurable business outcomes.
Lead the design and delivery of advanced networking applications, leveraging data plane programming and modern networking protocols to solve complex, large-scale challenges.
Architect solutions across AI data center environments, integrating GPU-based systems, hardware acceleration, and high-performance networking.
Act as a thought leader and industry influencer-engaging directly with customers, publishing technical content, and representing us at key conferences and forums.
Define and execute a bold architectural vision for our networking in close collaboration with cross-functional software and hardware leaders.

We are seeking an AI Networking Architect to join the Networking Research Group. This role will help bridge the gap between emerging tasks supported by advanced technologies and the data center infrastructure that powers them. In this role, you will work at the intersection of AI applications, distributed systems, networking hardware, and software architecture.

You will join a focused team of multidisciplinary engineers driving AI workload optimization through deep application understanding, network analysis, and end-to-end systems thinking. Your insights will directly shape our products across the full stack - from applications and software libraries to hardware architecture and physical design.

What Youll Be Doing:

Model the performance of complex AI workloads to identify bottlenecks and recommend system-level optimizations.

Analyze brand-new AI models, distributed training techniques, and inference workloads to understand their infrastructure requirements.

Build Platforms, simulations and HW platforms, execute AI workloads and build analytical tools to evaluate trade-offs across compute, memory, storage, and network behavior.

Translate research insights and workload behavior into actionable software, hardware, and networking architecture requirements.

Partner with architecture, software, and product teams to influence our future networking and AI infrastructure roadmaps.

Drive architectural innovation by applying deep workload analysis to real-world advanced machine learning frameworks.

Own the intelligence layer - the AI research pipeline that classifies and risk-scores every tool we find. Discovery tells us what software an organization runs; the AI does the hard part: figuring out what each tool actually is, what it can do, how it handles data, and how risky it is. You'll own that research and enrichment system end to end - the LLM-backed agents, the prompts and context that drive them, the evals that keep them honest, and the cost and latency of running them at scale.

This is an engineering role, not a research one. You'll ship production TypeScript, and you'll be measured on the accuracy, cost, and reliability of the intelligence the product depends on.

What you'll work on

The multi-agent researcher system: LLM-backed agents that research each tool across topics like platform, data policy, AI models, and agentic capabilities, and return structured, evidence-backed classifications.

Evals and quality: design eval sets, measure classification accuracy and hallucination, and turn prompt changes into regression-tested, reviewable diffs instead of guesswork.

Grounding and trust: cite evidence, resolve contradictions between AI output and validated data, and drive down hallucination on the fields that matter.

Model routing and cost/latency: choose and route across providers, tune concurrency and caching, and keep the pipeline fast and affordable as volume grows.

Structured outputs, tool/function calling, and the schemas and validation that make model output safe to persist.

Deep observability into the pipeline - spans, traces, and metrics for every model call.

Own the pipeline that turns raw endpoint telemetry into security intelligence. You'll work at the core of Neo: the ingestion and enrichment path that takes reports from tens of thousands of endpoints, extracts and deduplicates software, and runs an AI research pipeline that classifies and risk-scores every tool. You'll design the data model, the public API our dashboard and customers depend on, and the auth and identity layer that ties it all to real organizations.

What you'll work on

The event-driven ingestion pipeline: S3 uploads → Lambda processors → Postgres, with idempotent processing, stale-work reaping, and back-pressure at scale.

The AI enrichment and researcher system - orchestrating LLM-backed agents, handling contradictions, and keeping cost and latency in check.

The public REST API (Hono), its typed schemas, and the generated clients that consume it.

Authentication, SSO/SAML federation, and multi-tenant identity and authorization.

Data modeling and schema evolution you can ship without downtime.

We are connected to over 1,000 financial institutions worldwide, allowing us to centralize a range of global and local payment methods on a single, unified payment page.

Description:

Own the first response and qualification process for all inbound leads to ensure adherence to established SLAs

Execute a rigorous pre-approval checklist and disqualify leads with clear reasoning to ensure only high quality prospects reach the Sales team

Schedule qualified meetings for the Sales team via Calendly and maintain clean CRM documentation for seamless handoffs

Build and manage outbound ABM account lists that match our approved Ideal Customer Profile (ICP) and geographic targets

Execute multichannel outreach sequences using Clay, personalizing messaging based on market trends and operational pain points

Follow up systematically with soft hand raisers from gated assets to progress them through the funnel

Provide a continuous feedback loop to Marketing regarding lead quality and campaign performance to enable real time optimization

Monitor and report on key performance indicators including lead to meeting conversion rates and outbound reply rates

Build the dashboard security teams live in all day. You'll own the experience where customers actually do the work: dense inventory tables, identity and software graphs, and the policy builders that turn discovery into enforcement. This is data-heavy, detail-heavy product surface where performance and clarity matter as much as polish.

What you'll work on

Inventory and findings screens over large datasets - fast, filterable, URL-addressable table state.

Identity and relationship views that make a messy org legible.

Policy and rule builders: complex, stateful UI that has to stay understandable.

Our internal design system and its Storybook - the shared vocabulary every screen is built from.

The design-to-code pipeline: design tokens synced from Figma and enforced in CI.

We're hiring for leverage, not years. If you can wield agentic coding tools better than most senior engineers - and you've shipped real, working software with them - we want to talk, regardless of how long you've been doing this or where you learned it. This role is designed for someone earlier in their career who, armed with the right tools and the judgment to use them, delivers like someone far more senior.

You'll work across the whole stack: a single feature might run from a Drizzle schema change, through a Hono endpoint, to a new React screen. The agentic toolchain is how you cover that ground - but the judgment to review, verify, and take responsibility for what the tools produce is what makes it work.

What you'll work on

Full, thin vertical slices - backend to frontend - shipped behind previews and a merge queue.

Extending and hardening our agentic-dev toolchain: skills, workflows, and MCP servers the whole team relies on.

Whatever's highest-leverage that week - you'll move across the codebase more than most.

The same systems work as our senior role, aimed at someone earlier in their career who gets real work done in a hard codebase with agentic tools. Systems programming has a reputation for being locked behind ten years of experience. We don't fully buy that. Someone with solid fundamentals, real curiosity about how machines work, and deep control of agentic coding tools can contribute here much sooner - as long as they have the judgment to check what the tools hand back. That judgment matters more here than almost anywhere: the agent runs as root and SYSTEM, and the codebase forbids unwrap, panic, and unchecked indexing, so you can't ship code you don't actually understand.

What you'll work on

Real pieces of the sensor across macOS and Windows: inventory, telemetry, the policy enforcement path, installers, and the integrations that hook into AI coding tools and browser extensions.

Moving through unfamiliar OS APIs quickly with agentic tools, then checking the result against the docs, the tests, and a real machine.

Small tools and tests that make the codebase easier for everyone to work in.

Tech you'll work with

The work is low-level systems development in Rust, close to the operating system across Windows, macOS, and Linux - memory, processes, files, and the OS internals that expose them. Alongside that, you'll lean hard on agentic coding tools; deep fluency with at least one is central to how we work, not a bonus. Expect to range across the stack - OS internals, AI tooling internals, CI, and a fair amount of reverse engineering - and to learn the parts you don't know yet.

A sensor runs on every customer machine, takes inventory of the software and AI tools in use, sends that back over an encrypted channel, and enforces policy locally. It runs as a service on Windows and a daemon on macOS, with the access and the responsibility that come with running as SYSTEM and root. This role owns the hard parts of it.

What you'll work on

The sensor itself: software inventory, secure telemetry, and on-device policy enforcement, on both Windows and macOS.

Real OS work. On macOS that means Launch Services, Spotlight, IOKit, the Security framework, and Open Directory. On Windows it means services, ETW, WMI, the registry, and WinSock.

The policy enforcement point: evaluating rules over events (including AI-tool use and browser extensions) against a policy engine, and talking to the backend that makes the decisions.

Encrypted logging and telemetry, crash handling and symbolication, and the recovery path that keeps the agent running and hard to tamper with.

Signed installers and macOS configuration profiles.

Tech you'll work with

The work is low-level systems development in Rust, close to the operating system across Windows, macOS, and Linux - memory, processes, files, and the OS internals that expose them. Alongside that, you'll lean hard on agentic coding tools; deep fluency with at least one is central to how we work, not a bonus. Expect to range across the stack - OS internals, AI tooling internals, CI, and a fair amount of reverse engineering - and to learn the parts you don't know yet.

A B2B SaaS and FinTech innovation leader, is seeking a Full Stack Team Lead to drive AI-first development across our core platform.
As an AI-first company, we integrate artificial intelligence into every facet of our operations, from product development to internal processes. In this role, you'll lead a team of 5-6 dedicated full-stack developers, working on cutting-edge technologies to enhance user experiences and data-driven solutions.
You'll have the autonomy to make technical decisions and support other developers in a collaborative environment.
What You Will Do:
Lead Development Initiatives: Guide a team of full-stack developers in building our core applications, ensuring the integration of AI-driven features.
Mentorship: Provide technical guidance to engineers, fostering their growth and promoting best practices in AI-assisted development.
Architectural Decisions: Make hands-on technical decisions for backend (Java + AWS) and frontend (React/Angular) components, incorporating AI tools where applicable.
Code Quality: Write clean, maintainable, and efficient code, setting high standards for code quality and review practices.
Cross-Functional Collaboration: Work closely with Product teams to prioritize features, estimate work, and keep projects on track, leveraging AI to streamline processes.
Innovation: Identify pain points and drive improvements in our codebase and processes, utilizing AI to enhance efficiency.
Team Motivation: Ensure daily alignment, remove blockers, and champion best practices within the team.
You Will Get:
AI-driven workplace: Work with cutting-edge tools like ChatGPT Enterprise to enhance productivity, spark innovation, and streamline your day-to-day.
Hybrid model: Join us in our Tel Aviv office three days a week (Tue-Thu), with the flexibility to work remotely the rest of the week.
Stock options and real ownership in what you help build.
Career growth supported by experienced, innovation-focused leadership.
Modern, inclusive environment within a fast-moving scale-up culture.

Were hiring an AI Backend Engineering Manager to guide and grow a high-impact ML team driving AI-powered innovation across our B2B SaaS platform. Youll lead the design and delivery of AI solutions while mentoring engineers and setting the technical direction for AI-first development at scale.
This is a leadership role with a balance of hands-on engineering and team management, perfect for someone who thrives on solving technical challenges, inspiring a team, and shaping the future of AI in fintech automation.
What You Will Do
Lead & Mentor: Manage, mentor, and grow a team of AI/ML/Backend engineers, fostering technical excellence and career development.
Set Technical Direction: Define the ML strategy, ensuring best practices in architecture, frameworks, and operationalization.
Build and deploy AI-based solutions: Oversee the development and deployment of GenAI/LLM-powered solutions that address real-world challenges across our products.
Scale & Operationalize: Establish scalable ML infrastructure, CI/CD, observability, and data pipelines for high-availability production systems.
Collaborate Cross-Functionally: Partner with product managers, engineers, and business stakeholders, clearly communicate progress, challenges, and outcomes.