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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.

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.

We're looking for an AI Engineer to design and own the agentic infrastructure that spans the entire company

What You'll Do

Architect and ship agentic capabilities as production-grade product features - owning the full tradeoff space across reliability, observability, security, latency, deterministic behavior and cost.

Design and build AI agents that operate across Oak's identity graph, automating complex identity related workflows.

Evaluate and integrate emerging LLMs, agent frameworks, and agent infrastructure, making principled build-vs-integrate decisions grounded in production requirements.

Partner with R&D and product leadership to identify where agentic automation delivers the highest leverage across the product.

As a Security Researcher, you'll own and evolve the core of the platform: the frameworks and logics that turn fragmented, cross-surface identity data into precise, high-signal insight. You'll work directly with real-world data to find emerging attack patterns, reason about privilege and exposure, and convert what you learn into intelligence that tells customers what's actually risky - and what to do about it.
Identity is also the fastest-moving attack surface in the enterprise right now. The explosion of non-human identities and autonomous AI agents is rewriting what "who has access to what" even means, and you'll be at the front of it - defining how discovers, scores, governs and secures these identities before the rest of the market has a vocabulary for the risk.
You'll also shape voice in the field. Through original research, published findings, and technical thought leadership, you'll influence how practitioners and analysts understand identity risk as the perimeter dissolves.

What you will Do:
Drive research end-to-end - from hypothesis and exploration all the way through to the intelligence and logic that ship into the platform and makes impact on our customers.
Translate deep expertise in identity and security into the analytical engine that drives how reasons about risk, governance, and access decisions across organizations.
Create and own knowledge - the content, logic and intelligence behind every insight made, while setting and maintaining the quality, accuracy depth and coverage of the platform.
Pioneer approach at the cutting edge of a category being reinvented - as the identity foundations are rebuilt for a new world
Shape the field's understanding of identity through original research and technical thought leadership, while raising the research bar across the team and delivering top-tier value to our customers.

Integrated Circuit Product Engineering (ICPE) plays a key role in bringing our networking products from early development through production. This role focuses on building the testing infrastructure that helps networking products move from early bring-up through production release, with strong emphasis on power and performance.

What youll be doing:

Architect and build a scalable software-based test infrastructure for networking hardware, with emphasis on power and performance coverage across the product lifecycle from bring-up to production release.

Develop autonomous and agentic workflows that orchestrate test execution, system initialization, measurement, monitoring, logging, data collection, and analysis with minimal manual intervention.

Create the software layers around test content, including scheduling, execution control, telemetry pipelines, result handling, and data processing frameworks.

Integrate lab equipment such as power supplies, thermal solutions, and related instrumentation into a unified automation environment.

Enable high-throughput, high-quality engineering workflows by connecting the infrastructure to CI/CD systems, release flows, and quality gates.

Partner closely with hardware, firmware, product engineering, and lab teams to improve coverage, reliability, and observability across complex networking platforms.

Drive software design and engineering best practices for maintainability, scalability, and long-term platform evolution.

We're looking for a talented Robotics Algorithm engineer to join our team and develop cutting-edge perception and localization capabilities for autonomous systems. Design, develop, and optimize algorithms for SLAM, Mapping, Localization, Sensor Fusion, and State Estimation. Build robust solutions using data from LiDAR, Cameras, IMU, GNSS, and Odometry sensors. Implement and improve graph-based optimization and probabilistic estimation algorithms. Integrate Machine Learning and computer vision techniques into perception and navigation pipelines. Develop, TEST, and validate algorithms in simulation and real-world environments. Optimize software for Real-Time performance on Embedded and edge computing platforms.

Power the Future with us! we are a global leader in high-performance smart energy technology, with over 3000 employees, offices in 34 countries, and millions of products installed in over 133 countries. Our diverse product offering comprises intelligent solar inverters, battery Storage, backup systems, EV charging, and complete home energy management ecosystems. By leveraging world-class engineering capabilities and with a relentless focus on innovation, we strive to create a world where clean, green energy from the sun is the primary source of power for our homes, businesses, and just about everywhere we thrive. About the Role: Join our dynamic Mechanical Engineering team and play a key role in developing our company's next generation of cutting-edge products. As a Mechanical Engineer, you will be responsible for the design, development, and validation of mechanical components and systems for our diverse product line, focusing on innovation and manufacturability. This role offers the opportunity to contribute directly to the advancement of sustainable energy solutions. Responsibilities:
* Design and develop robust and reliable mechanical solutions for electronic packaging, particularly for high-power outdoor products, considering thermal management, environmental protection, and manufacturability.
*  Design components optimized for various manufacturing processes, including plastic injection molding, die casting, extrusion, and sheet metal fabrication.
*  Collaborate with electrical engineers on the mechanical integration of printed circuit boards (PCBs) within product enclosures.
* Create and maintain detailed production documentation, including mechanical drawings, assembly instructions, and PCB layouts, ensuring accuracy and completeness.
* Review First Article Inspection (FAI) reports, analyse results, and approve parts for mass production, ensuring adherence to quality standards.
* Perform engineering calculations (e.g., stress analysis, heat transfer analysis, magnetic simulations, dynamic analysis) to validate designs and ensure performance requirements are met.
* Participate in design reviews, contribute to problem-solving, and drive continuous improvement in design processes.
* Collaborate with cross-functional teams, including product management, manufacturing, and testing, to ensure successful product development and launch.
* Contribute to the validation, testing, and troubleshooting of mechanical components and systems throughout the product development lifecycle.
Country:
Israel
City:
Herzliya