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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.

The System product engineer is responsible for stabilizing hardware products from the first build unit through ramp-up and transition to high-volume mass production. This role plays a critical part in ensuring product quality, yield, and test robustness for our cutting-edge platforms by leading debug infrastructure development, systematic failure analysis, and data-driven continuous improvement across the NPI lifecycle.

What you'll be doing:

Own end-to-end product stabilization from first article to production release.

Develop and maintain hardware debug infrastructures, tools, and methodologies to support efficient root cause analysis.

Monitor, analyze, and improve yield performance during NPI.

Perform deep-dive failure analysis and root cause investigations to improve product robustness, quality, and throughput.

Improve test stability, coverage, and repeatability while reducing false failures.

Collaborate closely with Mechanical NPI engineers, Test Development teams, R&D, and manufacturing partners.

Apply data analysis techniques to identify systemic issues, trends, and optimization opportunities.

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.

we are looking for an experienced Program Manager.

This is a high-impact, hands-on role, managing active U.S. defense programs from inception to delivaries.

You will report directly to the US GM and serve as the operational backbone connecting program management, engineering, and procurement across our Israel and U.S. offices.

Key responsibilities including:

Serve as the Israel-based program management lead supporting U.S. customer programs, ensuring alignment between U.S. Program Management, Israel Engineering, R&D, Operations, and technical subject-matter experts.
Partner closely with the U.S. Program Manager, who retains full program ownership and serves as the primary customer interface, to translate customer requirements, schedules, and priorities into actionable execution plans for Israel-based teams.
Drive Israel engineering and technical teams to meet U.S. program timelines, deliverables, product milestones, and quality expectations.
Act as the in-country representative of the U.S. GM within Israel R&D, engineering, and product development processes, ensuring U.S. business priorities are clearly understood and executed.
Proactively identify, escalate, and help resolve risks related to schedule, cost, technical performance, resource availability, product readiness, and customer commitments.
Provide clear and timely communication to the U.S. team regarding engineering progress, technical blockers, design changes, scope changes, and any developments that may impact program execution.
Coordinate cross-functional technical reviews, milestone tracking, action-item closure, and decision-making between U.S. and Israel stakeholders.
Ensure engineering changes, product updates, and technical decisions are properly communicated, documented, and assessed for impact on U.S. customer commitments.
Maintain disciplined follow-up with Israel-based teams to ensure accountability, execution velocity, and transparency across all active U.S. programs.
Support the U.S. team in preparing program updates, technical inputs, customer-facing materials, and internal executive briefings as required.

We are seeking a highly motivated and experienced System Engineer to join our team and lead the development of sophisticated solutions that push the boundaries of flight

responsibilities:

Lead the development of innovative and complex airborne systems
Develop system requirements that meet customer requirements and product definitions provided by other departments
Facilitate PMO on developing integration plans identifying timelines, resources and equipment requirements to integrate engineering designs into higher level products
Define and lead system level test plans to validate that the engineering designs meet requirements
Collaborate with the R&D and Line of Business managers to ensure timely project delivery
Work as an integral part of the Engineering team in the development of new products and supporting existing products
Define and lead experiments, tests and studies, and/or analytical investigations and provide clear and meaningful results and analysis
Compile and assist in the presentation of test data collected during design validations to a peer group of engineers
Work in collaboration with a multi-disciplined engineering team to develop engineering designs/solutions from initial POC to onsite customer implementations
Contribute to documentation for use in the manufacture, installation, technical support and training related to the final design
Support engineering products through entire life cycle including; assist in installation at customer site, assist in product upgrades and improvements, support of service escalations and product EOL
Oversee technical management of sub-contractors

We are seeking a skilled and experienced UAS Operator and Instructor to join our growing team. In this role, you will be a key contributor, responsible for training, technical support, and operational execution related to our UAS (Unmanned Aircraft Systems) products.

Responsibilities:

Lead independent training sessions for internal and external customers on new UAS equipment.
Provide technical support to customers.
Conduct demonstrations and participate in sales events.
Actively participate in field testing operations.
Occasionally assist Lab Technicians during flight testing operations, with a focus on UAS maintenance and quality control.

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.