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We are seeking a highly skilled AI Application Team Lead to build and lead a team responsible for developing, running, and optimizing large-scale AI workloads on AI hardware platform. This role focuses on benchmarking state-of-the-art models (e.g., LLaMA, DeepSeek), executing MLPerf suites, analyzing system-level performance, and driving cross-stack optimizations across hardware, runtime, and software frameworks.

The ideal candidate combines strong technical depth in AI/ML systems, hands-on experience with LLM workloads, and leadership capability to guide a high-performance engineering team.

What Youll Do
Manage the front desk on the R&D floor, ensuring a welcoming and professional atmosphere.
Greet and assist guests, vendors, and employees.
Serve as the primary point of contact for employees' administrative needs, ensuring an excellent employee experience.
Oversee and execute daily office operations, including facilities, logistics, and maintenance.
Assist in planning and coordinating office events, meetings, and team-building activities.
Support various HR-related activities as part of the HR team.
Handle confidential information with professionalism and discretion.
Foster a collaborative and service-oriented work environment.

We are seeking a talented engineer to work on our AI software stack and specifically the AI graph compiler which optimizes AI models to run on our hardware architecture.

we are looking for an AI Platform Engineer to revolutionize engineering productivity and drive AI-powered innovation across the organization. This role is part of our Platform Engineering initiative, focused on enabling engineers and product teams with cutting-edge AI tools, intelligent automation, and scalable AI platforms.
If youre an innovator at heart, passionate about applying AI to solve complex engineering problems, and thrive in an environment that values experimentation, ownership, and entrepreneurship-this role is for you.
Responsibilities
Develop and integrate AI-powered solutions that enhance engineering productivity, automate workflows, and improve developer efficiency across the organization.
Evaluate, prototype, and implement state-of-the-art AI platforms using latest models and frameworks (e.g., ChatGPT, Claude, Gemini, LangGraph, Librechat, AWS Agentcore Bedrock) to address engineering and operational challenges.
Design, build, and maintain AI-driven internal platforms, including knowledge management systems, AI-enhanced coding assistants, intelligent automation tools, and AI-powered chatbots.
Collaborate closely with engineering, DevOps, and product teams to embed AI capabilities into everyday development workflows.
Lead Proof-of-Concept (PoC) initiatives, experimenting with LLMs, generative AI, and automation frameworks to deliver tangible business impact.
Research emerging AI trends, tools, and models, and translate them into practical, production-ready solutions.
Build and operate scalable AI infrastructure that integrates with cloud environments and existing engineering toolchains.
Promote a culture of innovation by empowering teams to adopt AI-driven solutions and sharing knowledge and outcomes across the organization.

We are seeking a highly skilled and experienced Research Engineer to join our team. In this role, you will collaborate on developing innovative solutions from concept to implementation and help drive the next major revolution in the computing landscape.

We are seeking an exceptional software engineer with the imagination to challenge existing designs and the discipline to implement those ideas in production-quality systems.
This role requires a passion for software development, strong system design skills, and deep expertise in coding and debugging. The ideal candidate is also a natural mentor, capable of guiding and developing junior engineers.
This position is for a Principal Software Engineer with extensive experience in databases and systems algorithms for distributed data platforms (databases, replication, HA, data-traversal, deduplication), who can lead the design and implementation of large, complex initiatives end to end.

Key Responsibilities
Own the end-to-end product lifecycle-from market analysis and requirements definition to feature delivery and adoption.
Define and refine product vision, roadmap, and KPIs for network and infrastructure-centric solutions.
Collaborate closely with engineering teams to design scalable, resilient architectures and ensure timely execution.
Lead discovery with customers, partners, and internal stakeholders to identify needs in ISP, carrier, and enterprise environments.
Translate networking and security requirements into clear product specifications and user stories.
Evaluate competitive offerings, industry trends, and emerging technologies in routing, infrastructure, and security.
Work with security teams to integrate and enhance security capabilities, address vulnerabilities, and ensure industry-standard protections.
Drive cross-functional alignment with sales, marketing, support, and operations to ensure product success.
Support customer engagements and represent the product in technical discussions, roadmap reviews, and strategic planning.

This is a high-impact technical leadership role designed for a "star" engineer who can own the entire hardware lifecycle. You will be responsible for stabilizing products from the first prototype through mass production, defining validation strategies, and managing the technical deployment of test stations at global Contract Manufacturers (CMs). You will bridge the gap between R&D, manufacturing, and field reliability to ensure world-class product quality.
Core Responsibilities
Outsourced Station & Vendor Management: Lead the design, setup, and qualification and scale-up of test stations (ICT/JTAG/FT) and debug infrastructure at CM/Outsource partners.
End-to-End Product Stabilization: Own the hardware stabilization process from the first build unit through ramp-up and transition to high-volume production.
Validation & Automation Strategy: Build comprehensive validation plans, review hardware designs for testability (DFT), and integrate automated software tests into production lines.
Advanced System Debugging: Develop hardware debug tools and methodologies to perform deep-dive failure analysis and root cause investigations on systemic issues.
Yield & Data Intelligence: Monitor and optimize yield performance using data analysis techniques to identify trends and failure modes during the NPI lifecycle.
Field & RMA Ownership: Lead technical investigations into field-deployed systems, analyzing diagnostics and telemetry to evaluate RMA claims and provide actionable engineering recommendations.
Cross-Functional Leadership: Collaborate with Mechanical NPI, Test Development, R&D, and manufacturing partners to align test requirements with business needs.
Statistical Process Control (SPC) Implementation: Establish and monitor SPC for critical manufacturing parameters to identify process "drifts" before they result in actual product failures.
Root Cause Corrective Action (RCCA): Lead the formal RCCA process for any manufacturing escapes, ensuring that the "fix" is implemented both in the hardware design and the test software.
Vendor Quality Engineering (VQE): Act as the technical quality lead for CMs and outsourced station builders, defining the "Golden Unit" standards and qualification protocols for all production lines.

We are looking for a Senior AI Engineer to join our Cybersecurity team in Tel Aviv. You will design, build, and productionize LLM-powered applications, multi-agent systems, and MLOps infrastructure that power our company's next-generation cybersecurity capabilities. This is a high-impact, hands-on role at the intersection of applied AI, agentic systems, and network securit
What You'll Do
Design and develop LLM-powered security features and internal AI tools, including RAG pipelines, multi-agent workflows, and prompt-engineered systems tailored for cybersecurity use cases
Architect and operate multi-agent systems in production - including agent orchestration, inter-agent communication, task delegation, and failure handling at scale
Build robust agent monitoring and observability pipelines: tracing agent execution, detecting drift or failure, alerting on anomalous behavior, and maintaining agent reliability SLAs
Build and maintain scalable MLOps infrastructure: model serving, evaluation frameworks, experiment tracking, and CI/CD for ML models
Work with internal datasets (network telemetry, security logs, threat intelligence) to fine-tune and adapt foundation models for domain-specific detection and response tasks
Partner with the Cybersecurity, R&D, and infrastructure teams to define AI-driven security features and deliver them end-to-end
Establish best practices for model observability, safety, and responsible AI deployment within the organization
Stay current with the fast-moving LLM/GenAI and agentic AI ecosystem and evaluate emerging frameworks, models, and tools for adoption.

We are looking for an Algo-Dev Engineer to join one of our research teams. You will be working closely with our researchers, assisting them in achieving their research objective while developing tools and optimizing models in both offline and online environments.
Areas of responsibility include data-handling, deep dive into algo code, design, implementation, and deployment of technologies designed to enable innovative algo-trading projects and support existing and ongoing initiatives.
In this role you will :
Contribute to the continuous evolution and optimization of our internal deep algorithms, bridging the gap between theoretical research and production-ready implementations

We are searching for a Software Engineer to join our digital assets group, a group within tasked with creating solutions for digital assets trading and management. You will be part of a strong and dynamic team of experienced developers and researchers that together develop and maintain all elements of the trading infrastructure, while using cutting edge technologies to overcome our unique trading challenges.
We write almost all of our tools in the Rust programming language for superior performance and safety.
The role focuses on developing and maintaining an in-house platform that manages, controls and monitors our ever-growing set of tools and applications. The tools you will write and maintain have challenging requirements on all fronts - performance, resilience, correctess and more.
In this role you can expect to challenge yourself daily and be creative to solve difficult technical problems in a fast-paced and energetic environment, while exposed to a wide range of technologies and challenging problems which require high availability, high-throughput, and latency-sensitive solutions in a cloud environment.