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As we expand our presence in Israel, we're seeking a visionary Silicon Technical Program Manager to help build our local engineering powerhouse from the ground up. This is a unique opportunity to take on meaningful product ownership in a new site, leading the physical implementation strategy for chips that power the world's largest AI clusters.

As an Technical Program Manager, you will be the key architect of our silicons operational reality. You wont just track timelines - you will help establish our local execution culture and technical standards, owning the cross-functional journey of transforming complex logic into high-performance silicon.

Key Responsibilities
Drive and manage ASIC development and subsystems from concept through to production in collaboration with internal teams and external vendors.
Provide hands-on program management throughout the full development cycle of silicon and firmware, including concept, design, development, fabrication, validation, and production release.
Work closely with the software, hardware, and architecture teams to align with product requirements and ensure all constraints are met.
Lead process improvements across multiple teams and functions to drive better collaboration and efficiency.
Independently manage complex projects with minimal supervision, ensuring timelines and milestones are met.
Deliver high-quality ASIC solutions products while collaborating with product management and architecture teams.

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.

Required Senior SoC Product Engineer, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
Responsibilities
Develop and implement strategies for high volume manufacturing of SoC products, including troubleshooting, ATE test coverage optimization, DPPM reduction, test cost reduction, power and performance assurance, and product data integration and correlation between system, ATE, and SLT.
Drive interactions with wafer fab and OSATs, own and drive checkpoints for key quality metrics.
Drive volume ramp and mass production through test program releases, volume data analytics, lot disposition, extended test time reduction, yield improvement, and RMA handling.
Support setup and maintenance of test, diagnosis, and yield analysis infrastructure, including Return Merchandise Authorization (RMA) support.
Collaborate with cross functional teams across the globe including ATE and SLT Test Engineering, Quality and Reliability (Q&R), Packaging, Supplier Management and Operations to build, deploy, and maintain a high volume manufacturing screening solution.

Required Senior Verification Engineer, Digital Signal Processing, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
In this role, you own the verification strategy for high-speed Physical Layer (PHY). You aren't just looking for RTL bugs, you are looking for system-level failures. You will lead the effort to verify how the digital DSP interacts with the analog front-end.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Lead the verification strategy for high-speed PHYs (112G/224G), defining the test plan for top-level integration and mixed-signal boundaries.
Architect and implement mixed-signal verification flows using Real Number Modeling (RNM) or SystemVerilog-AMS to verify the interaction between Analog Front Ends (AFE) and digital DSP.
Design specialized testbenches to verify the stability, convergence time, and tracking capabilities of adaptive algorithms (e.g., LMS, Zero-Forcing) across Process, Voltage, Temperature (PVT) corners.
Develop tests that simulate real-world data center conditions, including link bring-up, auto-negotiation, and error-recovery protocols.
Act as the primary verification interface for the Signal integrity and Power Integrity (SI/PI) and Analog teams, ensuring that physical channel impairments (loss, crosstalk, reflections) are accurately reflected in the Design Verification (DV) environment.

Required Senior SoC Design Verification Engineer, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
In this role, you will work as part of a Research and Development team. You will build verification components, constrained-random testing, system testing, and drive verification closure. You will verify digital designs, collaborate closely with design and verification engineers on projects, and perform direct verification. You will build constrained-random verification environments that exercise designs through their corner-cases and expose all types of bugs. You will manage the full life-cycle of verification, which can range from verification planning, test execution, to collecting and closing coverage.
Responsibilities
Plan the verification of digital design blocks by fully understanding the design specification and interacting with design engineers to identify important verification scenarios.
Create and enhance constrained-random verification environments using SystemVerilog and UVM, or formally verify designs with SVA and industry leading formal tools.
Identify and write all types of coverage measures for corner-cases.
Debug tests with design engineers to deliver functionally correct design blocks.
Close coverage measures to identify verification holes and to show progress towards tape-out.

Were seeking an exceptional Principal Engineer to shape the technical direction and long-term architecture of our companys AI-first development tools.
Youll report to the companys co-founder and Chief Architect, and drive meaningful change to the whole R&D department, setting standards of how engineering is done well and productively in our company.
In this role, youll lead complex, cross-organization initiatives and drive architectural strategy across multiple teams, while staying close to the code and ensuring decisions are grounded in real-world implementation.
Youll work directly with R&D leadership and all R&D teams to define and build the tools which will make our companys R&D organization 10x faster and better thanks to the new AI capabilities of the world.
We will work in startup mode - close to our users, delivering value in quick iterations, while keeping very high engineering standards.
Responsibilities
Define and drive long-term strategy for AI-first dev tools in collaboration with engineering leadership.
Define, develop, and integrate tools based on the latest AI technologies for the benefit of our companys R&D department.
Lead company-wide technical initiatives, ensuring alignment across multiple teams.
Lead and formalize engineering best practices around performance, reliability, and observability.
Evaluate emerging technologies and identify opportunities to improve scalability, developer productivity, and overall system robustness.

We are looking for a Senior Software Engineer to join our team developing the core technologies behind our SmartNIC platform. Your work will directly impact next-generation AI infrastructure, cloud networking, and high-performance data centers used by customers around the world.

As part of the team, you will contribute to the DOCA SDK (Our DOCA Software Framework), enabling developers to build hardware-accelerated, cloud-native networking and security applications. You will also collaborate on the Linux Foundation's DPDK project, helping deliver industry-leading packet processing performance and scalable networking solutions.

What you'll be doing:

Architect, design, and develop next-generation networking acceleration technologies.

Build and enhance core software components for programmable, high-performance pipeline execution.

Develop software abstractions and infrastructure that expose sophisticated platform capabilities in a scalable and maintainable way.

Optimize execution flow, data movement, and software performance across complex features and workloads.

Work closely with architects, customers, and engineering teams to understand requirements and deliver high-quality solutions.

Collaborate across the software stack, including applications, SDK and runtime layers, drivers, Linux kernel, firmware, and hardware teams.

Drive technical decisions and play a role in crafting the build of performant, maintainable software.

We are seeking a senior, hands-on engineer who combines deep engineering fundamentals with modern toolsets to deliver high-impact, production-grade software.
What You'll Do:
Lead the end-to-end design and implementation of scalable backend microservices, database schemas, and advanced frontend infrastructures.
Drive system architecture decisions, ensuring high performance, security, and reliability across AWS cloud environments.
Write clean, maintainable, and high-performing code across both backend (Python) and frontend (React, TypeScript) stacks.
Utilize AI-assisted development workflows (such as Claude Code) effectively to accelerate delivery while strictly adhering to high standards of code quality, testing, and architecture.
Partner closely with product managers, data analysts, architects, and QA engineers to deliver complex, cross-company initiatives.
Take end-to-end ownership of horizontal group projects and mentor team members on best engineering practices.

The Research and Development team is seeking a leading Applied Innovation Architect.
The team focuses on providing technological solutions to core challenges
through technological research and driving applied innovation to bridge the gap
between core needs and technological opportunities.

We're seeking a Staff engineer - AI Builder to lead the design and implementation of AI-native technical frameworks that redefine how large-scale systems are built, extended, and evolved.

This role is deeply technical and architecture-driven, focused on designing modular, extensible, and AI-first system foundations that enable scalable development with AI as a core engineering collaborator.

You will work across the full stack, building infrastructure where AI actively generates, extends, and maintains software components as part of the native development flow.

This is not about incremental AI integration - this is about architecting the frameworks that let AI scale software engineering 10x faster and smarter.

Responsibilities
Architect and lead the development of AI-native system frameworks that emphasize modularity, extensibility, and adaptive scalability.
Build platform primitives that enable dynamic AI-driven module and extension generation.
Design and implement developer workflows optimized for AI-assisted software development, embedding AI collaboration as a first-class design principle.
Define and codify AI-native engineering practices, patterns, and guidelines to elevate our software development lifecycle.
Establish and champion best practices for AI-assisted engineering across system design, code quality, testing, observability, and operational scalability.
Drive hands-on prototyping and iterative delivery across frontend, backend, and orchestration layers.
Provide technical leadership and mentorship, fostering an AI-first engineering culture across teams.
Partner closely with Product, AI, and Engineering teams to align system evolution with AI-native goals.

As a Principal Security Researcher , you will act as an architect for the Autonomous SOC, focusing directly on Cortex AgentiX. You will design and build intelligent, automated investigation and remediation agents that empower thousands of customers to secure their environments at scale.
We are looking for a practitioner who combines deep hands-on expertise investigating threats and protecting organizations with a pragmatic approach to solving complex security challenges.
Key Responsibilities
Develop in-product specialized agents to accelerate detection, respond to real-time threats, prioritize, and mitigate risks.
Establish guardrails, continuous evaluation metrics, and deterministic controls for agentic AI, ensuring complex multi-step plans execute reliably.
Drive the complete product development lifecycle, encompassing definition, design, implementation, and testing phases.
Partner cross-functionally with product management, engineering, and research teams.

We are looking for a Principal MLOps Engineer with a deep focus on ML Platforms and Infrastructure to join our Data & AI group at Cortex Research. Our team is responsible for designing, building, and scaling the foundational MLOps and LLMOps platforms that power both our Data Scientists and Security Researchers. You will architect the high-performance core infrastructure that enables these roles to build, train, and deploy advanced AI systems-ranging from optimized Small Language Models (SLMs) to complex agentic workflows and RAG systems. If you are passionate about building scalable compute platforms and automating the full ML lifecycle to solve complex data and security challenges, we want to hear from you.
Key Responsibilities
Scale Distributed Training: Design and optimize infrastructure for training and fine-tuning LLMs and SLMs, leveraging distributed GPU workloads, efficient clustering, and compute optimization.
Automate the ML Lifecycle: Architect robust, automated pipelines for continuous training (CT) and deployment (CD) of models, ensuring a seamless flow from raw data collection to production environments.
Build Model Infrastructure: Own the serving architecture for LLMs/SLMs, balancing latency, throughput, and GPU utilization under production traffic.
Implement Advanced Monitoring: Establish comprehensive observability systems to monitor live model performance, data drift, and computational metrics, feeding insights back into the automated training loops for continuous improvement.
Collaborative Architecture: Partner closely with data scientists and security researchers to productize complex model architectures and streamline their workflows, while collaborating with our DevOps team to integrate with core cloud infrastructure.

As a Senior Principal DevOps Engineer, you will serve as a visionary technical leader within the Cortex Cloud DevOps group. You will define the technical strategy and architecture that ensures our massive-scale production services remain highly reliable, exceptionally secure, and performant. You will pioneer the integration of AI-driven capabilities into our daily operations, establishing elite engineering standards and fundamentally transforming the workflows of hundreds of developers through autonomous agents and intelligent procedures.
Your Career
Architectural Vision & Scalability: Design and scale massive, resilient distributed systems and global Kubernetes infrastructure, implementing robust observability and monitoring frameworks.
AI-Driven Transformation: Revolutionize the SDLC by integrating Generative AI, autonomous agents, and LLM-powered workflows into CI/CD and self-healing systems to accelerate developer velocity.
Technical Leadership & IaC: Define architectural standards, lead GitOps/IaC (FluxCD/Terraform) strategies, and mentor Senior/Staff engineers across the R&D organization.
Developer Experience & Efficiency: Build and champion AI-powered platforms that automate troubleshooting and eliminate friction. Partner directly with Engineering Directors, Principal Architects, and Product Management to align infrastructure initiatives with business goals, optimizing for scale, high availability, and multi-million-dollar cost-efficiencies.
Security & Compliance: Embed "Security by Design" principles into the platform architecture to ensure platform integrity without sacrificing delivery speed.

Principal Security Researcher (Cortex - AgentiX)
Job Summary:
As a Principal Security Researcher , you will act as an architect for the Autonomous SOC, focusing directly on Cortex AgentiX. You will design and build intelligent, automated investigation and remediation agents that empower thousands of customers to secure their environments at scale.
We are looking for a practitioner who combines deep hands-on expertise investigating threats and protecting organizations with a pragmatic approach to solving complex security challenges.
Key Responsibilities:
Develop in-product specialized agents to accelerate detection, respond to real-time threats, prioritize, and mitigate risks.
Establish guardrails, continuous evaluation metrics, and deterministic controls for agentic AI, ensuring complex multi-step plans execute reliably.
Drive the complete product development lifecycle, encompassing definition, design, implementation, and testing phases.
Partner cross-functionally with product management, engineering, and research teams.

Sr. Engineer, Falcon Secure Access (Hybrid, ISR)
About the Role:
The Falcon Secure Access (FSA) team is expanding. As a Senior Software Engineer on our team, you will architect and deliver a next-generation secure access platform that converges Zero Trust Network Access with browser-native security.
You'll build the core systems that enable users to seamlessly and securely access internal sites, private applications, and cloud resources directly from the browser - without legacy VPNs or remote desktops - while enforcing real-time protection against zero-day exploits, phishing, data exfiltration, and unauthorized access.
This role sits at the intersection of network engineering and browser security: you'll design and implement advanced proxy communication, secure tunneling, and identity-aware routing - all operating at the browser's core to deliver holistic protection including DLP, insider threat detection, SaaS security, and continuous zero-trust verification.
What You'll Do:
Design and build ZTNA infrastructure - implement zero-trust access policies, secure tunneling, and identity-aware network routing that replaces traditional VPN architectures
Develop advanced networking solutions - build and optimize proxy communication layers, WebSocket-based transport, and encrypted client-to-server channels that handle millions of concurrent connections
Architect high-scale backend systems - design distributed microservices for policy enforcement, real-time threat detection, and access control at scale using Node.js / TypeScript
Implement secure client-server communication - design highly secured agent-to-cloud architectures with certificate pinning, mutual TLS, and encrypted tunneling protocols
Build browser-native security components - develop browser extensions and agents (Chrome, Edge, Firefox etc.) that enforce data protection, prevent data leakage, and provide granular visibility and control
Own features end-to-end - from design through delivery, including deployment and monitoring
Influence architecture and roadmap - play a key role in architectural decisions, building toward an efficient distributed zero-trust architecture
Research and develop - drive new initiatives and POCs in zero-trust access domains and browser security
Collaborate cross-functionally - work with security researchers, product, and platform teams across multiple locations to solve complex problems