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As we expand our presence in Israel, we're seeking a talented Principal Emulation Engineer to help build our local engineering powerhouse from the ground up. This is an exciting opportunity to take on meaningful ownership in a new site, implementing the emulation strategy for chips that power the world's largest AI clusters.

As an Principal Emulation Engineer, you will be a core technical driver of our Israel R&D center, working at the intersection of hardware and software to ensure our silicon meets extreme quality and performance targets. You will execute end-to-end emulation flows, bridge the gap between RTL and functional validation, and partner with cross-functional teams to enable seamless hardware-software integration. If you thrive on solving complex technical challenges and want to play a key role in validating cutting-edge AI infrastructure connectivity solutions, this is your opportunity.

Key Responsibilities

Emulation Flow Execution & Implementation
Execute end-to-end emulation flow from high-level model generation and RTL synthesis to complex system-level testing and silicon-accurate debugging
Work directly with next-generation emulation platforms (Zebu, Palladium, or Veloce) to implement cutting-edge methodologies
Maintain and evolve emulation flows to reduce compile times and increase execution speed, directly impacting time-to-market

System-Level Debug & Validation
Drive initial model bring-up process in high-stakes environment, identifying and resolving complex bugs
Ensure rapid cycles from RTL to functional stability through systematic debug approaches
Own technical blocks and drive them to completion independently

Cross-Functional Collaboration
Partner with Firmware, Software, and Validation teams to debug complex system-level scenarios
Ensure seamless hardware-software integration for AI infrastructure connectivity
Collaborate with Design and Verification teams to optimize emulation strategies

Required Senior Emulation 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.
Responsibilities
Plan and execute the verification of digital design blocks by understanding specifications and working with design engineers to define key verification scenarios.
Develop, execute, and debug full-chip/system on a chip (SoC) tests on emulation platforms.
Collaborate with design engineers to debug tests and ensure functional correctness of design blocks.
Define and implement various coverage measures to capture stimulus and corner-case scenarios. Work with software and post-silicon validation teams to reproduce failures on emulation.
Drive coverage analysis to identify verification gaps and demonstrate progress towards tape-out. Explore new verification and emulation methodologies and implement them.

we are looking for an experienced Electronics Engineer to join our growing R&D Hardware team and lead and deliver Hardware projects.
A day in the life and how youll make an impact:
Architect and develop electrical modules from concept through production, including PCB design for new systems and continuous improvement of existing ones.
Bring new components and sensors into product line, working across power supply, communication protocols (I2C, Ethernet, UART), and supporting modules
Serve as the go-to expert for diagnosing and resolving complex electrical faults - you set the standard for root-cause problem-solving.
Partner closely with systems engineers, mechanical engineers, and software teams to shape next-generation features and products from the ground up.
Manage subcontractor relationships for end-to-end module delivery, ensuring quality and timelines stay on track.

We are looking for a Seinor Logic Design Engineer to join the ride as we spearhead the next revolution in electronics!.

Our Logic Design team builds the on-chip monitoring IP at the heart of the product - digital blocks that ship inside some of the most advanced chips in the industry. Were growing the team and looking for a Logic Design Engineer to take ownership of that logic, working alongside circuit, verification, physical design, EDA, and AE engineers. A strong fit if you enjoy hard digital design problems in a collaborative, technically demanding environment.

Responsibilities
Define and implement digital logic micro-architecture - in plain English, diagrams, and SystemVerilog.
Verify design quality against industry standards using static analysis tools (Lint, CDC, RDC).
Work with Circuit Engineers to turn low-level circuit designs into the well-behaved, insightful agents at the core of the solution.
Work with Verification Engineers to simulate and debug the digital logic.
Work with Physical Design Engineers to ensure correct implementation of our special circuits.

Review micro-architecture specifications
Implement Verification environment UVM based
Collaborate with Design engineers to resolve bugs and achieve coverage closure
Work with the firmware/Lab teams to verify chip flows
Perform debug, root-cause analysis, and post-silicon validation in the lab

We are looking for a Senior Product IC Q&R Engineer to join the team and lead the Q&R activities for our Nitro and Graviton product lines which enable the success of AWS.
As a senior product IC Quality and Reliability Engineer, you will play a crucial role in ensuring Annapurna Labs' semiconductor products meet customer demands. Your responsibilities will include establishing Design-for-Quality and Reliability (DFQR) during product design, developing reliability validation (RV) plans and DOEs, conducting product qualification and RV, support debug of qualification failures, and executing reliability modeling, analysis, and reporting.
In this role you will have end-to-end exposure to Annapurna's products, from semiconductor production flows and semiconductor testing methodolorgies to the operation of these products in the field.

Key job responsibilities
You will work with the design team to implement DFQR (design for quality and reliability) and DFRT (design for reliability testing) requirements for Annapurna Labs products.
You will evaluate Q&R risks, prepare reliability validation plans to mitigate them and work with multiple stakeholders to execute the reliability validation for Annapurna Labs products.
You will support Annapurna Labs production by qualifying new technologies, vendors and materials which enables Annapurna Labs leadership in AWS datacenters.

Our CTO Office AI Research Group is looking for a motivated advanced BSc student to join our team as a Data Preprocessing Engineer. You will play a foundational role in building the data infrastructure that powers our AI research - working directly with large-scale, real-world datasets at the intersection of machine learning and semiconductor chip design.
job requisition id
2604499
This is a hands-on, high-impact student position for someone who enjoys getting into the details of messy data and turning it into clean, structured, and model-ready assets.
What You Can Expect:
Collect, clean, normalize, and sanitize large-scale chip design datasets from diverse sources and formats
Build and maintain scripts and pipelines to automate repetitive data extraction and transformation tasks
Parse and process a wide variety of file formats (JSON, CSV, Parquet, logs, and domain-specific EDA formats)
Navigate complex codebases and directory structures to locate, understand, and extract relevant data
Work with structured and semi-structured data using SQL and Python-based tooling
Collaborate with researchers and engineers to understand data requirements and deliver model-ready datasets
Document data sources, transformation logic, and dataset versions in shared repositories.

The Labs Security Team secures the firmware at the foundation of our custom silicon. We work on Graviton processors and the Nitro System - hardware that runs a substantial share of the world's cloud workloads - in close collaboration with the silicon architects and firmware developers who design it. Our engineers operate at the lowest levels of the stack: secure boot chains, hardware root of trust, attestation, cryptographic protocol design, and the boundaries between trust domains within the system.

Key job responsibilities
As a Security Engineer, you will threat model new silicon and firmware architectures, conduct low-level penetration testing against privileged and externally reachable interfaces, review designs and code across multiple firmware components, and build the fuzzing and analysis tooling that makes this work repeatable at silicon scale. You will also help raise the security bar across the wider organization through direct engagement with firmware and hardware teams. We are looking for engineers fluent in C and ARM assembly, with real depth in secure boot, applied cryptography, or embedded exploitation, and the technical credibility to hold a position in a room full of people who designed the system you are testing.

Join the Cortex team as a Principal Backend Engineer and own the backend strategy for our integrated detection and response engine. You will be responsible for transforming raw endpoint, network, and cloud data into actionable intelligence, using AI-driven techniques to dramatically reduce false positives and focus our defense on what truly matters: stopping the worlds most critical threats.
Key Responsibilities
backed by the massive scale and resources of a global leader, to architect and scale a world-class data infrastructure capable of processing billions of events per second in real-time.
Integrate state-of-the-art AI technologies to transform raw telemetry from the industry's leading cyber products into high-fidelity, actionable intelligence.
Own the end-to-end software development life cycle, from conceptualizing complex distributed systems to deploying high-performance code, building AI-augmented systems that are fast, maintainable, and resilient.

The Exposure Management group is one of our company's newest and fastest-growing organizations, built around a vision to reinvent how companies manage cyber risk. We bring together threat intelligence, AI, cloud-scale platforms, attack surface management, exposure validation, and automated remediation into a unified security platform used by enterprises worldwide.
Joining our team means working on cutting-edge cybersecurity products, solving complex technical challenges at scale, and helping define how organizations operationalize Continuous Threat Exposure Management (CTEM). You'll collaborate with world-class engineers, researchers, product leaders, and security experts to build solutions that transform security intelligence into meaningful action.
This is a unique opportunity to join a high-growth organization where you'll have the agility, ownership, and impact of a startup, backed by the scale, resources, and global reach of our company. Together, we're building the next generation of cybersecurity solutions that help organizations stay ahead of emerging threats.
We're seeking a Senior Full Stack Engineer to build core features for our cybersecurity platform. You'll work with a small engineering team, to deliver features that directly impact user security and experience.
Key Responsibilities
What You'll Do
Lead end-to-end feature development
Architect scalable solutions for our React/NestJS platform
Collaborate with Product, Design, and Security teams on user-facing features
Optimize application performance and security for enterprise customers
Builג scalable systems to onboard and serve a growing customer base.

We are seeking a Staff Software Engineer to serve as a technical anchor for our Identity Authentication engineering team. Driving the modernization of core, mission-critical authentication domains across our primary product, delivering massive impact at scale. You will drive the architectural design, technical roadmap, and implementation of high-throughput, mission-critical SaaS services using AWS architecture, AWS CDK, and .NET. In addition to technical execution, you will mentor engineers, guide design decisions across teams, and ensure our systems satisfy demanding scalability, security, and performance standards (NFRs).
Your Impact:
Architectural Leadership: Drive end-to-end design and system architecture for enterprise-grade Identity & User Management cloud services.
Technical Strategy: Partner with Product Managers and Security Architects to translate complex identity and cybersecurity requirements into scalable software architecture.
Engineering Standards: Elevate technical excellence across the team by setting standards for code quality, resilience, telemetry, and automated testing.
Mentorship & Growth: Technical coaching and mentoring for mid-level and senior engineers to foster team growth and best practices.
Innovation & Problem Solving: Solve complex system bottlenecks, evaluate emerging tech stacks, and optimize AWS infrastructure costs and performance.

We are seeking a Staff Software Engineer to serve as a technical anchor for our Identity Authentication engineering team. Driving the modernization of core, mission-critical authentication domains across our primary product, delivering massive impact at scale. You will drive the architectural design, technical roadmap, and implementation of high-throughput, mission-critical SaaS services using AWS architecture, AWS CDK, and .NET. In addition to technical execution, you will mentor engineers, guide design decisions across teams, and ensure our systems satisfy demanding scalability, security, and performance standards (NFRs).
Your Impact:
Architectural Leadership: Drive end-to-end design and system architecture for enterprise-grade Identity & User Management cloud services.
Technical Strategy: Partner with Product Managers and Security Architects to translate complex identity and cybersecurity requirements into scalable software architecture.
Engineering Standards: Elevate technical excellence across the team by setting standards for code quality, resilience, telemetry, and automated testing.
Mentorship & Growth: Technical coaching and mentoring for mid-level and senior engineers to foster team growth and best practices.
Innovation & Problem Solving: Solve complex system bottlenecks, evaluate emerging tech stacks, and optimize AWS infrastructure costs and performance.

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.

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.

We are seeking an agile, hands-on R&D Lead who excels at rapid learning and making smart, pragmatic decisions to drive our core data engineering squad in Tel Aviv. We care less about years spent in formal management or having a decades-long resume, and much more about your ability to take extreme ownership, learn new paradigms on the fly, and keep the team moving forward.
In this role, you will help architect, write, and deploy the Python-based infrastructure that processes millions of records daily and serves them at sub-second latency to autonomous AI systems. You will guide the design of high-scale data pipelines, integrate semantic search paradigms, and build out our agentic connectivity layer. If you are a proactive decision-maker who thrives on optimizing complex systems and wants to build the infrastructure that LLMs rely on to understand the real world, this is your next role.
Key responsibilities:
Execution & Decisive Leadership: Lead the technical delivery by setting the pace and making pragmatic architectural choices that keep the team moving forward. You prioritize shipping and iterating over analysis paralysis.
Hands-On Development (Python): Roll up your sleeves and remain technical. Write clean, concurrent, and scalable Python code to handle data ingestion, transformation, and serving pipelines.
Continuous Learning & Tech Agility: Work across a polyglot environment. You dont need to know every tool on day one, but you must be eager to rapidly evaluate, learn, and adopt the optimal databases, message brokers, and execution frameworks to manage technical debt.
Agentic Infrastructure & MCP: Deploy systems that allow autonomous agents to seamlessly query our datasets. You will help build and scale our Model Context Protocol (MCP) servers, translating LLM intents into highly optimized database queries.
High-Scale Data Pipelines: Oversee an end-to-end data architecture capable of supporting continuous ingestion, error cleansing, and near-real-time refreshing of a 1B+ record database while enforcing GDPR and CCPA compliance.
Search & Retrieval Integration: Design and optimize advanced search capabilities, leveraging vector databases, embeddings, and hybrid search techniques to ensure absolute precision when AI models query our data.