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Idira is looking for a Senior AI Software Engineer to join our Generative AI foundation team. We build AI agents and shared infrastructure that power GenAI capabilities across the company, enabling CyberArks product lines to adopt agentic workflows safely, reliably, and at scale. In this role, youll be involved in the full software lifecycle - from fast-moving prototypes and POCs to production-grade, observable systems. Youll collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence. Youll work hands-on with leading LLMs and the modern agentic ecosystem, leveraging a wide range of AWS services. Youll use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve our solutions through solid design, flexible implementation, strong telemetry and evaluation, and production feedback loops.
Your Impact:
Design, develop, and deploy scalable AI agents and shared infrastructure for GenAI capabilities.
Manage the full software development lifecycle, from prototyping to production-grade, observable systems.
Collaborate with product managers, researchers, and engineers to translate ideas into robust and scalable services.
Work hands-on with large language models (LLMs), agentic frameworks, and a broad range of AWS services.
Implement strong telemetry, evaluation metrics, and feedback loops to continuously improve AI solutions.
Champion operational excellence through pragmatic experimentation, iteration, and solid design.

Cortex is expanding. We combine the high energy of a startup with the massive resources of the worlds cybersecurity leader. We aren't just processing data; we are managing hundreds of petabytes of it, waiting Cortex for you to apply your "magic" to invent the next generation of threat detection. As a Principal Software Development Engineer, you will be a cornerstone of the Cortex Detection Backend team. This role is designed for a technical powerhouse who thrives in the "sweet spot" between high-level architectural strategy and hands-on execution. You will influence our product roadmap, mentor elite engineers, and build systems that protect thousands of the world's most sensitive organizations.
Key Responsibilities
Architect & Innovate: Design and build a new set of capabilities focused on Data Analytics and Threat Detection. You will solve cloud security challenges that have never been tackled before.
Scale Without Limits: Ensure our microservices architecture remains robust and resilient under massive loads, processing millions of events per second.
Technical Leadership: Act as a technical sounding board and mentor. You will guide design discussions, conduct deep-dive research, and foster a culture of engineering excellence.
Strategic Collaboration: Work closely with Product Management, R&D leaders, and Security Researchers to define requirements and turn ambiguous problems into elegant technical solutions.
Drive Execution: Take ownership of the software development life cycle, ensuring high-velocity delivery in a fast-paced Agile environment.

We are looking for an experienced Front-End Team Leader to lead the design and development of the companys user-facing software systems. This is a unique opportunity to combine hands-on technical leadership with people leadership, working closely with product, UX, and backend teams to build sophisticated, high-impact user interfaces for cutting-edge quantum computing platforms.
Join us in this exciting journey to redefine the future of quantum computing.
Responsibilities:
Lead and mentor a global team of front-end engineers, fostering technical excellence and growth.
Own the front-end architecture and technical vision of complex web applications.
Design and implement scalable, high-performance, and maintainable UI solutions.
Collaborate closely with backend, product, UX, and system engineers to deliver end-to-end features which are perfectly adapted to the needs of the Quantum Computing audience.
Drive best practices in code quality, testing, performance, and accessibility.
Take part in hands-on development alongside the team.
Lead design reviews, code reviews, and technical decision-making.
Execute in a fast-paced, evolving environment with high technical complexity.

In enterprise cybersecurity, data is king - but only if you can ingest it, orchestrate it, and act on it instantly.
As a visionary, technically sharp Senior Product Management Leader, you will own the foundational engine of the Cortex platform. In this high-impact role, you will lead a dedicated team consisting of a Product Manager (PM) and a Technical Marketing Engineer (TME) to build a seamless, world-class ecosystem of 1st and 3rd-party integrations, out-of-the-box security content (playbooks, packs), and a thriving Cortex Marketplace. You will be driving the strategy for how our customers onboard, connect their entire security stack, and automate their defenses at scale.
Your Impact
Lead & Mentor: Manage and scale a high-impact team, providing strategic product direction to your Product Manager and technical/go-to-market guidance to your Technical Marketing Engineer.
Own the Cortex Ecosystem: Define the vision and roadmap for our 1st and 3rd-party connector strategy, ensuring flawless data ingestion, integrity, and depth across the platform.
Supercharge Automation & Content: Drive the lifecycle of high-value platform content-including automated playbooks, integration packs, and streamlined onboarding workflows that turn complex security data into immediate value.
Scale the Marketplace: Treat our Marketplace as a strategic product lever, maximizing the velocity, quality, and adoption of community and partner integrations.
Drive Platform-Wide Synergy: Act as a central bridge, collaborating closely with Engineering, Security Research, and peer PMs across XSIAM and Cortex modules (XDR, Cortex Cloud, Exposure Management) to deliver a unified, elite security experience.

We are establishing a new role focused on bridging AI capabilities with our internal DevOps platform. You will build AI-powered tools and services that run on top of the DevOps platform developed by the infrastructure team. This role combines hands-on DevOps/platform engineering work with close collaboration with software development teams, enabling them to build, deploy, and operate AI solutions efficiently, securely, and in alignment with organizational standards. You will act as a technical enabler, helping teams bring AI-driven applications into production while ensuring best practices across architecture, compliance, DevSecOps, FinOps, and AI governance. The role also includes direct contributions to the platform itself.
Your Impact
Enhance DevOps platform capabilities to support AI-based tools and workloads.
Work closely with development teams to enable and support AI application delivery end-to-end.
Assist in designing architecture and production-grade implementation of AI systems.
Lead and enforce DevSecOps practices, compliance requirements, and governance standards for AI solutions.
Develop platform components and internal services as part of the AI infrastructure layer.
Support production readiness, monitoring, performance, reliability, and cost optimization (FinOps).
Serve as a technical interface between multiple engineering teams.
Participate in future on-call rotations.

We are looking for a hands-on FPGA Design Engineer, specialized in high-performance digital design and FPGA-based system development, as part of the Platform team.
This role involves ownership of FPGA interfaces and connectivity logic, including high-speed communication blocks, platform integration, and close collaboration with embedded and hardware teams. You will work on complex FPGA/SoC platforms, enabling robust and scalable solutions for quantum control systems.
Responsibilities:
Own the design and implementation of FPGA-based interfaces such as PCIe, I2C, SPI, and high-speed GT communication.
Develop and integrate FPGA logic on advanced platforms, including Xilinx UltraScale+ and Versal.
Collaborate closely with embedded, hardware, and system teams to ensure seamless HW/SW/FPGA integration.
Drive FPGA bring-up, debugging, and validation at both lab and system levels.
Participate in system architecture definition and cross-team design decisions.

We are looking for a highly experienced a hands-on Compiler Engineer who embodies ambition and positivity.
Someone who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfill the evolving needs of our expanding customer base.
Responsibilities:
Develop our compiler from a proprietary quantum language to a proprietary processor tailored to realize and accelerate quantum computing.
Take on complex optimization challenges at the core of our unique compiler, focusing on real-time applications, hybrid quantum/classical algorithms, and parallel processing.
Conduct rigorous testing, debugging, and profiling to ensure the performance and correctness of compiler outputs.
Hands-on development and debugging of software to optimize the utilization of limited hardware resources, enabling the scaling of quantum computing systems and improving quantum algorithm performance on our cutting-edge quantum orchestration platform.
Collaborate closely with hardware, software and architecture teams to ensure seamless software-hardware integration, directly enhancing system capabilities and performance.

We are seeking a highly experienced Microsoft 365 Cloud Security Engineer to own the administration, configuration, and security of our enterprise Microsoft 365 tenant(s). The ideal candidate has proven hands-on expertise managing Microsoft 365 at scale, including Intune, Exchange Online, SharePoint/OneDrive, Teams, Entra ID, Defender, and related integrations
You will play a key role in ensuring availability, governance, identity and access control, endpoint compliance, and modern security posture across the entire Microsoft cloud ecosystem, with close collaboration across IT, Security, and business stakeholders.
Key Responsibilities:
Microsoft 365 Tenant Administration:
Administer and maintain enterprise-scale M365 tenants, including configuration, governance, and operational support.
Oversee service health, usage reporting, licensing, and user lifecycle management.
Maintain documentation of configurations, workflows, and operational procedures.
Microsoft Intune / Endpoint Management (Full Scope):
Own all aspects of Intune administration, including:
Device enrolment (Windows, macOS, iOS/iPadOS, Android)
Configuration profiles, compliance policies, and security baselines
Autopilot provisioning, device naming policies, and lifecycle
Conditional Access integration with device compliance
Endpoint security policies (AV, firewall, ASR rules, BitLocker, etc.)
Identity & Access Management (Entra ID / SSO):
Manage and secure Microsoft Entra ID (Azure AD) for identity, authentication, and access governance.
Configure and maintain SSO integrations with SaaS applications using SAML/OAuth/OIDC.
Implement and optimize:
Conditional Access policies
MFA enforcement and authentication methods policy
Privileged Identity Management
Identity Protection policies (risk-based controls)
Security & Threat Protection:
Deploy and manage Microsoft Defender stack relevant to the organization
Integrate and manage endpoint security posture with non-Microsoft EDR platforms, such as Sentinel One/CrowdStrike
Collaborate with Security teams to implement detection and response workflows, ensure coverage, and align with organizational policy.
Messaging & Collaboration
Exchange Online:
Administer Exchange Online policies and configurations
Implement email security best practices and support incident response when needed.
Microsoft Teams:
Administer Teams policies and governance - Teams lifecycle policy, app permissions, meeting policies; External access and guest collaboration settings.

We are hiring an AI Researcher to join the research team building the next generation of AI-native security systems. You will work alongside security and threat researchers to build large-scale AI agents that reason over software, code, endpoint activity, and security signals to detect malicious behavior, uncover vulnerabilities, assess risk, and make autonomous security decisions in real-world production environments. We are entering the Mythos era - where attackers operate at machine speed using autonomous systems and AI-generated software, and defenders must evolve the same way. We use state-of-the-art frontier models, including access to Mythos, to build reliable AI-native security systems at global scale. You will help design the evaluations, harnesses, and reliability infrastructure that make autonomous agents dependable under real customer load, while collaborating with leading AI organizations including Anthropic on initiatives such as Glasswing. This is an opportunity to work at the frontier of AI, autonomous systems, and cybersecurity while helping define how the next generation of security systems will operate.
Key Responsibilities
Build AI agents and autonomous security systems that reason over software, code, endpoint activity, MCPs, and security signals to detect malicious behavior, uncover vulnerabilities, and assess risk at production scale.
Develop systems, tooling, and infrastructure that enable agents to autonomously investigate threats, hunt for malware in massive datasets, and operate reliably in complex security environments.
Design and run experiments to evaluate frontier-model and agent capabilities in realistic adversarial scenarios, including benchmark creation, large-scale datasets, automated evaluations, and human-in-the-loop review systems.
Build the evaluation harnesses, observability systems, and reliability infrastructure required to make autonomous agents accurate, scalable, and dependable under real customer load.
Engineer for scale and performance across large distributed AI systems, including inference optimization, orchestration, batching, caching, cost controls, and graceful degradation under high demand.
Continuously evaluate emerging models, agent architectures, prompting techniques, and research directions to ensure our systems remain at the frontier of AI-native cybersecurity.
Rapidly prototype and test new approaches across reasoning, autonomy, evaluations, and security workflows as the AI landscape evolves.
Partner closely with threat and security researchers to extract domain expertise, translate analyst reasoning into AI workflows, and enable new forms of automation and autonomous investigation.
Collaborate with leading AI and security researchers to shape the future of AI-native cybersecurity as the industry transitions into the Mythos era.
Senior candidates will help define research direction, shape technical strategy, identify high-leverage problems, and influence how autonomous AI systems are deployed across the organization.

We are seeking an exceptional architect to join our architecture team and shape the future of quantum control. We have a unique opportunity to shape the architecture of next-generation quantum computers toward utility-scale quantum computing.
In this role, you will define the logic architecture of the devices that are the heart of the next-generation quantum control platform. Designing the devices, including the pulse processor and their interfaces, requires a deep understanding of quantum computing, the system tradeoffs, and product requirements.
In this role, youll collaborate with Product and with the other members of the architecture team to define the requirements and the roles and responsibilities of each component. Youll identify system-level tradeoffs and identify solution alternatives. Youll work closely with the logic design and compiler teams to define a winning architecture.
Responsibilities: 
Architecture for the next-generation quantum control platform devices, ASIC, and logic components.
Define system-level architecture and features, providing detailed specifications to the various R&D teams.
Collaborate with the product and research teams to transform high-level requirements into architecture and spec definitions, and present tradeoffs.
Work with partners and vendors on requirements, integration architecture and joint development to optimize the product capabilities.

we are seeking a Senior Threat Hunting Researcher for Unit 42s Managed Services group, a senior hands-on role combining threat hunting, detection engineering, and incident investigation experience. You will proactively hunt across diverse telemetry to identify suspicious behaviors and emerging threats that evade traditional security. A key part of the role is translating low-fidelity signals into high-fidelity hunting logic and reusable detection opportunities. You will collaborate with multiple teams to share findings, explain coverage, and support response and improvement efforts.
Key Responsibilities
Proactively hunt for suspicious behaviors, malware activity, threat actor tradecraft, and emerging campaign patterns across large-scale customer telemetry.
Build, validate, and tune hunting and detection logic across multiple data sources and security products.
Translate low-fidelity signals, alerts, incidents, and coverage gaps into high-fidelity hunting content and reusable detection opportunities.
Investigate suspicious activity using available telemetry and clearly communicate findings, limitations, and recommended next steps.
Improve detection quality by reducing false positives, increasing signal fidelity, and identifying meaningful coverage gaps.
Collaborate with MDR, Incident Response, Threat Intelligence, Product, and Engineering to improve protection and operational scalability.
Deliver clear, evidence-based reports and technical findings that help customers understand risk and improve defenses.

We are seeking a Principal/Senior Security Researcher to lead proactive research into emerging abuse patterns across agentic and modern endpoint environments. This includes browser extensions, SaaS- and web-delivered code, autonomous agents, MCPs and related tooling, and other forms of non-binary software that do not fit neatly into a traditional malware-focused model.
In this role, you will define and drive independent research initiatives rather than simply respond to predefined queues. You will conduct deep technical investigations, including reverse engineering, telemetry analysis, controlled experimentation, and data-driven validation, and translate your findings into actionable outcomes for the product. These may include detection concepts with clear success criteria, recommendations for new telemetry or platform behavior, and concise technical narratives for engineering, product, executive, or customer-facing audiences.
You will act as a senior research partner to engineering and product leadership, helping shape priorities around what to instrument, what to build, what to retire, and how to reason about ambiguous signals in production environments. The role requires strong technical judgment, strategic thinking, and the ability to turn complex research into evidence-backed product impact.
Key Responsibilities
Define and execute proactive research programs: novel attack surfaces (e.g., browser extensions, SaaS-delivered code, autonomous agents, MCP/tooling ecosystems), long-horizon threats, and systemic gaps in visibility or detection.
Perform deep technical analysis beyond routine triage: reverse engineering, behavioral modeling, data-driven hypothesis testing, and rigorous validation of findings at scale.
Set direction for how research translates into product and detection: prioritization frameworks, threat models, evaluation criteria, and standards of evidence for shipping high-impact changes.
Partner with senior engineering and product stakeholders to shape roadmap, telemetry, and architecture informed by research; influence design tradeoffs before issues appear in the field.
Lead complex, ambiguous investigations end-to-end and synthesize conclusions for executive and customer-facing audiences when stakes are high.
Represent the team through high-quality technical artifacts (e.g., in-depth publications, conference-quality work, or equivalent internal briefings) that establish external and internal credibility.

As a Principal Data Scientist, you will apply your expertise in data analysis, machine learning, and cybersecurity to build new AI-based defense techniques against cyber-threats. You will be a driving force in designing and developing groundbreaking, ML-based security solutions that block attacks even before they begin, shaping the future of cybersecurity and impacting millions of customers.
Key Responsibilities
Contribute to a diverse and highly skilled research group that pioneers state-of-the-art technologies to protect our customers.
Utilize analytical rigor, statistical methods, programming, and data modeling to analyze vast amounts of data, applying your cybersecurity knowledge to guide our focus and approach.
Decompose complex problems scientifically and provide actionable insights and recommendations to both technical and non-technical stakeholders.
Lead and collaborate on end-to-end projects within the team and across engineering and product teams, from initial ideation to final deployment.

We are looking for an experienced Technical Program Manager to drive the cross organization execution of technical programs. The successful candidate will thrive in a fast-paced environment where energy, drive, and a collaborative approach are key to success.
Your Impact
Lead and orchestrate enterprise-wide deployment of Information Security and Product Security programs, focusing heavily on core platform capabilities, architectural dependencies, and shared services.
Ensure predictable, on-time execution of strategic programs spanning multiple R&D groups. Build the governance mechanisms, escalation paths, and portfolio-level visibility needed for effective cross-group delivery.
Partner with multiple Product and Engineering stakeholders to identify, map, and manage complex cross-platform dependencies. Drive effective prioritization and maintain clear, actionable team backlogs.
Design, implement, and optimize end-to-end operational processes to eliminate friction, scale engineering efficiency, and establish best-in-class release lifecycles, metrics, and quality standards.
Own the overarching communication strategy for your program space. Author and deliver transparent, insightful, and concise status reporting, tailored appropriately for engineering teams up to executive-level stakeholders.
Cultivate a collaborative work environment by proactively driving efforts to resolve key project conflicts, establishing clear resolution paths, and alignment across disparate teams.
Understand the complex systems within your program space, including their limitations, scaling factors, boundary conditions, and the underlying reasoning behind major architectural decisions.

As a Data Science Manager, you will lead, mentor, and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions. You will own the end-to-end development lifecycle of AI projects, from exploratory research and experimentation through to scalable deployment and optimization. In this role, you will partner with engineering and product leadership to define technical strategies, prioritize initiatives, and ensure successful model delivery. You will also drive innovation across a broad spectrum of ML domains, including supervised/unsupervised learning, anomaly detection, and generative AI, while providing hands-on guidance and championing best practices in MLOps, data governance, and model evaluation.
Key Responsibilities
Lead, mentor, and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions.
Own the end-to-end development lifecycle of AI projects - from exploratory research and experimentation through scalable deployment and optimization.
Partner with engineering and product leadership to define technical strategies, prioritize initiatives, and ensure successful model delivery.
Drive innovation across a broad spectrum of ML domains including supervised/unsupervised learning, anomaly detection and generative AI.
Provide hands-on guidance in model development using tools such as scikit-learn, PyTorch, TensorFlow, and Hugging Face.
Ensure high-quality execution through strong code review practices, reproducibility, and model evaluation frameworks.
Champion best practices in MLOps, data governance, explainability, and monitoring.
Keep pace with academic and industry advances and translate cutting-edge research into productized capabilities.