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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.

The Cyber Threat Intelligence Hunter will sit within Unit 42 Managed Threat Hunting and support proactive, intelligence-led hunting across customer environments. This role combines hands-on threat hunting with cyber threat intelligence analysis, helping multinational organizations stay one step ahead of adversaries and cyber threats.
Key Responsibilities
Analyze public and private threat intelligence, Unit 42 research, adversary campaigns, malware activity, infrastructure, indicators, and TTPs.
Translate threat intelligence into actionable hunting hypotheses, investigation workflows, hunting queries, and customer-facing findings.
Execute existing threat hunting reports and hunting workflows, investigate results, and support timely customer reporting.
Investigate scheduled hunt detections and compose clear, professional reports when relevant.
Investigate hunting leads based on IOCs, threat intelligence, internal detections, customer telemetry, and emerging adversary behaviors.
Monitor the threat landscape and prepare initial context for emerging campaigns, enabling the global team to continue deeper investigation and hunting.
Collaborate with threat hunters, detection engineers, incident responders, MDR, and Unit 42 researchers to operationalize intelligence quickly and effectively.
Escalate major, unclear, or high-impact security events to the Threat Hunting leadership team when necessary.
Provide ongoing feedback on findings, hunting reports, queries, intelligence workflows, and operational processes to support continuous improvement.

Cortex XSIAM is the fastest-growing product in the history of cybersecurity. Being a part of XSIAMs product team provides you an unrivaled chance to work with an amazing core team, on an AI-driven security platform, and do that with the resources of the world's cybersecurity leader.
At Cortex XSIAM we challenge the status quo and create the platform and practices that redefine the cybersecurity industry as we know it.
We are currently on a mission to transform security operations. By breaking the silos between endpoint, network, and cloud, leveraging AI and combining endpoint prevention with cross-data detection, investigation and response - our platform provides the modern SOC with the most complete protection against any threat, at scale. More information about the Cortex XSIAM product can be found here(opens in new window)(opens in new window).
Key Responsibilities
Lead cutting-edge Gen-AI capabilities in Cortex and become a subject matter expert in artificial intelligence and autonomous capabilities.
Own the entire product life cycle, from ideation through development and rollout.
Gather feedback, understand user pain points, define problem statements and prioritize feature development.
Design and develop enterprise-grade features through close collaboration with research, engineering, and UX/UI design teams.
Work closely with product enablement, marketing and sales teams to evangelize the product internally and externally, and conduct product demos and presentations to internal stakeholders and customers.
Conduct in-depth market research and competitive analysis to identify trends and opportunities for product improvement and expansion.
Define KPIs and track product performance against established goals.

We are seeking a skilled software engineer to join our NPU software stack development team. This role involves developing high-performance GPU programming frameworks, runtime systems, and libraries for AI/ML workloads. You will be responsible for implementing, optimizing, and maintaining GPU software stack components to support distributed AI training and inference.
Key Responsibilities:
Identify bottlenecks, analysis and optimize in distributed NPU eco-system
Design and develop NPU memory management system
Design and develop optimized NPU development framework, execution path and debugging
Develop compatibility with AI frameworks (Triton, PyTorch, JAX)
Write high-quality, well-tested code with comprehensive documentation
Collaborate with other teams (Hardware, Network, QA, AI Framework Integration)
Participate in code reviews and technical design discussions.

We are seeking an experienced technical leader to head our collective communication library development team. This role involves leading a team of engineers in developing high-performance collective communication implementations for multi-NPU and multi-node AI workloads.
Key Responsibilities:
Lead the design and development of collective communication primitives (All-Reduce, All-to-All, Gather/Scatter and etc)
Architect scalable communication protocols for multi-NPU and multi-node systems
Optimize communication performance for NPU architectures
Provide technical leadership to the team members in NPU programming, distributed systems, and communication protocols
Work with a success-driven worldwide international team (Network, NPU, QA, AI, DL/ML Framework)
Define project milestones, deliverables, and technical roadmaps
Ensure compatibility with major AI frameworks (PyTorch, TensorFlow, JAX).

We are looking for a DevTest Engineer with a strong coding mindset and a passion for leveraging AI-driven tools to enhance and evolve testing practices. The ideal candidate thrives in a dynamic environment, takes ownership of quality, and actively uses modern technologies-including AI-to improve automation, efficiency, and testing impact.
Responsibilities:
Own QA testing activities as part of a Scrum team in an Agile environment.
Design, write, and execute test plans; lead TP reviews; report and verify issues.
Contribute to PI planning and define QA scope and activities within the team.
Participate in daily meetings, proactively raising risks and blockers.
Collaborate closely with Dev, DevTest, Product, and Architecture to deliver high-quality features.
Develop and maintain automated tests in a Python environment.
Triage and analyse failures from automation regression runs.
Actively use AI-based tools to improve testing efficiency, coverage, and debugging.
Contribute to improving test frameworks, methodologies, and QA processes.

If digital and product analytics are your world, but you're looking to expand your understanding of the technical side of data and take ownership of how data works behind the scenes, this role is for you. As a Technical Digital Analyst at  technology company, you'll move beyond traditional analytics into building data infrastructure, working with cloud technologies, and creating AI-powered solutions that drive real business impact. This is a role for builders. We don't separate analytics from execution. We believe in people who take ownership, build solutions, and work across the full data lifecycle - from raw data to business impact. You'll work with some of Israel's leading brands while gaining hands-on experience with modern data, cloud, and AI technologies at scale.
Responsibilities:
* Investigate user behavior, funnels, and conversion journeys directly from GA4 raw data in BigQuery
* Build scalable data models and semantic layers that support analytics and business reporting
* Design and maintain automated data pipelines, integrating data from APIs and external data sources
* Work with cloud-based data infrastructure, including Cloud Functions, Scheduled Queries, and Pub/Sub
* Develop and implement AI-powered agents and automation solutions on Google infrastructure
* Build business-focused dashboards and reporting solutions in Looker Studio
* Work closely with leading brands to solve business challenges through data