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The team is responsible for developing and improving our Windows anti-malware prevention. This includes having top-notch knowledge about the latest malware families in the wild, Windows internals, different attack frameworks and hacktools. As part of this, the team analyzes customer data and issues to prevent malicious activities in our customer's environment, and help to improve the product.
Key Responsibilities
Research and analyze malware and keep up-to-date on the most recent tactics and techniques used in the wild
Create behavioral-based protection that enhances our product's coverage
Leverage our company massive collection network to identify coverage gaps and emerging threats
Assist in the design, evaluation, and implementation of new security technologies
Work in close coordination with other teams, including both development and other research teams, as well as support, sales and other cross-functional teams.

What you will do
Research threat actors, campaigns, and techniques relevant to browser extensions, SaaS apps, autonomous agents, MCP/tooling ecosystems, and related endpoint behaviors.
Build and maintain threat intelligence: TTPs, IOCs where appropriate, ATT&CK-style mappings, and internal knowledge bases.
Design, test, and tune detection logic (behavioral rules, heuristics, models, or equivalent) in collaboration with detection and data science teams.
Analyze customer and telemetry datasets to find novel abuse patterns, false positives, and detection gaps.
Produce clear outputs for multiple audiences: technical blogs, customer-facing briefings, internal playbooks, and engineering specs.
Work with reverse engineering, data engineering, and product to turn research into durable platform capabilities.
Participate in incident-driven research and time-sensitive investigations when new threats emerge.

As a Senior Data Scientist, you will bridge the gap between high-level research and production-grade reliability. Your role is to design and build the "connective tissue" that allows autonomous agents to function in the wild. You will move beyond simple wrappers to architect systems that can handle the inherent uncertainty of AI, ensuring that our agentic products are not just "smart," but robust, observable, and capable of operating at enterprise scale.
Key Responsibilities
Design and implement the backbone for multi-agent systems to manage complex, non-linear workflows and autonomous decision-making.
Build specialized infrastructure to handle dynamic AI environments where outputs are unpredictable, ensuring system stability through robust "guardrail" architectures and fallback logic.
Implement advanced tracing and logging for agent "thought processes," enabling the team to debug complex multi-step reasoning chains in real-time production environments.
Develop automated tools to identify, isolate, and replicate edge-case failures in agent behavior, transforming "black box" hallucinations into actionable engineering tickets.
Establish sophisticated monitoring for production deployments, tracking not just uptime, but model decay, tool-calling accuracy, and semantic drift across millions of tokens.

Were looking for Senior Product Managers to join the Koi team, now part of our companys Cortex AES, Agentic Endpoint Security. Koi brings startup velocity and ownership to one of the fastest-emerging security categories: securing the future agentic endpoint.
As a Senior Product Manager on the Cortex AES team, you will play a critical role in shaping the future of endpoint and AI security. You will lead product strategy and execution, working closely with cross-functional teams to define, build, and launch agentic endpoint security solutions.
Key Responsibilities
Defining and owning the product roadmap for agentic endpoint security, aligning it with the overall Cortex strategy
Collaborating with engineering, design, and marketing teams to drive product development and go-to-market strategies
Conducting market research and competitive analysis to identify market trends and customer needs
Engaging with customers to gather feedback, understand pain points, and prioritize feature enhancements
Defining key performance indicators (KPIs) and tracking product performance against established goals
Evangelizing the product internally and externally, including presenting at industry events and conferences.

The Enterprise Browser Platform, developed by Talon Cyber Security, plays a critical role in today's digital landscape by enabling secure and efficient remote work. Its capability to protect unmanaged devices lets users work from anywhere confidently, meeting the growing need for flexibility and security in the modern workplace.
As a DevOps Engineer within the Enterprise Browser Platform Group, a division born from the acquisition of Talon Cyber Security, you will contribute significantly to a cutting-edge environment. Your expertise will be pivotal in developing and operating our modern technology stack, which includes:
AWS & GCP as cloud providers
Terraform & Terragrunt for Infrastructure as Code
Microservices architecture over Kubernetes
ArgoCD and GitOps practices
Datadog as the observability platform
You will ensure the continuous delivery, quality, performance, and reliability of our enterprise browser platform.
Your Impact
Implement and optimize CI/CD pipelines and cloud infrastructure using our technology stack, ensuring efficient and reliable deployment to production.
Participate in the deployment of monitoring and alerting systems to maintain high system performance and reliability.
Collaborate with software development and other cross-functional teams to streamline and enhance processes, aiming for efficiency and alignment with business goals.
Contribute to the management of the cloud infrastructure, utilizing Infrastructure as Code principles.

We are looking for the senior product manager on the ground in Israel for our IT's Enterprise Products team. In this role you are accountable for making the productivity tools we build first-class for the IL workforce and the Networking business unit, and for building and improving our wide Hardware teams productivity tool, an internal Jira purpose-built for Hardware design.

You will report to the Head of PM & Design in the US and partner daily with our US-based PM peers across Personal Assistant, NVInfo/Photon, Astra, and NVBugs. Most importantly, you will be the voice of Israel when we make global roadmap decisions, so the needs of the site are designed in from the start.

What You Will Be Doing:

Represent Israel. Engage NBU and IL business stakeholders, IL engineering leaders, and end users to surface workflows, friction points, and AI opportunities unique to this site.

Shape the global roadmap. Influence our broader IT Product priorities so IL needs are designed in, not bolted on.

Partner with IL engineering. Co-own delivery with the ~20-person IL engineering org driving NVBugs consolidation and the integration layer between NBU's internal tools and NVIDIA-wide systems (NVBugs, Jira, Salesforce, NVOnline, GitHub, GitLab).

Ship full-stack at scale. Own UX, backend behavior, integration design, rollout, and metrics end-to-end. Our products reach tens of thousands of users.

Drive outcomes. Set the adoption, engagement, and productivity metrics that anchor IL's contribution to the global plan.

As a Pre-Sales Engineer for SOC Transformation you will be the expert for our Cortex portfolio, a Next-Gen AI-powered security operations platform. You will play a key role in defining technical solutions that secure a customers key business imperatives.
You evangelize our industry leading solutions in Security Intelligence and Automation, XDR, Attack Surface Management, XSOAR, and Incident Response that establish our company as a customers cybersecurity partner of choice. Additionally, lead CloudSec Transformation with expertise in Posture Management, Cloud Detection & Response, AppSec, and other key areas, ultimately establishing our company as the cybersecurity partner of choice.
Your Impact
Collaborate with account teams to recommend and develop customer solutions within your assigned specialization area
Present to customers as our expert at all levels in the customer hierarchy, from practitioner to senior leadership
Lead and support customer demonstrations that showcase our unique value proposition
Scope and Lead Proof of Value (PoV) projects for prospective customers based on best practices to ensure technical win in your assigned opportunities
Drive high technical validation and PoV win rates within your assigned specialization area
Architect solutions that will help our customers strengthen and simplify their security posture
Accelerate technical validation of proposed solutions within your specialization
Document High-Level Design and Key Use Cases to ensure proper implementation and value realization of our company Solutions
Help our customers build and develop further their services around Cortex solutions
Lead conversations about industry trends and emerging changes to the security landscape
Discuss, with credibility, competitive offers in the marketplace and position ours as the best alternative
Assist account solutions consultants to respond effectively to RFIs/RFPs while serving as the main technical point of contact for Cortex
Position our company or Partner-delivered services as appropriate to ensure proper implementation and value realization of our company solutions.

We are looking for a talented and motivated Software Engineer with hands-on experience building and operating multi-agent AI systems in production to join our team.
The team develops automation tools, orchestration capabilities, and intelligent platforms that simplify the deployment, management, troubleshooting, and optimization of large-scale network and AI infrastructure environments.
You will work on the design and development of AI-powered systems that bridge networking, automation, observability, and distributed infrastructure - running on Kubernetes at scale. Our stack includes LangGraph, Langfuse, RAG pipelines, MCP, and agent-to-agent (A2A) communication patterns.
This role combines strong software engineering with practical AI application development, with a sharp focus on production hardening, tracing, evaluation, and safety of agentic systems - not model training or research prototypes.

As a Senior Product Manager for the XSIAM SIEM team, you will play a critical role in leading a major domain within the Cortex ecosystem. We are seeking a candidate with a leader mindset, someone prepared to take total ownership and responsibility for a critical product area that directly contributes to the global success of XSIAM. In an environment of fierce competition, you will be expected to drive our product strategy by deeply understanding how to deliver superior value within the broader XSIAM platformization vision.
Key Responsibilities
Total Domain Ownership: Lead the end-to-end product lifecycle for a major SIEM pillar. You are responsible for the strategic vision, sequencing scope, and removing blockers to ensure predictable, high-quality delivery.
Platformization & Competitive Value: Drive the shift from siloed legacy tools to a converged security platform. Utilize a Human+AI approach to research competitor strategies, identifying unique value drivers that ensure XSIAM remains the definitive choice for modern SOCs.
Customer & Stakeholder Engagement: Act as a primary liaison to our most significant global customers. You will meet regularly with security leaders and key stakeholders to understand complex operational challenges and translate them into high-impact product innovations.
​​Cross-Functional Collaboration: Serve as the central bridge between peer product teams, engineering, sales, and domain consultants. You will equip global field teams with crisp value narratives to uplift win rates, accelerate market adoption and global go-to-market initiatives.
Advanced AI Roadmap: Own a forward-looking roadmap that integrates agentic AI into the SIEM workflow, ensuring our customers to automate threat detection and response at an unprecedented scale.

Required AI Data Center - E2E QA Network Engineer
We are disrupting the networking market from high-scale architecture to AI platforms, and is bringing onboard the most talented people. We are seeking people that want to make an impact on the worlds leading communication networks and are experienced in networking architecture or AI infrastructure solutions.
Job Summary:
Execute comprehensive testing of AI datacenter networking solutions, focusing on SONiC-based systems, smart NIC integration, and high-performance networking for AI workloads.
Key Responsibilities:
Design large scale testing topologies with GPU/Traffic Generators and execute test cases for network operating system functionality.
Validate smart NIC performance and integration with SONiC datapath
Perform functional, performance, and stress testing of AI networking scenarios
Develop automated test scripts for regression testing and continuous validation
Execute interoperability testing between different hardware vendors and software versions
Validate RDMA, high-speed Ethernet performance for AI workloads
Test failover scenarios and network resilience under various failure conditions
Document test results, file detailed bug reports, and track issue resolution
Collaborate with development teams to reproduce and isolate defects
Participate in customer proof-of-concept testing and field issue reproduction.

As a Senior or Principal Software Engineer in Cortex Cloud, you will contribute to the development and scaling of cloud-native security solutions for enterprise organizations. This role involves working within an established team to evolve a high-traffic product, with a focus on refining architecture, optimizing the technology stack, and maintaining engineering standards.
Your responsibilities include writing reliable code, influencing product direction, and designing distributed systems. You will be expected to make technical decisions that impact the long-term stability and performance of cloud workload protection services.
AI Integration & Engineering Workflow
A core component of our development process is the use of AI. Rather than basic code completion, we integrate AI assistants as functional components of our workflow. Our team utilizes a multi-agent AI system (IDEX/ProDex) that assists across the development lifecycle: from planning and architecture to code analysis and security reviews.
In this role, you will:
Work with AI Tools:Utilize platforms such asGemini, Claude, and Cursorfor tasks beyond code generation, including root-cause analysis, system design reviews, and architectural assessment.
Develop AI-Augmented Workflows:Help refine how AI is integrated into the SDLC, including the orchestration of agents and the development of internal tools that extend AI capabilities across our codebase.
Maintain Quality Standards:While AI assists in increasing velocity, you are responsible for the technical output. This includes critical review of all generated code and ensuring that AI-assisted work aligns with our architectural requirements and security benchmarks.
Interact with Specialized Agents:Coordinate with AI agents (Product, Architecture, Security) that operate on shared context to assist in managing complex engineering tasks.
We are looking for engineers who are interested in leveraging AI as a technical tool to manage complexity and who want to contribute to the practical application of human-AI collaboration in a cloud environment.