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Our engineering team is at the core of our products and connected directly to the mission of preventing cyberattacks.‏ We are constantly innovating - challenging the way we, and the industry, think about cybersecurity. Our engineers dont shy away from building products to solve problems no one has pursued before. We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.
In this role, you will be dedicated to safeguarding our clients data within the dynamic cloud landscape. Your work will focus on proactively identifying and eliminating risks, ensuring our clients' sensitive information remains secure, compliant, and accessible only to authorized users, empowering them to grow their business securely.
Key Responsibilities
Drive innovation by designing and implementing impactful solutions that address client needs, contributing to the full feature development lifecycle from design to deployment.
Take ownership of specific feature segments, ensuring high-quality code and robust functionality through meticulous attention to detail and a focus on execution.
Proactively collaborate and exchange information with cross-functional teams, including product and infrastructure, to ensure seamless integration and alignment on shared objectives.
Challenge the status quo by generating innovative ideas and actively participating in brainstorming sessions to foster product and architectural improvements.
Actively engage in technical discussions, openly sharing knowledge and learning from others to solve complex problems and elevate team expertise.
Design and build highly scalable, resilient, and secure cloud-based applications and microservices.
Contribute to an agile and dynamic engineering culture, demonstrating a strong drive and outstanding communication skills to deliver results efficiently.

As a Principal Software Engineer on the Cortex Platform team, you will be part of a group with the mentality and independence of a startup, backed by the power of a successful corporation. You will be instrumental in designing and building a massive-scale infrastructure that supports billions of events per second. Your work will involve storing, processing, and visualizing data to collaborate with the industry's leading cyber products and deliver unparalleled security insights.
Key Responsibilities
Own the end-to-end software development lifecycle, from requirement analysis and design through to development, deployment, and ongoing support.
Architect, design, and develop highly scalable, distributed backend services capable of processing billions of events per second.
Proactively collaborate and exchange information with cross-functional teams, including product management and other engineering groups, to ensure alignment on goals and deliverables.
Drive technical innovation by proposing and implementing new ideas and initiatives, transforming concepts into tangible product features.
Ensure high standards of code quality, performance, and reliability through rigorous code reviews, automated testing, and proactive system monitoring.
Mentor and empower other engineers on the team, sharing knowledge of best practices in software design and cloud technologies.

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.

We are seeking Senior / Principal Engineer for our Tel Aviv R&D center to take a leading role in the Prisma Access Browser team. You will be instrumental in developing our Enterprise Browser, a product designed to secure business online activity by isolating web sessions, filtering threats, and preventing data leaks. In this role, you will lead platform projects end-to-end, own critical workflows, and drive substantial improvements across the entire product.
Key Responsibilities
Create and own features from design and development through to deployment and support in customer environments.
Lead platform projects end-to-end, owning specific flows and delivering substantial product improvements.
Proactively collaborate with cross-functional teams to identify and address infrastructure gaps and pursue new initiatives.
Work closely with product management and customers to devise creative and innovative solutions to complex security challenges.
Serve as a technical leader, mentoring other engineers and improving the team's overall performance and best practices.
Identify areas for improvement within team processes and actively drive positive change through new initiatives or optimizations.

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.

We are a strong, fast-moving team developing advanced solutions in one of our companys most innovative areas - Identity Security.
Were looking for an exceptional Senior Frontend Engineer with deep technical skills and a passion for creating exceptional user experiences. Youll join a team that values clean, scalable architecture and high-quality code, working closely with product, UX, and backend teams to deliver impactful features that protect our customers from evolving cyber threats.
Key Responsibilities
Design and develop next generation frontend application
Take responsibility and lead the development of multiple components of the system in a dynamic environment
Work closely with our UI/UX experts, designers and product managers to create visionary cyber security products
Research, design and develop complex data visualization solutions.

Behind that no-code surface sits a non-trivial backend: a distributed workflow runtime that executes customer-defined business processes, integrates with dozens of third-party systems, and serves real production transactions across 7 regional clusters. We are looking for a Senior Backend Engineer to help us evolve that runtime.

Responsibilities
Own architectural decisions on the workflow runtime, single vs. multi-tenancy boundaries, and integration patterns. Write the design doc, defend it in review, ship it.
End-to-end delivery: requirements → design → implementation → deployment → monitoring → post-incident learning-no throwing over the wall.
Partner with Product, DevOps, and the other engineering teams on cross-team initiatives (Celery → temporal.io rollout, customer onboarding to new regions, breaking changes in the workflow runtime).
Mentor mid-level engineers through code review, design review, and on-call shadowing.
Continuously raise the bar on code quality, system stability, and test coverage.

Are you a master of the AI lifecycle who can thrive at the intersection of deep learning research, cybersecurity and large-scale production systems? Do you possess the rare ability to jump into a complex technical crisis, diagnose a bottleneck in a Small Language Model (SLM), and lead a team to a production-ready solution?
As a Distinguished AI/ML Architect, you will be the premier technical authority across the Cortex AI/ML organization. You will serve as the "force multiplier" for multiple AI & ML teams, ensuring that our AI strategy - from endpoint-deployed DL/ML models to cloud-scale agentic products - is executed with world-class precision. You will operate as the primary technical architect and hands-on leader for our most ambitious and difficult initiatives.
Key Responsibilities
Operate at the forefront of AI and cybersecurity, leveraging vast datasets to design and deploy innovative defense mechanisms.
Provide horizontal technical leadership across endpoint, cloud, and agentic AI teams to ensure architectural excellence.
Oversee the design and deployment of different model architectures to guarantee scalability and high-performance standards.
Spearhead high-difficulty initiatives and new research frontiers, moving them from ambiguity to production.
Resolve complex technical bottlenecks across the stack, optimizing model efficiency and runtime performance.
Align research and engineering efforts to transform advanced models into robust, production-grade products.

Join a team redefining cloud security operations across Cloud Detection & Response (CDR) and Cloud Security Posture Management (CSPM). Our team operates at the intersection of security, engineering, and large-scale cloud operations. We build products that help organizations detect threats faster, respond with confidence, continuously reduce risk, and secure modern cloud environments at scale. This is an opportunity to help shape the future of autonomous cloud defense by building technology that turns security signals into meaningful action.
Key Responsibilities
Help build the next generation of the Autonomous Cloud SOC by transforming detections, posture findings, and emerging threats into intelligent investigation and response workflows.
Design and build automated playbooks that investigate security signals, gather evidence, assess blast radius, validate risk, and guide or execute response actions.
Work across cloud control planes, identity systems, Kubernetes environments, network telemetry, and posture data to turn signals into high-confidence outcomes.
Leverage existing detections, continuously improve investigation logic, and ensure response workflows remain effective as cloud environments and attacker techniques evolve.

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.

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.

Are you passionate about dissecting the intersection of Identity, SAAS, and Cloud infrastructure? We are looking for a visionary Security Researcher to join our team and redefine how organizations understand and mitigate risks across their SaaS and Cloud ecosystems. In this role, you will be investigating the fundamental ways services are utilized and how their configurations can be exploited by modern adversaries. You will bridge the gap between abstract SaaS & cloud architecture and real-world attack execution, transforming complex research into actionable guidance. If you thrive on deconstructing TTPs and building the blueprints for resilient service usage, this is your opportunity to lead the charge in a world-leading cybersecurity company.
Key Responsibilities
Lead ongoing investigations into the risks associated with SaaS, Identity and Cloud platforms, focusing on how these services are integrated within broader environments.
Analyze the functional 'how-to' of cloud services to identify inherent risks and develop robust strategies for secure implementation and usage.
Stay ahead of the curve by researching real-world attacker methodologies and translating these behaviors into practical mitigation strategies.
Design and execute high-fidelity attack simulations in lab settings to observe adversarial behavior firsthand, specifically focusing on identity-based and SaaS.
Create comprehensive research outcomes that guide customers on how to use services securely from the ground up.
Foster a culture of excellence within a diverse team of experts, sharing insights that influence the next generation of cloud and identity security products.

We are looking for a talented and experienced Team Manager to join our CAD Sign-Off group, sitting at the intersection of CAD development and circuit engineering. Our team drives both the development of CAD flows and tools as well as circuit studies and design methodologies, supporting world-class silicon sign-off for our most advanced chips. The role combines internal development work with close collaboration across multiple groups worldwide. You will lead a team responsible for tracking and executing these activities end-to-end, ensuring quality, alignment, and delivery across all fronts. Come be part of a highly professional, impactful environment where your leadership shapes the way we design and sign off our chips.

What you'll be doing:

Own the tracking and execution of team activities spanning both internal CAD flow development and circuit-level studies and design methodologies.

Lead and coordinate engineers working across CAD sign-off, circuit analysis, and design methodology domains.

Drive collaboration with chip design teams, full-chip engineers, and other CAD and design groups globally, ensuring timely and high-quality sign-off convergence.

Serve as a key interface between the team and other groups, aligning priorities, sharing methodologies, and driving cross-group initiatives.

Identify risks and bottlenecks early, propose mitigation plans, and keep projects on track.

Foster a culture of ownership, technical excellence, and continuous improvement within the team.

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.