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As a Support Enablement and Escalations Engineer on the Cortex Platform team, you will be at the crossroads of Support and Engineering, driving decisions as a thought leader within Global Customer Services. You will work with new products early in their lifecycle, provide training, resolve complex customer issues, and improve product supportability for our industry-leading Cortex products. This role requires excellent cross-functional collaboration with developers, product management, and customers. We seek top-tier candidates from support or engineering backgrounds for our small, impactful global team.
Your Impact
Enable TAC teams by assisting with ad hoc Q&A and providing structured training throughout the year.
Own critical technical issues by identifying widespread problems, creating guidelines, and communicating updates to relevant teams.
Impact new product development by defining supportability and usability requirements during design and post-release enhancement phases.
Develop and deliver technical training materials for TAC, such as white papers and presentations, on new products.
Develop internal tools for the TAC team to improve visibility and streamline troubleshooting processes.
Analyze support cases, trends, and escalations to identify and address knowledge gaps, supportability issues, and tooling needs.
Proactively identify and execute on unplanned projects that improve customer experience, reduce costs, or bolster security.

we are seeking a Principal Backend Engineer for our Cortex engineering group, focusing on Cortex XSOAR, Cortex XSIAM, and new Cortex AI solutions. In this role, you will design and implement robust backend services for our leading-edge security orchestration, automation, and response platform. You will also contribute to creating innovative AI-based solutions, enhancing shared Cortex infrastructures. This is an exceptional opportunity for those eager to advance Cortex products with AI-driven capabilities and make a significant impact in the cybersecurity industry.
Key Responsibilities
Own the end-to-end backend development of features and components, from design and development to testing, deployment, and maintenance.
Proactively collaborate and exchange information with peers across different teams and disciplines to shape solutions and ensure alignment on product integrations.
Contribute to team-wide efforts including code reviews, design reviews, and architectural decisions, ensuring high-quality and maintainable code.
Apply a production-oriented approach, providing real-time mitigation and effective solutions to production issues to ensure platform stability and reliability.
Challenge curiously and positively by exploring new technologies and methodologies to enhance our backend services and AI capabilities.

As a Site Reliability Engineer on the SASE Platform team, you will play a critical role in building and operating highly available, secure, and globally distributed services. Your mission is to ensure our cloud-native security and networking platform is reliable, scalable, and performant from day one, protecting the users, applications, and data for the world's largest enterprises as they adopt cloud, remote work, and AI
Your Impact:
Proactively collaborate with development teams to embed reliability, scalability, and operability into services from the earliest design stages.
Design, review, and evolve cloud-native architectures to improve availability, performance, cost efficiency, and fault tolerance.
Build and operate automation for provisioning, deploying, and managing global infrastructure using Infrastructure as Code (IaC).
Improve CI/CD pipelines and release processes to enable safe, fast, and repeatable deployments.
Drive observability best practices, including metrics, logs, traces, and SLIs/SLOs to enable data-driven incident analysis.
Participate in on-call rotations, reducing mean time to resolution (MTTR) through automation and proactive reliability improvements.
Challenge existing processes by championing reliability, security, and operational maturity across the organization.

We are seeking an Engineering Manager to lead a cross-platform team within the Cortex XDR agent group. In this role, you will lead a group of talented engineers, making critical technical decisions and driving the team's priorities to build revolutionary security capabilities. You will own large projects, guide your engineers, and deliver impactful results in a rapidly changing environment, shaping the future of endpoint protection for millions of users.
Key Responsibilities
Lead, mentor, and manage a team of cross-platform engineers, guiding them through technical challenges, system design, and large-scale projects to deliver results.
Proactively collaborate and exchange information with Product, QA, and other stakeholders to improve processes and ensure successful project alignment.
Provide technical guidance and mentorship to engineers of all levels, fostering an environment of continuous learning and high-quality code delivery.
Take full ownership of product flows from a technical standpoint, partnering with Product Managers to define and deliver new features.
Focus on the customer by analyzing and resolving complex field-reported issues, reinforcing a customer-centric engineering approach.
Drive team growth by leading the hiring process for new engineers and fostering a positive, engaged, and motivated team environment.
Empower team members by providing regular, constructive performance feedback and creating opportunities for professional development.

As a Senior DevOps Engineer supporting our Cortex Research Group, you will lead all DevOps and infrastructure initiatives that empower our researchers to move quickly, securely, and reliably. You will be responsible for designing, building, and maintaining the groups cloud environments, ensuring scalability, stability, and performance across a wide range of experimental and production workloads. Youll serve as the primary point of contact between the Research Group and other critical stakeholders-including Security, Networking, and Compliance teams-ensuring that research projects align with organizational standards while still enabling rapid innovation.
Key Responsibilities
Own and evolve the Research Groups cloud infrastructure and CI/CD pipelines to enable reproducible, automated, and scalable experimentation.
Define and implement standards for infrastructure-as-code, observability, monitoring, and resource optimization tailored to research use cases.
Proactively collaborate with security and compliance teams to enforce best practices for data governance, access controls, and regulatory requirements.
Partner with networking and platform engineers to integrate research workloads into the broader company ecosystem, ensuring seamless operation.
Serve as the primary technical liaison between the Research Group and stakeholders like Security, Networking, and Platform teams.
Mentor engineers and researchers on DevOps best practices, helping to instill a culture of operational excellence and applied learning.

As a Senior Frontend Engineer on the Cortex Cloud Data Security Posture Management (DSPM) team, you will be instrumental in safeguarding our customers against cyber threats. You will take ownership of designing and developing the next generation of frontend applications, from concept to production. This role requires leveraging modern tools, including AI-driven workflows, to build scalable, high-performance user interfaces and deliver exceptional user experiences with speed and precision.
Key Responsibilities
Take end-to-end ownership of major UI features, designing and developing scalable, reusable, and performant frontend components using React/Angular and TypeScript.
Actively adopt and utilize AI coding assistants to accelerate development, generate boilerplate code, write tests, and optimize code logic.
Write clean, maintainable, and testable code, actively participating in code reviews to enhance our internal component libraries and overall architecture.
Proactively collaborate with Product Managers, UX Designers, and Backend engineers to translate complex requirements into robust, working software.
Mentor fellow engineers, share knowledge on frontend best practices, and help foster a culture of technical excellence and continuous learning.
Contribute to architectural decisions and help shape the future of the frontend stack for our security applications.
Ensure the technical feasibility of UI/UX designs while focusing on performance, scalability, and accessibility.

We are seeking a Principal Windows Internals Engineer for our Tel Aviv R&D center. In this role, you will be a key member of the team that designs and develops the low-level Windows components for our revolutionary Cortex XDR endpoint security product, directly contributing to our mission of protecting our digital way of life from advanced cyberattacks.
Key Responsibilities
Contribute to the research and development of Windows drivers, services, and other system-level components.
Challenge the status quo by finding and implementing innovative solutions to counter sophisticated cyberattacks.
Proactively collaborate and exchange information with engineers, security researchers, and product managers to lead projects and initiatives.
Design, develop, and debug complex, high-performance, multi-threaded code in C++.
Conduct in-depth analysis of system internals and focus on the details to produce robust, high-quality security features.
Apply learning from security research and reverse engineering to simplify complex problems and develop practical solutions.

As a Windows Low Level Engineer in Prisma Access, you will architect, design, and build the next-generation Prisma Access agent, redefining secure connectivity for the modern remote workforce. This is a unique opportunity to take charge of a new product architecture from its inception, utilizing up-to-date technology to impact tens of millions of users. You will be instrumental in creating a new approach to connectivity, compliance, and security in a world of loosely defined perimeters and cloud-native applications.
Key Responsibilities
Lead the architecture, design, and implementation of a new, high-impact product from the initial stages.
Design, implement, and test critical C/C++ components, including kernel drivers and user-mode OS-related infrastructures.
Collaborate closely with cross-functional and multi-platform teams to share knowledge and ensure product alignment.
Participate in researching advanced technologies and analyze their implications on connectivity and security.
Investigate and adapt new technologies for integration into the company's product portfolio.
Author comprehensive design documents, development guidelines, and engineering best practices.

We are looking for a Linux Internals Software Engineer for our Tel Aviv R&D center. You will be part of a team that designs and develops the Linux internals components of our revolutionary endpoint security product for the Linux platform
More information about Cortex XDR product can be found here.
Key Responsibilities
Design and implement innovative capabilities for a market-leading product, deployed on a range of platforms from bare-metal to the cloud.
Develop critical components in the Linux internals parts of the product, including user and kernel-mode OS-related infrastructures in both C and C++.
Utilize cutting-edge Linux technologies for real-time event collection, anti-malware, anti-exploitation, and network filtering.
Lead features by collaborating and coordinating with other development and QA teams to ensure alignment on shared objectives.
Uphold and contribute to a team culture that values software development best practices and high standards for quality.

We seek an Senior SW Performance Engineer to join our performance verification team. As a Performance Engineer at NVIDIA, you will have to work closely with NVIDIAs development and architecture teams responsible for Ethernet AI solution and gain a deep understanding of NVIDIA products and technologies.

What youll be doing:

Participate in an international team of software engineers working on products for testing NVIDIA products

Build automated verification environment for high-end hardware and software which is at the forefront of innovation

Identify, analyze, and report software defects, inconsistencies, and other quality issues.

Drive improvements for performance, quality, stability around SW acceleration solutions.

Stay up to date with industry standard methodologies, new technologies, and emerging trends in software verification.

About the role
We are currently looking for an Implementation Consultant (m/f/d) to join our talented Polarion Services team in Israel. In this role you will be responsible for designing, developing, implementing, and supporting our ALM Product, Polarion.
You will have the opportunity to work on some of the largest ALM projects in the region, often within regulated environments.
A security classification is required for this position. Candidates with a valid, existing security classification are preferred.
We are happy to train you up in our market-leading ALM product.
This role can be based Airport City, Israel. Hybrid working is available, but you must be willing to travel to our customer sites.
How will you shape the world of tomorrow? Digitally and with a future-oriented mindset!
Participate in large Polarion implementation projects for Israeli customers
Understand the goals of the project workstream to which you are assigned, the breakdown of project tasks, and be able to explain the workstreams relationship to the overall solution
Design, configure, test, support data migration, and provide production and post-production support
Support knowledge transfer (deliver training courses, user guides, coaching of Polarion key users)
Provide ongoing troubleshooting and user support
Support the documentation and development of standard methodologies, Polarion best practices, templates, workflows, project structures, and the further development of our knowledge base
Work closely with technical and business stakeholders to align Polarion configuration with customer processes and compliance needs.

We're looking for a Senior AI/MLOps Engineer to join a group that specializes in Security and Networking, and specifically ML, AI and agent development. As a Senior AI/MLOps Engineer, youll build and maintain the infrastructure, tools and processes necessary to support the AI lifecycle in a production environment. You will collaborate closely with data scientists, software engineers, security architects and DevOps teams to ensure smooth deployment, modeling and optimization of AI models. This role involves creative problem solving alongside engineering teams, and is pivotal for the continued success of AI networking security.

What youll be doing:

Developing, improving and optimizing scalable infrastructure for handling and deploying security and networking AI models and agents in production, ensuring high availability, scalability, reproducibility, and performance.

Optimizing AI models and agents for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.

Monitoring and deploying agentic systems, LLMs, and ML models in production.

Designing and implementing frameworks/pipelines for AI training, inference, and experimentation.

Collaborating closely with data scientists, security architects and software engineers to operationalize and deploy AI models and agents, including packaging and integration with existing systems. Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews.

Collaborating with DevOps teams to integrate pipelines and workflows into the CI/CD process, ensuring flawless deployments and rollbacks.

Building and maintaining monitoring and alerting systems to proactively identify and resolve issues relating to quality, performance and infrastructure.

Implementing access controls, authentication mechanisms, and encryption standards for AI models and data.

Documenting guidelines, and standard operating procedures for MLOps/AI processes and sharing knowledge with the wider team.

Develop proof-of-concepts for new features.

Help build an Always-On, low-overhead GPU profiling service that runs in production, scales across cluster environments, and delivers actionable insights for ML workloads. You will be hands-on delivering our profiling solutions across system software, drivers, and CUDA to make profiling continuously available and reliable.

What youll be doing:

Develop low-overhead, high-reliability implementations in C/C++, with bounded CPU/memory budgets.

Lead end-to-end feature delivery spanning user-mode components, driver/platform layers, and performance counter/trace providers.

Establish profiling models that integrate with existing ML/AI workflows (e.g., PyTorch/XLA) to turn low-level signals into actionable insights.

We are seeking a hands-on Software Engineering Team Leader to provide technical leadership and coordination for both on-site engineers and outsourced software development teams.
The role requires a strong technical leader who remains actively involved in engineering work, ensuring high-quality software delivery, architectural alignment, and efficient collaboration across development and QA teams.
The Team Leader will oversee work across embedded systems, Linux applications, Windows applications, and QA, while contributing technically through code reviews, troubleshooting, design guidance, and occasional development.
The role should also promote and utilize AI-driven tools and capabilities throughout the R&D development processes to improve development efficiency, code quality, testing, and engineering productivity.
Key Responsibilities
- Provide technical leadership and day-to-day oversight of both on-site engineers and subcontracted development teams.
- Act as a hands-on technical authority, capable of reviewing, debugging, and contributing to code when required.
- Perform code reviews, architecture reviews, and design validation.
- Ensure adherence to coding standards, development processes, and quality requirements.
- Coordinate work across embedded, application, and QA teams.
- Monitor progress, identify risks, and ensure alignment with project milestones.
- Promote and implement AI-assisted development practices across R&D processes (e.g., development acceleration, code quality, testing automation).
- Serve as the technical interface between engineering management and development teams.
Team Scope
The role will oversee engineers working across the following domains:
- Embedded Software - Embedded C
- Linux Applications - C++, Qt
- Windows Applications - C#, .NET
- Quality Assurance / QC
The team includes a mix of internal engineers and subcontracted developers including software engineers, embedded developers, QA engineers, and project coordination.

We are now looking for a Senior HPC Site Reliability Engineer to join our mission and continue improving our HPC infrastructure. A meaningful part of NVIDIAs strength is our unique and advanced development tools and environments that enable our incredible pace of innovation. We are looking for architects to help us evolve the way our private compute cloud is architected and optimized.

What you will be doing:
Provide leadership in the design and implementation of our large-scale compute cloud that enables the world's top chip modelers, designers, and deep learning experts to invent groundbreaking technology.
Identify architectural changes or completely innovative approaches in our cloud architecture and design.
Help with strategic challenges we encounter, including: effective resource utilization in a heterogeneous compute environment, evolving our private/public cloud strategy, capacity modeling, and planning for multi-year growth and scaling across our global computing environment!