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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 are looking for a highly motivated and experienced Software QA Engineer to join our DPU Firmware QA Team. Quality is an integral aspect of our products, and as a Firmware QA Engineer you will have a significant impact in helping us to deliver our products to customers in a fast paced and constantly evolving environment. You will bring your upbeat personality with excellent communication skills, attention to detail, and real passion for a positive user experience. The candidate will take part in wide areas of Software testing, systems testing, networking and automation in Linux environment.

What you'll be doing:

Design, Develop and Execute tests (manual and automatic).

Learn new networking standards, features and protocols and improve QA coverage.

Participate in reviews and provide feedback on product feature requirements, specifications, and technical design documents.

Collaborate with various team including project management, hardware, and software developers, provide technical analysis of bugs.

Execute tests in different scopes: regression, performance, functional, security; report the progress of testing and provide summary reports of testing activity.

Develop/Enhance Tools, applications, or processes to improve the quality and test efficiency.

Define and build setups topologies for appropriate product coverage.

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.

We are seeking a DevOps Manager to lead a team of engineers in developing and supporting scalable CI/CD processes for our Networking products, enhancing global R&D efficiency. The role requires over five years of DevOps experience, leadership skills, proficiency with Jenkins, Git SCM, and programming in Python, Java, or Groovy. It involves collaborating with distributed teams to improve development methodologies and infrastructure. Preferred qualifications include experience with Linux system administration, containerization tools like Docker and Kubernetes, and managing complex infrastructure projects in fast-paced environments. Join us and help us to take our CI/CD infrastructure to the next level! You will have a unique opportunity to have a real impact in a dynamic, technology-focused company shaping the future of networking and data-center technologies. If you bring with your excellence and creative thinking while solving issues as they arise, and if you enjoy working with distributed teams - your place is with us!

What youll be doing:

Supervise a team of 4+ experienced and high motivated DevOps engineers.

Architect, implement and support scalable CI processes for multiple NVIDIA Networking products.

Closely collaborate with DevOps, IT and security teams across the globe to share, promote and improve CI practices.

Build infrastructure for effective, high quality, reliable development and release processes for our products.

Join us at our company, a global fintech leader (NASDAQ; TASE: NYAX) revolutionizing the world of cashless payments, consumer engagement, and business management solutions. With more than 1,200 employees across 12 offices worldwide. At our company, youll be part of a diverse and innovative community where your work makes a real impact and helps shape the future of payments.
Syte is an image recognition solution for retailers in different verticals such as fashion, home, furniture, DIY etc. We offer AI-powered product recommendation and discovery platform. Our solutions include visual search, automated product tagging, advanced personalized recommendations, and more.
We are currently looking for a Senior Machine Learning Engineer to design and implement scalable and integrate machine learning solutions into production. You will work with modern technologies like Node.js, Python, Kafka, MongoDB, and OpenSearch, AirFlow, while driving architectural decisions and CI/CD best practices. This role combines backend engineering excellence with ML deployment expertise.
The Senior Machine Learning Engineer will report directly to the Director of R&D.
Your key responsibilities will include:
Architect and develop MLE services using Python, ensuring high performance, reliability, and scalability.
Collaborate with Data Science teams to productionize ML models (model serving, monitoring, retraining pipelines).
Build and maintain CI/CD pipelines for automated testing, deployment, and monitoring.
Design and implement system architecture for distributed, event-driven systems.
Integrate and optimize Kafka for real-time data streaming and event processing.
Design and manage MongoDB schemas and queries for optimal performance.
Implement and maintain OpenSearch clusters for search and analytics use cases.
Ensure security, observability, and fault tolerance across all services.
Mentor team members and contribute to engineering best practices.

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 an innovative developer to join our team and play a pivotal role in leveraging the exciting synergy born from the Altair acquisition! Your role will be to strategically integrate and expand the capabilities of Simcenter Compose (formerly Altair Compose), our robust math and scripting application, across a wider array of our company applications and workflows.
Key Responsibilities:
Define and execute the integration strategy between Simcenter Compose and selected our company applications.
Collaborate with development teams to design and implement APIs that enable seamless interoperability.
Support and guide developers in using, debugging, and optimizing these APIs.
Develop new Compose toolboxes to expose and package application functionality for end users.
Design and implement regression tests to ensure reliability of newly integrated features.
Contribute to maintaining high code quality while working within large, existing codebases.

The Enterprise Network Support and SRE team is looking to add a seasoned Technical SRE lead to help actualize the SRE vision for our network infrastructure. We are looking for an engineer who is passionate about the network and making its operation seamless with a focus on user experience. This role will offer several opportunities to solve problems by being hands-on with troubleshooting, focused on network automation, observability, documentation, and excellence in operations. This Network SRE will be dedicated to enhancing network operations, diligently working to minimize manual labor and achieve Service Level Objectives (SLOs) amongst many goals. Our approach includes minimizing reactive operational tasks, documenting KB articles that can be used by Bots, following through on RCAs, conducting blameless postmortems, and proactively identifying and mitigating network risks to foster continuous improvement.

This crucial role will be focused on user satisfaction and brilliance in Network Operations. This SRE engineer will focus on tackling significant projects and is committed to fostering a supportive atmosphere that offers the mentorship necessary for professional development and growth. They will bring a wealth of skills and experience to be a sought after mentor, who leads by example.

What you'll be doing:

Owning the operational aspect of the network infrastructure, ensuring its high availability and reliability.

Partnering with architecture and deployment teams to guarantee that new implementations are supportable and align with production standards.

Advocating for and implementing automation to reduce toil and enhance operational efficiency.

Monitoring network performance, identifying areas for improvement, and coordinating with relevant teams to execute enhancements.

Collaborating with SMEs to resolve production issues swiftly and effectively, maintaining customer satisfaction.

Identifying opportunities for operational improvements and partnering with teams to develop solutions that drive excellence and sustainability in network operations.

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 looking for a Senior Software Engineer to join NSV tools (Network Solutions Validation) group. As a senior team member, you will be part of a development effort of high-performing software automation systems for our Data Center environments. You will interact with NIC, OS, Switch, HCA, CPU and GPU compute as well as architects, network engineers, and developers. We drive the data growth of the worlds biggest companies. With talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced. Are you ready for the challenge?

What youll be doing:

Design and develop an automation platform used to provision, configure, and monitor HPC data centers.

Implement scalable, reliable, and maintainable services that enhance cluster visibility and improve operational efficiency.

Collaborate closely with internal and external stakeholders to understand requirements and deliver robust full-cycle solutions.

Improve stability and performance across the provisioning pipeline through architectural enhancements and code optimizations.

Troubleshoot issues in distributed environments and contribute to system observability and reliability improvements.

Work cross-functionally with architects, DevOps engineers, product managers and stakeholders to ensure high-quality releases.

Participate in code reviews, technical design discussions, and continuous improvement activities within the team.