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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 as Gemini, Claude, and Cursor for 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.

As an ML Software Engineer with a focus on low-level and CUDA-based optimizations, you will play a key role in shaping the design, performance, and scalability of machine learning inference systems. Youll work on deeply technical challenges at the intersection of GPU acceleration, systems architecture, and ML deployment.
Your expertise in CUDA, C/C++, and performance tuning will be crucial in enhancing runtime efficiency across heterogeneous computing environments. Youll collaborate with designers, researchers, and backend engineers to build production-grade ML pipelines that are optimized for latency, throughput, and memory use, contributing directly to the infrastructure powering next-generation AI products.This role is ideal for an engineer with strong systems-level thinking, deep familiarity with GPU internals, and a passion for pushing the boundaries of performance and efficiency in machine learning infrastructure.

Responsibilities
Design and implement highly optimized GPU-accelerated ML inference systems using CUDA and low-level parallelism techniques
Optimize memory, compute, and data flow to meet real-time or high-throughput constraints
Improve the performance, reliability, and observability of our inference backend across diverse compute targets (CPU/GPU)
Collaborate with cross-functional teams (including researchers, developers, and designers) to deliver efficient and scalable inference solutions
Contribute to ComfyUI and internal infrastructure to improve the usability and performance of model execution flows
Investigate performance bottlenecks at all levels of the stack-from Python to kernel-level execution
Navigate and enhance a large, complex, production-grade codebase
Drive innovation in low-level system design to support future ML workloads

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 Large Scale Training Engineer, you will play a key role in enhancing the training throughput of our internal framework and enabling researchers to pioneer new model concepts. This role demands excellent engineering skills for designing, implementing, and optimizing cutting-edge AI models, alongside writing robust machine learning code and understanding supercomputer performance deeply. Your expertise in performance optimization, understanding distributed systems, and bug elimination will be crucial, as our framework supports extensive computations across numerous virtual machines.

This role is designed for individuals who are not only technically proficient but also deeply passionate about pushing the boundaries of AI and machine learning through innovative engineering and collaborative research.

Key Responsibilities
Profile and optimize the training process to ensure efficiency and effectiveness, including optimizing multimodal data pipelines and data storage methods.
Develop high-performance TPU/GPU/CPU kernels and integrate advanced techniques into our training framework to maximize hardware efficiency.
Utilize knowledge of hardware features to make aggressive optimizations and advise on hardware/software co-designs.
Collaboratively develop model architectures with researchers that facilitate efficient training and inference.
Design, maintain, and evolve a high-quality, shared codebase that emphasizes correctness, readability, extensibility, testing, and long-term maintainability, while balancing performance requirements.

As a Large Scale Video Understanding Research Scientist, you will play a key role in improving video generation quality and efficiency by improving video and audio understanding pipelines used for both training data construction and model evaluation.. This role demands hands-on work with large-scale Video Language Models (VLLMs), including fine-tuning, post-training, and control, alongside implementing classic computer vision and signal processing algorithms and applying strong research skills. Your expertise in post-training and controlling large scale foundational models, understanding statistics, implementing complex systems and eliminating bugs will be crucial, as our video training sets consist of petabytes of data processed across hundreds to thousands of virtual machines.

What you will be doing
Fine-tune and control VLLMs for video and audio understanding.
Design algorithms for balancing, filtering, and curating training and evaluation datasets, informed by model behavior and failure modes.
Implement classic and modern algorithms for processing, clustering, evaluation and filtering of large scale datasets.
Work within high-performance, scalable distributed systems capable of handling petabytes of data, with attention to throughput, correctness, and reproducibility..
Collaborate with other researchers and product stakeholders to iteratively improve training sets and evaluation protocols through tight feedback loops driven by model performance.

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 a 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 talented and experienced Senior C++ Developer to join our innovative development team. In this role, you will design, develop, and optimize the core infrastructure of our cutting-edge products. You will be instrumental in ensuring high performance, reliability, and scalability, while collaborating with team members and stakeholders to shape the evolution of our product suite.

we are growing rapidly, and we are seeking a Full Stack Developer to join our technology department. This position will be instrumental in developing new products and capabilities on our platform for our clients.
Responsibilities :
Collaborate closely with Product and Design teams to build new features end-to-end.
Coordinate with engineering and product leadership to define projects that help us meet business objectives.
Support existing platforms including: additions to features, upgrade of technology and implementation of new clients requests.
Work with support to investigate and debug technical support requests and client issues.
Work in an Agile environment, at a sustainable pace of one/two-week sprints.
Continuously learn and evaluate new technologies and guide team decision making.
Mentor, pair, and delegate work to encourage the professional and technical growth of peers.

We are looking for a Software Engineer for Compute Code Optimization to join the development of the next phase of a Software Defined Radar. Involves embedded code, ultra high speed real-time host application, and implementing MATLAB algorithms in DSP environment.
You will be part of a winning team in a fast-paced startup-like environment, working on many different components of the entire system. You will have an opportunity to make an impact on the design and implementation of innovative technology in its early stages.
What will your job look like?
Build and optimize software modules that implement complex algorithms in real-time on embedded/DSP environment, with memory and bandwidth constraints
Work closely with algorithms teams to convert complex MATLAB code to efficient multi-processor real-time environment.

Do you have a passion for cutting-edge automotive technology and a desire to work with the world's leading car manufacturers?
We are seeking a highly motivated and technically skilled Software and Automation Tools Engineer to join our team.
Our vision is to bring new and cutting-edge automotive radar sensor solutions, while leveraging our assets and expertise in this field. Introducing best in class Radar sensor that would complement our end-to-end autonomous driving solution platform. You will be joining an excellent group of people, working on a cutting-edge mmWave Radar Technology and enjoy a dynamic and challenging environment.
What will your job look like?
You will be Responsible for high-quality, end-to-end, validation / automation infrastructure & tools
Work on data collection & offline processing SW tools to enable Automotive RADAR development.

We are looking for a Senior Full-Stack Developer to join the hunt.
A bit about the position:
Major role in architecting and developing our Dev-Native Observability Platform
Developing and maintaining both backend services and frontend applications
Taking part in a top-notch technology team
Affecting the product roadmap by providing your feedback as a potential end user of the platform

As a developer here you will be a part of the outstanding analytics group which builds a Real-Time Analytics Platform for customers. We are looking for people who look at the world differently, people who are passionate about making sense out of huge amounts of data, who explore, analyze and lead the solutions they envision. If you are passionate about developing an innovative product, making an impact, and strive to work with the industrys best talent as part of one of the fastest-growing and successful startups around - where you want to be!
What will you actually be doing?
End to end development of features and systems that are used daily by key stakeholders, both internally and externally
A technical focal point for software development best practices and design of main components, services and systems.
Be part of an organic team developing in a fast paced environment based on CI/CD.
Investigate, implement and share new technologies and ideas.