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we are on a mission to reverse the adversary's advantage by empowering defenders with ingenuity and technology to end cyber attacks.
We have the technology, and now we are looking to expand our talent! Come and talk to us about joining a market leader and a diverse team of passionate people who win as one, ensure a customer-first approach is core to everything we do, and never give up on reversing the adversary advantage .
We're looking for a sharp and experienced Mac Internals Developer to join our Advanced Technologies team to build a flexible and modular endpoint protection agent. You will work with other developers and are expected to have vast experience with Mac Internals, security oriented development (e.g. API Hooking, Code Injection).
As a team member, you will harness your skills to help millions of individuals and organizations fend off any malicious activity - practically defend the world from evil : )
Responsibilities:
Be part of the design, development, and optimization of MacOS internals and system components.
Architect solutions for complex system-level challenges, ensuring robustness and scalability.
Collaborate with cross-functional teams to deliver high-quality software solutions.
Mentor junior developers, providing guidance on best practices in system-level programming.
Conduct code reviews and ensure adherence to industry standards and security protocols.
Stay current with the latest MacOS developments and contribute to the technical direction of projects.

We're looking for a sharp and experienced Windows internals developer that will be part of a team that develops security platform(e.g. API Hooking, Code Injection).
In this position you will
Lead security internal features, empowering the defenders against the most advanced adversaries.
You will work closely with Windows APIs, understand the depths of the operating system, write code optimized for extreme performance constraints of time, memory and storage and work with multiple stakeholders, including security researchers, backend developers and product.

we are on a mission to reverse the adversary's advantage by empowering defenders with ingenuity and technology to end cyber attacks.
We have the technology, and now we are looking to expand our talent! Come and talk to us about joining a market leader and a diverse team of passionate people who win as one, ensure a customer-first approach is core to everything we do, and never give up on reversing the adversary advantage.
About the job
We are seeking a highly skilled OS Internals Team Lead to lead a group of talented developers in building cutting-edge, low-level system solutions across multiple platforms.
Key Responsibilities:
Lead and mentor a team of 2-4 developers, ensuring high-quality deliverables and professional growth.
Design, develop, and optimize system-level components for Windows and/or Linux.
Collaborate with cross-functional teams on system architecture, networking, and security challenges.
Drive innovation in offensive and defensive security methodologies.
Conduct in-depth research into the malware and threat landscape to develop advanced countermeasures.
Oversee driver development and integration across multiple platforms.

we are a global leader in hybrid control systems for quantum computing, a field on the verge of exponential growth.
Our innovative hardware and software offer a groundbreaking approach to controlling quantum computers, scaling from individual qubits to arrays of thousands.
At the heart of QM is a passionate, ambitious team committed to transforming the construction and operation of quantum computers. Our deep understanding of customer needs drives us to deliver unmatched solutions in this revolutionary field.
We are looking for a highly experienced a hands-on Software Infrastructure Engineer who embodies ambition and positivity.
Someone who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfill the evolving needs of our expanding customer base.
Responsibilities:
Creating innovative infrastructure to help with modernizing coding, processes, and workflows.
Drive adoption of AI capabilities across chip design, verification and software teams.
Partner with engineering teams to deliver high-quality software infrastructure for development in a complex hardware-software system.
Design and maintain multi-language code generation systems.
Evaluate and integrate new technologies to enhance developer workflows.

We are looking for an experienced and talented Software Engineer to take part in building our AI products. The candidate should demonstrate a deep understanding of C++ and computer visin.

As a Computer Vision Engineer, youll take part in our innovation efforts to become the market leader in sports tracking and analytics solutions.

Were looking for an innovative engineer to join our team and help build, optimize, and expand the capabilities of our Rust-based SAST engine. This role involves close collaboration with a multidisciplinary team, contributing to the performance, functionality, and language support of the engine.

Key Responsibilities

Develop & Optimize: Enhance and maintain the Rust-based SAST engine, ensuring high performance and reliability.
Collaborate: Work closely with the SAST team to implement features and extend support for additional programming languages.
Design & Architecture: Participate in technical discussions, contributing to architecture and design decisions for the SAST engine.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our customers, Cloud customers and the billions of people who use our company services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Build C/C++ firmware running on embedded processors with limited memory footprints on the SoCs.
Develop tools to update and debug the firmware, enable emulation, chip bringup, and hardware debugging.
Play key roles in emulation, chip bring up, and SoC deployment, and contribute to all layers of the data center software stack to deploy SoCs to production.
Create code generators to generate C++ code based on hardware specifications.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As a CPU Workload Analysis Researcher within our company Cloud's MSCA organization, you will be integral to developing silicon solutions powering our company's direct-to-consumer products. You will join a Research and Development team focused on analyzing and profiling workloads requirements within the company Cloud environment. Your role will involve conducting in-depth research on CPU optimization, feature development, and ML usages over compute platforms, contributing to identifying key areas of investment and future opportunities. This role offers a unique opportunity to perform groundbreaking research with a significant impact on both research methodologies and industry products, within the server chip architecture team. Your work will directly influence the next generation of hardware experiences for millions of our company users and Cloud customers.
The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are company , Cloud customers and the billions of people who use our company services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Plan and execute detailed analysis of CPU workloads within the company Cloud infrastructure, analyze trends and map future requirements.
Collaborate closely with architecture and modeling owners to understand design specifications and identify critical scenarios related to CPU performance and efficiency.
Develop and implement custom workload generation tools and methodologies to simulate real-world usage patterns on our company Cloud platforms.
Analyze the impact of machine learning applications on CPU usage, identifying opportunities for optimization and feature enhancements.
Lead the investigation and development of metrics to measure CPU performance and efficiency, presenting findings to stakeholders and contributing to strategic decisions.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of our company platforms, we make our company's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest our company possible.
The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our customers , Cloud customers and the billions of people who use our company services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Design, develop, test, deploy, maintain, and improve SOC software modeling and other software tools.
Manage individual project priorities, deadlines, and deliverables.
Collaborate with hardware and software architecture teams, SOC performance modeling team, and other company software teams.

Research happens at our company everyday, on many different embedded teams throughout the company. Our research reaches the user through both services and products such as Search, Maps, our company Assistant, our company Translate, our companyCloud, and our computing, storage, and networking infrastructure. To achieve this, were working on projects that utilize the latest technologies that push th e boundaries of what is possible. At our company, research-focused engineering interns are embedded throughout the company, contributing to the setup of large-scale tests and deploying promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing architectures, research-focused engineering interns work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and more.
our company Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.
Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to our company products.
Responsibilities
Participate in research to develop solutions for real-world, large-scale problems.
Research, conceive, and develop software applications to extend and improve on our company's product offering.
Contribute to a wide variety of projects utilizing natural language processing, artificial intelligence, data compression, machine learning, and search technologies.

our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, you will work with system teams and the CPU Architecture team to develop an understanding of the Central Processing Unit (CPU), System on a Chip (SoC), performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model CPU performance at different accuracy levels by supporting architectural explorations and decision making. You will correlate performance projections with measured post-silicon data.The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our customers, Cloud customers and the billions of people who use our company services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Write product or system development code.
Design, develop, test, deploy, maintain, and improve Central Processing Unit (CPU) software modeling and other software tools.
Manage project priorities, deadlines, and deliverables.
Collaborate with hardware and software CPU architecture teams, SoC performance modeling team, and other company Software teams.

We are seeking an experienced Embedded TL to lead the design, development, and optimization of advanced embedded software solutions for diverse applications and networking systems.

This role combines hands-on technical expertise in embedded Linux and C programming with leadership responsibilities, making it ideal for a seasoned professional with a proven track record in agile, fast-paced environments.

Main Responsibilities:

Group Management:

Hands-on experience in conducting Code Reviews (CR) and managing source control (Git).
Strong track record of leading release delivery processes.
Experienced in conducting performance reviews, 1:1 meetings, and team evaluations.
Excellent communication skills with internal and external stakeholders, including customers
System Architecture & Design:

Define, design, and oversee system architecture for embedded systems, including Linux internals and bootloaders.
Ensure systems meet performance, reliability, and scalability requirements for cutting-edge applications on routers.
Development & Optimization:

Develop, debug, and optimize embedded C software and kernel modules.
Architect and refine software for networking technologies, ensuring low-latency and secure performance.
Drive code quality through hands-on coding, code reviews, and adherence to industry best practices.
Project Management:

Oversee the full development cycle, from concept through deployment, managing timelines, milestones, and resources.
Collaborate with cross-functional teams, including hardware, firmware, and network engineers, to align on product goals and technical roadmaps.

We are looking for a talented, proactive, and innovative software engineer to join the SD-WAN Group. In this role, you will help design and implement our SD-WAN product, tackling complex technical challenges and building robust, scalable, and high-quality solutions.
You will work with a diverse technology stack including C/C++, Go, and Rust, collaborating across the organization to deliver impactful features while continuously learning and applying new skills.
Key Responsibilities
Design and deliver robust, efficient, and maintainable code for the SD-WAN product.
Adopt and integrate new technologies to solve complex problems and enhance product capabilities.
Collaborate with teams to design, prototype, and validate solutions for cross-organization integrations.
Maintain and improve performance, scalability, and code quality through problem-solving, innovation, and automation.

We are looking for C++/C# Developer to join the Software Windows agent Team.
This role is perfect for a highly experienced software developer who is familiar with the networking and security world. As an integral part of our R&D, youll be working with a motivated agents team and the software group that is responsible for multiple desktop and mobile device agents.
This job is located in Tel Aviv (hybrid).
About Us
we are a key player the network security field, striving to provide the leading SASE platform in the market. Our innovative approach, merging cloud and on-device protection, redefines how businesses connect in the era of cloud and remote work.
Key Responsibilities
Develop scalable and secure agents on the Windows platform
Research and POC new technologies
Work with developers from other agent teams and with backend teams
Review and train junior employees with their designs
Initiate and innovate to promote business needs.

Were looking for a seasoned C++ and C# developer to join our Agent Infrastructure and Shared Code team.
This role is perfect for a highly experienced software developer who is familiar with the networking and security world. As an integral part of our R&D, youll be working with a motivated agents team and the software group that is responsible for multiple desktop and mobile device agents.
About Us
we are a key player the network security field, striving to provide the leading SASE platform in the market. Our innovative approach, merging cloud and on-device protection, redefines how businesses connect in the era of cloud and remote work
Key Responsibilities
Design and develop scalable, secure agent components.
Integrate agent components into the broader Agent ecosystem.
Research and prototype new technologies to enhance agent capabilities.
Collaborate with other agent and backend teams to ensure seamless integration.
Contribute to performance optimization and cross-platform compatibility.
Drive innovation aligned with business goals.