דרושים » הנדסה » C Software Developer 25683

Join our companys Secure OS group, where we lead the design, development and upgrade of GAiA OS, our companys Linux-based operating system. As a member of our team, you will assimilate advanced technologies and collaborate closely with various R&D teams.
We are seeking a skilled developer who will excel in delving into Linux internals and tailoring them to meet our companys requirements.
The ideal candidate is innovative, self-motivated, and adept at quickly mastering new concepts.
If you are passionate about Linux, hardware, networking, and security, we invite you to join our dynamic team.
Key Responsibilities
Develop and integrate new features and functionalities into GAiA OS.
Address security vulnerabilities within the OS.
Adapt and integrate open-source software components into our company system.
Interact with hardware and product teams, and customers to identify and resolve OS related issues.
Implement support for new hardware in GAiA OS.

We are seeking a talented and passionate Software Engineer to join our NIC team, working at the forefront of AI datacenter infrastructure. In this role, you will develop and optimize the software stack powering high- performance NICs deployed in large-scale AI training and inference clusters. You will collaborate closely with hardware, networking, and AI framework teams to ensure our NIC stack delivers maximum throughput, minimal latency, and seamless integration with GPU computing frameworks and collective communication libraries.
Key Responsibilities
● Design, implement, and optimize L2 and RDMA features for third-party NIC hardware
● Design and develop tools for real-time NIC performance monitoring, profiling, and telemetry in AI datacenter environments. Analyze end-to-end distributed training and inference bottlenecks.
● Develop, maintain, and extend NIC drivers and firmware interfaces within the Linux kernel network subsyste
● Collaborate in the evaluation and integration of upstream kernel, vendor, open-source NIC features,
Hardware, Networking, QA, and AI Framework Integration teams
● Implement, integrate and tune RoCEv2 / lossless Ethernet transport for AI workloads requiring ultra- low latency with GPU programming frameworks (CUDA, ROCm)
● Write production-grade, well-tested, and thoroughly documented code following team engineering standards and participate actively in code reviews, architecture discussions, and technical design sessions.

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 on a mission to secure the AI transformation that every company is going through, building a platform that protects organizations as they adopt AI tools at scale. This is your chance to join one of the fastest-growing areas in our company and develop technology that will define how cybersecurity operates in the AI era. You will be part of a multidisciplinary team of backend engineers, endpoint developers, AI researchers, and product experts from Israel and global acquisitions, all working together to deliver cutting-edge, end-to-end security solutions to the worlds largest enterprises.
As a Software Developer on our team, you will work across both backend services and endpoint components, designing scalable systems that connect endpoint-level data collection with cloud-based analysis and enforcement. Youll play a key role in building the agents and services that monitor and control interactions with AI tools, shaping a new category of security products that operate seamlessly across platforms and environments.
Key Responsibilities
Develop and maintain backend services alongside endpoint components for a cross-platform security platform
Design scalable systems that integrate endpoint-collected data with cloud-based processing and enforcement
Build and enhance endpoint agents responsible for monitoring and controlling interactions with AI tools (e.g., coding assistants, web-based AI services)
Implement data pipelines, policy enforcement logic, and secure data handling mechanisms across endpoint and backend layers
Collaborate with AI and product teams to deliver end-to-end solutions
Troubleshoot and resolve complex issues across distributed system and endpoint components.

We are looking for experienced software developer with a strong backend mindset, solid networking understanding, and hands-on experience building robust, multi-threaded systems.
If you enjoy working across system components, APIs, and management platforms - and want to see your code used by enterprises worldwide - this role is for you.
You will work closely with VPN core engineers, product managers, and UI teams to deliver secure, reliable, and user-friendly solutions.
Key Responsibilities
Develop VPN & SD-WAN management software: Design and implement backend services and management components used to configure, monitor, and troubleshoot VPN & SD-WAN environments.
Backend development in Java and Python: Build scalable, maintainable services using Java and Python, with strong emphasis on OOP principles, clean architecture, and code quality.
Concurrency and performance: Develop and maintain multi-threaded components, handling concurrency, synchronization, and performance considerations.
Networking-aware development: Work with networking-related data and flows, integrating with VPN / SD-WAN components and understanding their operational behavior.
End-to-end ownership: Participate in design, development, debugging, testing, and maintenance of production-grade systems.
Collaboration and design discussions: Work closely with cross-functional teams to design APIs, improve usability, and evolve system architecture.

Required Embedded User Space Engineer
Description
We are a leading high-tech company, developing top-performing AI processors for edge devices in various industries. We combine an extensive understanding of the way neural networks operate, with our teams expertise in SW and HW architecture, to develop products that transform the way we use machines to perceive and analyze the world around us.
Our company is led by a group of experts from a wide range of disciplines, combining experience from elite intelligence units as well as leading tech companies in Israel and abroad, with a track record of executing complex projects from the ground up. As an AI chip company, we believe that AI can help us create a better, safer, more productive, and more convenient world. For this to happen, AI needs to be available at scale and on the edge.
To this end, our team of hardware and software leaders is developing top-performing AI processors, dedicated to AI tasks on edge devices in a wide variety of applications and industries including smart cities, automotive, manufacturing, agriculture, retail, and many more. With hundreds of customer programs around the world, and a wide ecosystem of software and hardware partners, we are leading the edge AI revolution.
In this position:
As a team member in our Media Pipeline team, you will be responsible for developing a C++ open-source framework and applications for our top-of-the-line AI-Vision processor. You will be working on a production-grade framework that enables Vision pipelines for our customers in multiple industries, such as security, automotive, retail and more.
If you are passionate about working with a large-scale SW and youre excited about AI, we want to meet you!
In this role, you will have a direct impact on our products.
Responsibilities
Help build and develop our best-in-class Edge AI SoC, developing an open-source, production-grade framework for the media pipeline
Work in different SW environments: C++, Python, C
Work closely with Software architects and the Machine Learning group, integrating and debugging complex software systems while taking into account challenging requirements as part of managing a large-scale embedded system.

We are looking for a Senior Embedded Engineer to lead the design and optimization of next-generation software for advanced networking solutions. This position offers more than just a coding job, its an opportunity to lead projects, tackle significant challenges, and make an impact in a fast-paced, agile environment.
What You'll Do:
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 product goals and technical roadmaps.

Were looking for a bright and passionate Senior Software Engineer to join our Access Clients team. In this critical role, you will design, develop and maintain core components of our Access Clients which are used by hundreds of thousands of users worldwide, on various households and enterprise environments. You will help taking the Windows Client to the next level of functionality and stability, developing core Service functionality as well as user-facing components.
Responsibilities:
Developing core components for C++ Windows Service and applications.
Working on the cross-platform C SDK library which runs on all major operating systems.
Researching new technologies.
Taking ownership on new features and leading collaborative efforts.
Support the entire application lifecycle, including release management and supporting production.
Collaborate with quality assurance, technical support, product-management and other engineering teams to deliver integrated features.

This is a Software Development Engineer (SDE) role in the engineering team that delivers the sensor (lightweight agent) on various container optimized Linux distros. This role will be part of the team designing and implementing new features in the sensor to secure cloud workloads. The work leverages eBPF and other technologies. These features will extend the power of the Falcon platform to provide seamless visibility, detection, and prevention for container processes running in orchestration environments like Kubernetes.

What You'll Do:

Create and maintain high-performance linux system software components. Analyze complex software features, and build effective test strategies and test designs.

Ensure systems and components reliability and performance through monitoring, testing, and debugging. Debug product issues found through test or customer cases to identify root cause and use the input to improve tests.

Work closely with a team of engineers to support and maintain a culture of high product quality and excellence. Collaborate with cross-functional teams to integrate sensor and cloud solutions. Work collaboratively with product and release management to control risk, improve quality, and streamline our release cycles.

Participate in code reviews and provide technical guidance to team members. Participate in engineering best practices, including topics like secure coding, testing paradigms, debugging, performance measurement, code reviews, CI/CD and OS internals, to ensure that our sensor code is fast and reliable.

Lead strategic technical initiatives focusing on containers and orchestrators security in both public and private cloud.

Other projects as assigned.

This role is hybrid, requiring 2-3 days per week on-site at one of the posted locations.

Appdome’s mission is to protect every mobile app in the world and the people who use mobile apps in their lives and at work.
Appdome provides mobile brands with the only patented, centralized, data-driven Mobile Cyber Defense Automation platform, delivering rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events™ threat-aware UI/UX control, ThreatScope™ Mobile XDR, and Certified Secure™ DevSecOps Certification in one integrated system.
With Appdome, mobile developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, test, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from inside mobile DevOps and CI/CD pipeline.
Leading financial, healthcare, m-commerce, consumer, and B2B brands use Appdome to upgrade mobile DevSecOps and protect Android & iOS apps, mobile customers, and mobile businesses globally. Today, Appdome's customers use their platform to secure over 50,000+ mobile apps with protection of over 1B mobile end users projected. About The Position We are looking for a talented Mobile Fraud Engine to join Appdome. In this role, you will develop sophisticated fraud detection and prevention components that operate at the core of our mobile threat intelligence platform — diving into signal processing, risk evaluation logic, and real-time decision-making, and translating your findings into robust, production-ready code. This position is ideal for developers who want to understand how fraud happens and use that knowledge to build innovative solutions that protect millions of mobile applications worldwide. Job Description
* Design, develop, and maintain core fraud detection and risk-scoring components within mobile apps.
* Investigate fraud patterns and mobile threat signals to develop innovative detection and prevention mechanisms.
* Own the collection of threat and device signals used by risk assessment algorithms to perform device and user behavioral profiling.
* Design systems that make split-second decisions, balancing security accuracy with user experience.
* Continuously explore emerging fraud trends and incorporate new detection techniques into our product.
* Collaborate with a multidisciplinary team of engineers, data scientists, and security experts to deliver end-to-end solutions.