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Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Staff Security Researcher- Detection AI Research, you will be tasked with joining the Detection AI Research team, where security research meets machine learning. We use EDR telemetry from millions of endpoints to hunt for sophisticated, highly evasive attacks and to close the coverage gaps they expose, using ML models and LLM-based agents that we design, build, and run in production. As a Senior Security Researcher in our AI Detection research team, you will bring the attacker's-eye view: which techniques matter, how they look in endpoint data, and what separates a real intrusion from benign noise at scale. You will work alongside the data scientists who build our models, and your detections will reach real customers through Wayfinder analysts, threat hunters and detection engines.

We are looking for a skilled Malware Reverse Engineer to join our group. In this role, you'll analyze emerging cyber threats, dissect sophisticated malware families, and transform your technical findings into actionable insights.

In this role, you will architect and implement large-scale distributed systems, low-level platform components, and high-performance services that underpin core product stack. You will drive technical strategy across system reliability, performance, and scalability, partnering closely with product, infrastructure, and data engineering teams to deliver systems that operate at global scale with high availability and efficiency.
Software Engineer, Systems Responsibilities
Architect and implement large-scale distributed systems and platform services that support high-throughput, low-latency workloads across Meta's product infrastructure
Lead the technical design of systems components including storage layers, compute pipelines, networking abstractions, and service orchestration frameworks
Identify and resolve systemic performance bottlenecks through instrumentation, profiling, and targeted optimization across the full systems stack
Define and enforce service level objectives for owned systems, building dashboards, alerting pipelines, and runbooks to reduce mean time to mitigation during incidents
Drive reliability improvements by reducing failure surface, designing resilient rollout strategies, and leading regular resiliency and overload testing exercises
Collaborate with cross-functional partners across product engineering, infrastructure, and data science to align system architecture with evolving product and business requirements
Establish and evolve coding standards, architectural patterns, and engineering best practices for systems development across the broader organization
Leverage AI-assisted development workflows to accelerate design iteration, code generation, and systems analysis, applying sound judgment on when to rely on AI versus deep systems expertise
Mentor other engineers on systems design principles, debugging methodologies, and production operations, and contribute to onboarding programs for new team members
Lead incident retrospectives, identify root causes of complex production failures, and drive implementation of systemic improvements to prevent recurrence

In this role, you will operate as a company-level expert in product analytics, partnering with Product, Engineering, and cross-functional leadership to translate complex, large-scale behavioral data into actionable insights that shape the experiences of billions of people worldwide. You will lead the design of rigorous analytical frameworks, advance forecasting and predictive modeling capabilities, and influence the highest-priority product investments through data-driven storytelling and strategic recommendations.
Data Scientist, Product Analytics Responsibilities
Lead the design and execution of complex analytical projects across product areas, applying advanced statistical methods, causal inference, and experimentation to evaluate product impact at scale
Develop and maintain sophisticated predictive models and forecasting frameworks to inform product roadmaps, goal setting, and resource prioritization
Define and evolve success metrics and measurement strategies for product initiatives, ensuring goals accurately reflect user and business value
Identify and size high-impact product opportunities by synthesizing behavioral data, qualitative signals, and business context across multiple data sources
Partner with Product and Engineering teams to design and analyze large-scale A/B tests and feature rollouts, translating results into clear recommendations for product direction
Build scalable, self-service data pipelines and visualization interfaces that enable cross-functional teams to explore and act on product performance data independently
Communicate complex analytical findings to diverse audiences including product leadership and executives through concise, compelling data narratives and presentations
Contribute to functional data science strategy by proactively identifying methodological gaps, championing analytical best practices, and setting goals across teams
Mentor other data scientists on analytical design, hypothesis formulation, and quantitative modeling, elevating the overall quality and rigor of the team's work
Collaborate with Data Engineering and Research partners to improve data infrastructure, eliminate bias in data collection, and ensure analytical outputs accurately represent the populations of interest

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Staff Software Engineer in the Detection Platform group, you will be responsible for defining and evolving the architecture of the cloud-native systems that power our AI SIEM detection, hunting, and response capabilities, including large-scale real-time detection engines, stateful detection engines, anomaly detections, ML pipelines, agentic SOC and threat-hunting capabilities. You will participate in the design and execution of backend systems that process billions of events and several petabytes of data daily and serve tens of thousands of security specialists at enterprise and government customers worldwide.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Staff Technical Support Engineer, you will be tasked with being a key contributor: analyzing complex customer issues, driving our cross-organizational projects, building tools that will help improve productivity, driving innovation, and more. We are seeking someone with a proven track record on a variety of platforms, focusing on Mac, Linux, K8s, cloud, mobile and AI.

Design and implementation of MCU software for operational electronic systems, including:
Low-level drivers for a wide range of sensors and peripherals
Communication stacks over a variety of interfaces
RTOS-based multi-threaded/multi-state system logic
Efficient implementation of real-time algorithms
Optimization of system power/energy states
Debugging using oscilloscopes, logic analyzers, and JTAG/SWD tools
Collaboration with hardware teams and development of hardware bring-up software for custom boards
Proof-of-concept (POC) work ands evaluation of new MCUs for integration into future projects
Working as part of a team, performing code review and mentoring of junior engineers.

Our ASP Development Team is seeking an SAP ABAP Developer. We are looking for a skilled SPA ABAP Developer to develop, enhance, and maintain SAP solutions that support core business operations across a large-scale enterprise environment. This role requires strong SAP ABAP development expertise, experience working within SAP ECC environments, and the ability to collaborate closely with functional consultants.
עוד על התפקיד
Develop, enhance, and maintain SAP ABAP programs, reports, interfaces, forms, and enhancements.
Collaborate with SAP functional consultants to analyze business requirements and deliver technical solutions.
Support ongoing projects, system improvements, and troubleshooting activities within SAP ECC environment.

We are always looking for exceptional talent to join us on the journey!
Your mission:
As a Sales Development Representative, you will report to the SDR Manager and be responsible for qualifying and nurturing leads across EMEA. Your focus will be to accelerate the distribution of Nuveis products by ensuring a seamless experience for potential clients and supporting the sales pipeline.
Responsibilities:
Qualify and nurture outbound leads from multiple channels, ensuring timely and professional engagement.
Generate new business pipeline for Business Development Managers through outbound initiatives.
Demonstrate best practices and up-to-date knowledge of our products and their value to potential and existing clients.
Manage your time efficiently and prioritize your workload to maximize lead conversion.
Develop sales leads by using sales tools with outbound sales prospecting efforts.
Expand market knowledge and awareness through independent research.
Organize and manage your pipeline, presenting updates to your line manager.

As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Machine Learning Engineer Responsibilities
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding

Power the Future with us! we are a global leader in high-performance smart energy technology, with over 3000 employees, offices in 33 countries, and millions of products installed in over 133 countries. Our diverse product offering comprises intelligent solar inverters, battery Storage, backup systems, EV charging, and complete home energy management ecosystems. By leveraging world-class engineering capabilities and with a relentless focus on innovation, we strive to create a world where clean, green energy from the sun is the primary source of power for our homes, businesses, and just about everywhere we thrive. The Embedded Infrastructure Team builds and maintains the shared Embedded software foundations used across the department. We develop reusable code and core technologies that enable multiple projects and teams to succeed, while spearheading the adoption of new technologies within the organization. By providing a robust, scalable base, we empower product teams to move faster with confidence. Key Responsibilities
* Develop and maintain Embedded software for a cross-platform SDK at the core of our company Embedded products.
* Develop bootloaders, drivers, bare-metal, and RTOS-based firmware for ARM & ARC processors.
* Collaborate across software, hardware, and architecture teams to develop and integrate features, from design through implementation and system -level validation.
* Participate in design reviews/code reviews and develop high-quality code following best practices, including unit tests and automated system tests.
* Define and improve development environments and build flows that enable efficiency and flexibility across all teams.
* Navigate a hardware-oriented environment encompassing chip bring-up, physical device integration, complex troubleshooting, and software-hardware validation.
* Apply AI-driven tools and methodologies to accelerate development and enhance code quality.
Country:
Israel
City:
Herzliya

we are In this role, you will translate complex business objectives into scalable technical implementations using Meta's suite of advertising APIs, measurement solutions, and data integration tools. You will partner closely with sales and client teams to design end-to-end solutions that drive measurable marketing outcomes, helping some of the world's largest advertisers unlock the full potential of Meta's platform at scale.
Solutions Architect - (12 Month Contract) Responsibilities
Serve as a technical subject matter expert on Meta's advertising platform, including APIs, measurement frameworks, and data integration solutions, for enterprise clients and partners
Design and recommend scalable technical architectures that align client business goals with Meta's marketing technology capabilities
Collaborate with sales teams to identify and develop new opportunities by diagnosing technical gaps and proposing solutions tailored to client needs
Guide clients through end-to-end implementation of advertising APIs, pixel and conversion tracking, and data connectivity solutions
Analyze complex client business challenges and propose solutions grounded in Meta's platform capabilities and industry best practices
Build and maintain cross-functional relationships with product, engineering, and partner teams to advocate for client needs and influence platform improvements
Develop and deliver technical presentations, solution blueprints, and documentation for audiences ranging from engineers to marketing executives
Prioritize and manage multiple client engagements simultaneously, aligning deliverables to short, mid, and long-term business goals
Provide technical guidance to peers and contribute to onboarding and knowledge-sharing practices within the solutions architecture team
Leverage AI-integrated workflows to accelerate solution design, documentation, and client analysis, sharing learnings to scale adoption across the team