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The Networking Advanced Development Software team develops new groundbreaking technologies to enable new market shares for the company and tighten customer relationships. These are emerging technologies in networking and distributed computing for the booming AI factories and data centers. They span areas such as AI neural networks, Deep Learning, High Performance Computing (HPC), Storage, Cloud, SW Defined Network, Network Function Virtualization and more. We develop the solutions top-down, all the way from application behavioral analysis, to architecture definition and down to the implementation, using the world-leading our devices. The development traverses any needed component - application SW, middleware SW, OS kernel subsystems, device drivers, embedded SW (Firmware) and CUDA GPU. We collaborate with partners and key customers in the analysis processes and engage with open source communities introducing our leading features.

What youll be doing:

Design and implement solutions throughout all layers from high level application, OS and driver subsystem to firmware.

Work on impactful projects involving state-of-the-art high-performance computing hardware and software.

Provide insight and technical guidance and collaborate with peers from across the company - including software architecture, chip architecture, and engineering departments to improve our future technology.

Collaborate with our partners and customers.

Were looking for an experienced SW Team Manager to join our Simulators Team, where you'll lead the design and development of our hardware simulators - functional and performance models that serve as the source of truth, drive architectural exploration and compiler optimization.
Our simulators model diverse cores within a cutting-edge SoC designed to accelerate Big Data and Database Analytics.
You will collaborate closely with hardware and software teams, contributing to co-design efforts that influence architecture, tooling, and system-level behaviour.

Your Impact:
Write and review micro-architecture specifications.
Implement RTL (Verilog/SystemVerilog) to meet timing, performance, and power requirements.
Contribute to full chip integration, timing methodology, and analysis
Collaborate with verification engineers to resolve bugs and achieve coverage closure.
Work with the physical design team to close timing and PnR issues.
Support design methodology evolution and best practices.
Perform debug, root-cause analysis, and post-silicon validation in the lab.

We are redefining urban mobility by proving that autonomous vehicles can navigate complex environments using vision-only technology.
As our Hardware Systems Integration Engineer, you will be the lead architect responsible for the "nervous system " of our vehicles. You won't just be selecting components; you will be evaluating infrastructure that enables our AI software to see, process, and React to the world in Real-Time.
Responsibilities:
* Vision-Centric Architecture: Lead the selection and integration of high-dynamic-range (HDR) automotive-grade cameras.
* Compute Platform Selection - Evaluate and benchmark high-performance edge platforms (e.g., NVIDIA Orin, Qualcomm Snapdragon, Ambarella, or custom SOC solutions) capable of handling massive parallel video streams with minimal latency.
* Thermal & Power Integrity: Design integration of computing HW into automotive grade environment. This work can be done with external suppliers.
*  system Synchronization: design and ensure sensor synchronization.
* Redundancy Planning: architect fail-operational hardware systems to ensure the vehicle remains safe even if a specific component or communication bus fails.
* Present to and consult with the group leaders as to hardware design trade-offs

Were building the next Gen. AI Factory, at a leading AI Infrastructure technology company. Our products sit at the core of rack-scale computing and define the performance and scale of AI systems. If youre driven by solving problems, some dont yet have names, this is where you want to be.
In this role, you will:
Establish and lead a Back-End team with emphasis on RTL to GDS flow, Floorplan, Synthesis, Place and route, clock-tree, STA, layout, signoff (Timing, DRC, LVS) and Power
Be responsible for the Backend execution and methodologies
Be responsible to guide and lead contractors

In this role, you will be a key contributor to the design and implementation of AI Graph Compiler software stack for Neural Processing Units (NPUs). You will take part in defining software architecture, implementing performance-critical components, and enabling efficient execution of advanced neural networks under tight power, memory, and latency constraints.

You will work closely with hardware and system architects, software and hardware engineers, influencing both software and hardware decisions. You will design and implement major parts of NPU embedded solutions, actively promoting AI capabilities to the customers.

What will you do:

Own and design key components of the AI Graph Compiler software stack for NPU-based systems.

Optimize inference performance (latency, throughput, memory footprint, power) for edge deployments.

Collaborate on HW-SW co-design, influencing NPU architecture.

Support IP evaluations and silicon bring-up, root-cause complex HW/SW issues, and influence development methodologies.

Mentor junior engineers and contribute to technical best practices.

At our company youll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:

Bold in how we dream and innovate

Responsive to feedback, challenges and opportunities

Accountable for results and best in class outcomes

Visionary in future focused problem-solving

Exceptional in execution and impact

we are a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.

How We Work
At our company youll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values

Bold in how we dream and innovate

Responsive to feedback, challenges and opportunities

Accountable for results and best in class outcomes

Visionary in future focused problem-solving

Exceptional in execution and impact

Location: Tel Aviv

The Role
Were looking for a hands-on Technical Lead / Architect to design, build, and guide the development of scalable, secure, and resilient systems. As a key member of our engineering team, youll own architectural decisions and lead the delivery of a large-scale SaaS platform that powers mission-critical experiences for our customers. Youll collaborate with seasoned engineers and product leaders to shape and implement our technology vision - spanning everything from REST APIs and distributed microservices to data pipelines and analytics infrastructure. Youll work with modern open-source tools, cloud-native frameworks, and DevOps practices to deliver solutions that scale efficiently and securely.

Your Day-to-Day

Lead the design and implementation of core backend systems and microservice architectures.

Drive technical decision-making, ensuring performance, scalability, and security-by-design.

Collaborate cross-functionally with product, DevOps, and data teams to align architecture with business goals.

Champion code quality, automation, observability, and engineering excellence.

Mentor engineers, conduct design and architecture reviews, and raise the teams technical bar.

Work closely with data scientists to integrate machine learning / AI models into the system.

Stay ahead of emerging technologies, frameworks, and cybersecurity best practices relevant to SaaS architecture.

As a Principal Software Engineer on the Cortex Platform team, you will be part of a group with the mentality and independence of a startup, backed by the power of a successful corporation. You will be instrumental in designing and building a massive-scale infrastructure that supports billions of events per second. Your work will involve storing, processing, and visualizing data to collaborate with the industry's leading cyber products and deliver unparalleled security insights.
Key Responsibilities
Own the end-to-end software development lifecycle, from requirement analysis and design through to development, deployment, and ongoing support.
Architect, design, and develop highly scalable, distributed backend services capable of processing billions of events per second.
Proactively collaborate and exchange information with cross-functional teams, including product management and other engineering groups, to ensure alignment on goals and deliverables.
Drive technical innovation by proposing and implementing new ideas and initiatives, transforming concepts into tangible product features.
Ensure high standards of code quality, performance, and reliability through rigorous code reviews, automated testing, and proactive system monitoring.
Mentor and empower other engineers on the team, sharing knowledge of best practices in software design and cloud technologies.

Were looking for a Senior AI/ML Architect to help shape how our customers implement AI. In this role, youll design scalable, end-to-end ML solutions, from classical models to generative AI, and guide customers from concept to production. Youll work closely with C-level leaders, data scientists, and engineers to deliver impactful, real-world AI outcomes.
📍 Work location - hybrid from Tel Aviv
If you are interested in this opportunity, please submit your CV in English.
Responsibilities
Design and deliver end-to-end ML solutions, including classical ML, deep learning, and generative AI
Create technical proposals, reference architectures, and deployment plans
Lead workshops, POCs, and architecture reviews with startup customers
Translate business needs into scalable ML systems
Implement distributed training workflows and LLM serving infrastructure
Build MLOps pipelines for tracking, versioning, and monitoring
Provide technical guidance to customers and internal teams
Stay up to date on ML trends and contribute to internal enablement
Frequent travels - locally (on-demand to meet with customers and partners and attend local events) and abroad (at least once a quarter).

As a Tech Lead within our companys Business Applications domain, reporting to the Domain Architect, you will be a key driver of our cloud‑native transformation. You will lead the modernization of legacy systems, build foundational infrastructure, and elevate engineering practices as the organization transitions to a modern, scalable, cloud‑ready technology ecosystem.
This role is ideal for a highly independent, analytically driven engineer with deep backend and DevOps expertise, a passion for dismantling monolithic systems, and a desire to shape the next generation of our company technology.
Hybrid / On‑site / Remote: As determined by our company policy
Employment: Full‑time
What Youll Do
Lead Cloud‑Native Modernization:
Drive the evolution of Business Applications into cloud‑first, event‑driven, API‑centric services. Work closely with the Domain Architect to design target architectures and guide teams through migration strategies.
Own Infrastructure & DevOps Foundations:
Define and implement CI/CD pipelines, infrastructure‑as‑code, GitOps workflows, observability practices, automated testing strategies, and security‑by‑design in alignment with our companys modernized SDLC and Shift Left engineering principles.
Break Down Legacy Systems:
Analyze complex legacy components, identify decoupling opportunities, and lead the technical execution for transitioning monolithic systems into modular, scalable services.
Provide Hands‑On Technical Leadership:
Set coding standards, mentor engineers, review designs, and guide teams towards resilient, high‑quality backend engineering. Foster autonomy, clarity, and architectural discipline across development teams.
Partner Across the Organization:
Collaborate with product managers, architects, SRE, appsec, data teams, and operational partners to ensure that modernization efforts deliver real business value, meet compliance and reliability needs, and integrate smoothly within the broader our company ecosystem.
What Were Looking For (Core Competencies)
Analytical Thinking
Strong problem‑solving skills with the ability to dissect complex systems and define clear modernization strategies.
High Independence & Ownership
Comfortable leading large‑scale initiatives with minimal supervision and driving technical outcomes across multiple teams.
Legacy Decomposition Mindset
A demonstrated passion for modernizing systems, replacing outdated technologies with cloud‑native patterns, and eliminating technical debt at scale.
Cloud Engineering Expertise
Experience building, deploying, and optimizing production applications in cloud environments (AWS highly preferred).
Skilled with infrastructure‑as‑code, container orchestration, networking, security, and distributed systems practices.
Backend Engineering Mastery
Proficiency in modern backend languages and frameworks, including strong hands-on experience in at least two backend stacks.‑on experience in at least two backend stacks.
Experience with Node.js is considered an advantage due to its prominence within Business Applications.
DevOps & Modern SDLC Practices
Deep understanding of CI/CD, GitOps, observability, monitoring, automated testing, and environment management.
Familiarity with modern DevSecOps principles and shift‑left engineering methodologies.

our software group is looking for an experienced Python infrastructure tech lead to join our software infrastructure team. our group is responsible for the full software stack running in the vehicle, as well as the development tools and infrastructure that support it. we build and maintain a large-scale automation and infrastructure platform that serves multiple engineering teams across our company. in this role, you will lead the architecture, design, development, and maintenance of high-quality Python -based infrastructure and applications. you will collaborate closely with software engineers, system architects, and project stakeholders to deliver robust, scalable, and innovative solutions that directly impact our core automotive technologies. what will your job look like?
lead technical improvements and proactively enhance system performance, scalability, and Developer productivity.
take ownership of system architecture and technical design, from high-level design to implementation.
collaborate with cross-functional teams to define, design, and ship new features.
develop and maintain Python applications for various projects.
optimize applications for maximum speed.
write clean, efficient, and well-documented code.
troubleshoot and debug issues as they arise.
stay up-to-date with the latest industry trends and best practices.
help shape a structured, collaborative, and improvement-driven engineering culture.

We are redefining how modern organizations secure software from open source and custom code to AI-generated components. As the creators of the first AI Native AppSec Platform, we help global enterprises stay safe, fast, and compliant in an era of AI-driven development. Our platform combines intelligent automation, deep risk visibility, and developer-first experiences, shaping the future of application security.
We are also committed to building a collaborative, empowering workplace. If you are excited about this role but do not meet every requirement, we encourage you to apply. Your perspective could be exactly what we need!
What Youll Do
1. Product Strategy & Vision
Bold Vision: Define and communicate a bold product roadmap that aligns with our mission to move from "vulnerability detection" to AI-driven autonomous remediation.
Market Anticipation: Stay ahead of shifts in the cybersecurity landscape (SAST, SCA, Supply Chain Security) and AI trends to ensure our company remains the industry gold standard.
AI Transformation: Lead the evolution of our platform into an AI-native intelligence engine, securing both traditional code and the emerging AI software stack.
2. Roadmap & Operational Excellence
Execution: Collaborate with Engineering and GTM teams to prioritize and deliver a high-impact roadmap, balancing rapid innovation with enterprise-grade stability.
Metrics-Driven: Establish and track key performance indicators (KPIs), focusing on adoption metrics, and overall customer security posture improvement.
Lifecycle Management: Own the full product lifecycle from ideation to launch, including pricing, positioning, and strategic end-of-life decisions.
3. Strategic Leadership
Team Scaling: Lead, mentor, and scale a world-class team of Product Directors and Managers, cultivating a high-performing, customer-centric culture.
Cross-Functional Synergy: Act as a "leader of leaders," inspiring ownership and collaboration across R&D, Sales, and Marketing to drive ARR growth and market leadership.
4. Customer & Market Insights
CISO Engagement: Maintain a deep understanding of enterprise security challenges through direct engagement with Fortune 500 CISOs and security architects.
Feedback Loop: Partner with Customer Success and Sales to translate field feedback into actionable product enhancements.

We are the Code Scanning Team. We are responsible for developing the core scanning engines of the company's products. To provide a holistic solution in the worlds of SCA, IaC and Secrets. We specialize in edge technologies that include static and dynamic code analysis, cloud security and complex dependency analysis.
Key Responsibilities
Own the end-to-end backend development of features and components, from design and development to testing, deployment, and maintenance.
Contribute to team-wide efforts including code reviews, design reviews, and architectural decisions, ensuring high-quality and maintainable code.
Take full ownership of specific feature segments, demonstrating accountability for quality and timely delivery from conception to release.
Architect and implement hyper-scalable solutions on GCP, ensuring enterprise-grade quality and reliability.
Challenge curiously and positively by exploring new technologies and methodologies to enhance our backend services and AI capabilities.

We are looking for a Group Lead to architect our System Verification & Simulation efforts. This is not a traditional QA role. We are seeking a veteran Software Engineer or Systems Architect to build the "adversarial" distributed system that pushes our platform to its theoretical limits.
Your mandate is twofold:
Build a validation platform capable of simulating massive-scale AI workloads.
Transform the group into an AI-native engineering force. You will leverage Generative AI and LLMs to multiply engineering velocity, automate complex scenario generation, and achieve 1000x the coverage of traditional teams.
What You Will Build & Lead:
Engineering, Not Scripting: You will lead a team of 20+ engineers who write production-grade code (Python, Go, C++) to create a validation ecosystem.
Your team operates with the same rigorous code reviews, design docs, and architectural standards as the Core Kernel team.
Lead the AI-Native Transformation: You will pioneer the integration of AI agents and LLMs into the engineering workflow. This means using AI for synthetic workload generation, automated root-cause analysis of crash dumps, and intelligent test code generation, making your team an ultra-productive powerhouse.
Architecting "The Breaker": Design and build a massive-scale distributed validation framework. You will focus on orchestrating millions of concurrent IO operations to hunt down race conditions, memory leaks, and network partition behaviors that only appear at extreme scale.
Simulation & Chaos: Evolve our infrastructure to simulate real-world entropy. You will champion the development of tools that inject latency, packet loss, and hardware failures into the cluster to prove resilience (Chaos Engineering).
Deep-System Telemetry: Move beyond "Pass/Fail." You will build the observability pipelines that track P99 latency, jitter, and recovery times, providing deep feedback loops to the Core team on architectural bottlenecks.

Were looking for an experienced Backend Team Lead to lead our Cyber Infrastructure Team, a group of senior engineers and architects building backend services and platform foundations within our companys Autonomous Hacking platform. This is a hands-on leadership role, you will set technical direction, coach senior talent, and still write production code.
Youll work closely with product, research, and other engineering teams to deliver scalable, reliable, secure systems, from design to production.
Roles And Responsibilities
Lead the development of backend platform components and services, owning features end-to-end from architecture and design to production rollout and ongoing operations.
Provide technical leadership for a senior team, drive design reviews, engineering standards, mentoring, and healthy, high-performing team culture.
Own technical planning and execution, translate product and platform needs into an executable roadmap, and deliver with predictable quality and velocity.
Drive architectural decisions for distributed systems, event-driven and microservices-based solutions, balancing scale, reliability, security, and performance.
Collaborate with product managers, security research, and QA to define requirements, ship new capabilities, and continuously improve quality.
Establish engineering best practices, code reviews, testing, documentation, observability, incident analysis, and continuous improvement.
Participate in hiring, onboarding, and growing the team over time.