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Required CPU Emulation Technical Lead, Cloud
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Tel Aviv, Israel; Haifa, Israel.
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our 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. Our mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.
Responsibilities
Define the emulation strategy, identify platforms and technologies to support all customers.
Explore emulation methodologies, gather feedback from customers, and implement emulation workflows at scale.
Support emulation customers with debugging hardware, software, tooling, and project-specific issues.
Create tooling and automation to support emulation tools, licensing, and job management in our infrastructure.
Act as a primary interface to emulation vendors.

As a Data Science Manager, you will lead, mentor, and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions. You will own the end-to-end development lifecycle of AI projects, from exploratory research and experimentation through to scalable deployment and optimization. In this role, you will partner with engineering and product leadership to define technical strategies, prioritize initiatives, and ensure successful model delivery. You will also drive innovation across a broad spectrum of ML domains, including supervised/unsupervised learning, anomaly detection, and generative AI, while providing hands-on guidance and championing best practices in MLOps, data governance, and model evaluation.
Key Responsibilities
Lead, mentor, and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions.
Own the end-to-end development lifecycle of AI projects - from exploratory research and experimentation through scalable deployment and optimization.
Partner with engineering and product leadership to define technical strategies, prioritize initiatives, and ensure successful model delivery.
Drive innovation across a broad spectrum of ML domains including supervised/unsupervised learning, anomaly detection and generative AI.
Provide hands-on guidance in model development using tools such as scikit-learn, PyTorch, TensorFlow, and Hugging Face.
Ensure high-quality execution through strong code review practices, reproducibility, and model evaluation frameworks.
Champion best practices in MLOps, data governance, explainability, and monitoring.
Keep pace with academic and industry advances and translate cutting-edge research into productized capabilities.

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!

AI now writes code faster than any team could before. The hard part has moved to verification and trust: can you trust what was generated, and is it secure? That question is our category, and it is growing fast. At our company we make AI-speed engineering trustworthy for some of the largest enterprises in the world, and we are building the next version of the company to lead that category.

This is not a backlog-grooming role. We are looking for a PM who owns a bet end to end and runs it like a founder.

What youll own

A product bet from first idea to real usage by demanding enterprise customers

The business case behind it, covering both the technology and the go-to-market

Fast prototyping with AI to turn rough ideas into something people can react to

Clear kill criteria, and the honesty to act on them when the signal turns

Product direction and tight partnership with Engineering, who own execution

UX as part of the spec, not a finishing touch

A transparent roadmap with no surprises

We are looking for a bright, talented Sr Staff DevOps Platform Engineer to join a team of highly energized and professional engineers working on mission-critical systems in the red-hot cybersecurity industry. Focused on development flow productivity, building application infrastructures and tools, with huge challenges related to hyper-growth of engineering and application scale.
As part of your role, you will design, implement and deploy products and infrastructures which will directly increase our stability and quality, while reducing our time to market. Design and develop solution-oriented enterprise DevOps Platforms and tools
Create solutions to increase R&D velocity, reduce lead time and improve overall product quality.
Plan, Design, and develop the company SAAS infrastructure, operation engine, and deployment strategy.
Develop and adopt new technologies aim at improving our overall CI/CD pipelines.
Platform and service troubleshooting across various applications, domains, and platforms
Introduce Security into both the CI and CD pipelines utilizing DevSecOps shift left approach.

In this role, you will be responsible for designing and building the heavy-duty backend systems that power our application security platform. You will work on complex, multi-integrated systems that require deep technical expertise, architectural thinking, and the ability to navigate a fast-paced environment with frequent context switching.

Responsibilities

System Architecture: Lead the design and development of scalable, high-performance backend systems from concept to deployment.

Core Development: Develop efficient and reliable backend services primarily using Java.

Infrastructure & Scaling: Optimize application performance and ensure the reliability of services running in a cloud-native environment.

Data Management: Design and maintain complex databases, ensuring data integrity and query efficiency across relational and non-relational systems.

Complex Integrations: Manage and implement multi-system integrations, handling high levels of complexity and technical interdependencies.

Collaboration: Work closely with cross-functional teams to define project objectives and participate in rigorous code reviews to maintain high quality.

Innovation: Stay current with emerging technologies and trends to ensure our company remains at the forefront of the industry.

We are looking for a bright, talented Sr Staff DevOps Platform Engineer to join a team of highly energized and professional engineers working on mission-critical systems in the red-hot cybersecurity industry. Focused on development flow productivity, building application infrastructures and tools, with huge challenges related to hyper-growth of engineering and application scale
Your Impact:
Design, implement and deploy products and infrastructures which will directly increase our stability and quality, while reducing our time to market.
Design and develop solution-oriented enterprise DevOps Platforms and tools.
Create solutions to increase R&D velocity, reduce lead time and improve overall product quality.
Plan, Design, and develop the company SAAS infrastructure, operation engine, and deployment strategy.
Develop and adopt new technologies aim at improving our overall CI/CD pipelines.
Platform and service troubleshooting across various applications, domains, and platforms.
Introduce Security into both the CI and CD pipelines utilizing DevSecOps shift left approach.

We are seeking an experienced Senior Staff Backend Engineer for our new generation Digital Vault (DV) SaaS product. You will be responsible for building core SaaS offerings on top of an AWS serverless stack using Python, CDK, and other cloud technologies. You will work with a collaborative team of developers, architects, DevOps, and QA to produce top-notch services from planning through production.
Your Impact
Build and maintain core SaaS products using an AWS serverless stack, Python, and CDK.
Collaborate within an agile team through the entire development lifecycle, including architecture, design, testing, and automation.
Work with developers, architects, DevOps, and QA members to produce high-quality services and maintain high standards.
Engage in all aspects of the development lifecycle, including handling production-care and responding to customer feedback.

We are seeking a highly motivated and experienced Principal/Sr Staff Software Engineer to join our group. As a senior developer, you will design and build our new high-scale, complex, cutting-edge systems built in Angular, React & Python running over AWS. You will enjoy both infrastructure and applicative challenges.
Your Impact:
Practice all software development life cycle in an agile-oriented environment.
Design and implement the infrastructure of the system.
Research and implement sophisticated Cyber security mechanisms.
Explore new technologies and tools to keep us using cutting-edge solutions.
Help guide and contribute to feature design and implementation to bring the product to the next level.
Participate in continuous and iterative engineering cycles with an emphasis on code quality, supportability, scalability, and performance.

As a Principal Engineer SQA, you will be collaborating with a SaaS development team that use the latest technologies in continuous delivery to secure the top enterprises in the world. You will gain a deep understanding of the product's functionality, target use cases, and the value it provides to customers.
Your Impact
Serve as the senior QA professional in the R&D team.
Commit to the quality of all released content.
Take an active role in process inspection and continuous improvement.
Actively track team tasks, analyze testing needs, and define QA activities and ownership.
Plan, define, and execute tests as part of team QA related activities.
Analyze and challenge existing testing coverage, both manual and automated.
Create test plans to determine the steps needed to increase confidence in product quality.
Monitor the test and production environments, using DevOps tools.
Assimilate appropriate QA activities within every step of the SDLC.
Define, implement, and manage QA processes, including test plans and procedures.
Actively participate in feature testing during development to ensure adherence to specifications and quality standards.
Efficiently analyze logs and reproduce customer issues for quick resolution.
Maintain and prioritize open issues and bugs to ensure effective tracking and resolution.
Design and execute automated tests, manage test environments, and develop tools to improve testing efficiency and coverage.

As part of your role, you will design, implement, and deploy products and infrastructures that will directly increase our stability and quality while reducing our time to market. You will have end-to-end ownership from individual development environments and SCM/Build/CI servers to our production system on AWS.
Your Impact:
Design and manage Continuous Integration/Deployment Services, including build, packaging, and deployment.
Design, document, implement, and maintain scripts to enhance current and future build and release processes.
Incorporate new development projects into existing build structures.
Continually evaluate tools and technologies to improve the overall release process.

we are looking for a Senior Product Owner to join our CORA (Generative) AI group. We build AI agents, frameworks and shared infrastructure that power GenAI capabilities across the company, enabling our companys product lines to adopt agentic workflows safely, reliably, and at scale.
As the groups Senior Product Owner, you will bridge the gap between emerging AI technologies and production-grade reality. You will own the roadmap for embedding agentic AI solutions across the company, balancing product impact with long-term architectural excellence. Collaborating closely with Product Managers and Engineering, you will define how agent-based intelligence can best serve our diverse product lines, while driving the development of both shared infrastructure and bespoke agentic solutions throughout the entire lifecycle - from ideation and implementation to deployment and evaluation. Your goal is to gradually build a platform that empowers every company product to adopt AI safely, reliably, and at scale.
Enable the Ecosystem:Treat other company product teams as your customers. Deeply understand their product landscapes to ensure our AI platform is flexible enough to support their unique functional needs while maintaining its robustness and architectural integrity.
Architect the Agentic Roadmap:Translate high-level product and engineering vision (the Why & How) into a concrete plan (the What & When) - forming a prioritized backlog of actionable epics, user stories, and functional specifications that guide the R&D team towards building the platform.
Strategic Liaison:Serve as the primary authority for stakeholders outside the development group, providing deep clarity on platform capabilities, framework logic, and how architectural changes will impact the broader product ecosystem.
Tactical Orchestration:Partner daily with R&D to steer the development process - supporting sprint planning, refinement, and high-quality delivery, resolving functional ambiguities, adapting the plan to real-time technical/product insights, and ensuring the team maintains high velocity while staying aligned with the strategic vision.
Champion Iterative Value:Foster continuous feedback loops between stakeholders and technical teams to enable rapid iteration and deliver meaningful value.

we are looking for a Senior Product Owner to join our CORA (Generative) AI group. We build AI agents, frameworks and shared infrastructure that power GenAI capabilities across the company, enabling our companys product lines to adopt agentic workflows safely, reliably, and at scale.
As the groups Senior Product Owner, you will bridge the gap between emerging AI technologies and production-grade reality. You will own the roadmap for embedding agentic AI solutions across the company, balancing product impact with long-term architectural excellence. Collaborating closely with Product Managers and Engineering, you will define how agent-based intelligence can best serve our diverse product lines, while driving the development of both shared infrastructure and bespoke agentic solutions throughout the entire lifecycle - from ideation and implementation to deployment and evaluation. Your goal is to gradually build a platform that empowers every company product to adopt AI safely, reliably, and at scale.
Enable the Ecosystem:Treat other company product teams as your customers. Deeply understand their product landscapes to ensure our AI platform is flexible enough to support their unique functional needs while maintaining its robustness and architectural integrity.
Architect the Agentic Roadmap:Translate high-level product and engineering vision (the Why & How) into a concrete plan (the What & When) - forming a prioritized backlog of actionable epics, user stories, and functional specifications that guide the R&D team towards building the platform.
Strategic Liaison:Serve as the primary authority for stakeholders outside the development group, providing deep clarity on platform capabilities, framework logic, and how architectural changes will impact the broader product ecosystem.
Tactical Orchestration:Partner daily with R&D to steer the development process - supporting sprint planning, refinement, and high-quality delivery, resolving functional ambiguities, adapting the plan to real-time technical/product insights, and ensuring the team maintains high velocity while staying aligned with the strategic vision.
Champion Iterative Value:Foster continuous feedback loops between stakeholders and technical teams to enable rapid iteration and deliver meaningful value.

Required Senior Verification Engineer - Silicon One
Job Description
Meet the Team
Join the Silicon One Front-End Design Verification team, responsible for validating the most advanced networking silicon in the world. Our team ensures functional correctness, quality, and reliability across the entire design flow. We combine state-of-the-art methodologies with a collaborative, startup-like culture, while being backed by our stability and resources.
Your Impact:
Develop advanced verification environments using SystemVerilog and UVM
Write, run, and debug testbenches to ensure complete functional coverage
Drive pre-silicon and in-lab debug activities to resolve complex issues
Collaborate with RTL, architecture, and physical design teams to achieve design closure
Support methodology development, scripting, and automation to enhance productivity
Contribute to the success, powering the next generation of Internet infrastructure.

As a Senior Staff Data Scientist at our company, youll join a team shaping the future of identity security and pioneering research in areas of cybersecurity and Agentic AI.
Advance your data science career by applying your established expertise to solve complex, real-world problems at scale and drive innovation alongside leaders in the cybersecurity and AI space.
Research, design, Evaluate and production deployment of advanced AI/ML models, specializing in LLMs, RAG systems, and Agentic AI applications.
Explore and analyze large-scale datasets to uncover patterns and drive actionable insights.
Collaborate closely with product managers, engineers, and analysts to support feature development and validate ML ideas.
Stay up to date with the latest academic and industry trends in AI/ML and apply best practices to real-world challenges.
Grow your skills in classic machine learning, deep learning, natural language processing (NLP), LLMs and cybersecurity applications.