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Your Role:
Design, develop, and maintain complex, scalable, and high-performance systems with a focus on writing clean, efficient, and maintainable code.
Collaborate with cross-functional teams, including product managers and architects, to implement technical solutions aligned with business objectives.
Provide input on architectural design and participate in technical planning to ensure long-term maintainability and compliance with standards.
Identify and troubleshoot production issues, conducting root cause analysis and implementing fixes to ensure system reliability.
Contribute to code reviews and technical discussions, sharing knowledge and fostering a culture of collaboration and continuous improvement.
Your Opportunity:
Develop critical components and systems that drive business outcomes, while maintaining and enhancing core infrastructure for scalability and reliability.
Participate in the design and development of new features, integrations, and enhancements to software applications, databases, and interfaces.
Support and improve automated testing and deployment processes to ensure smooth delivery of new features and system updates.
Collaborate with other senior engineers to drive the technical direction of projects and ensure high-quality software delivery.

We are looking for highly motivated engineers who love the challenges and the opportunity of a small company. Join us and be a part of a small and dynamic team, which revolutionizes the parallel processor architecture.

our company OT Security was established through the acquisition of a pioneering Israeli cybersecurity startup, marking a major milestone in our companys mission to provide proactive security for the world's most sensitive environments. Our solution offers critical visibility and risk management for Industrial Control Systems (ICS/SCADA), protecting essential infrastructures such as power plants, manufacturing floors, and smart buildings. While traditionally an on-premises solution designed to ensure operational continuity and prevent costly downtime, we are now evolving our technology to deliver market-leading risk visibility through advanced architectures and AI-driven capabilities. By combining deep on-premises expertise with proactive AI insights, we empower organizations to identify threats and network anomalies before any damage occurs
Your Opportunity:
Work on everything running on our OT appliance from network data collection and proprietary protocols to sophisticated logical algorithms, data manipulations, and APIs
Own your projects end-to-end, including design, development, testing, and deployment within an Agile environment
Integrate AI to proactively identify security threats
Build high-performance APIs and data-intensive systems primarily using Go
Contribute to the transformation of our core technology toward cloud- integrated architectures and advanced predictive analytics.

We are looking for an Algorithms Manager who will lead the design and implementation of the automotive imaging radar Algorithms stack.

What will you do?
Lead the team which defines and scales up our radar high performance algorithms and make them meet the ADAS and Autonomous Vehicles standards and beyond.
Drive and consistently improve our radar performance.
Identify key areas of Next Generation improvements, recommend research directions and system solutions.
Design, develop and implement Radar data analysis methodology
Be a knowledge source for automotive radar KPIs.
Work closely with different stakeholders that include external customers and internal interfaces like SW, HW, and others.

We are looking for highly motivated engineers who love the challenges and the opportunity of a small company. Join us and be a part of a small and dynamic team, which revolutionizes the parallel processor architecture.

This is a varied role for someone who wants to understand how marketing contributes to business growth in a global B2B technology company. You will work across creative execution and analytical projects, helping the team develop content, understand performance, identify market opportunities, and support sales initiatives. You will work closely with marketing and sales and collaborate with colleagues across product, regional teams, and other parts of the business.
Responsibilities:
Content and Social Media
* Support the planning and execution of marketing campaigns, with an emphasis on social media and digital content
* Maintain the content calendar and help coordinate content reviews, approvals, scheduling, and publication
* Track content needs and follow up with internal contributors to keep projects moving
* Use approved AI tools to support research, content development, data analysis, and workflow efficiency while maintaining accuracy, quality, and brand consistency data and Marketing Analytics
* Track and analyze the performance of campaigns, social media, newsletters, and other marketing activities
* Build and maintain simple reports or dashboards that make performance visible over time
* Identify high-performing topics, formats, and channels, and translate the findings into recommendations
* Analyze customer production and application data to identify market trends, growth opportunities, and potential customer stories
* Turn data into clear findings that can inform marketing priorities, content planning, and sales activities Customer and Sales Support
* Support the preparation of customer-facing presentations, Product Marketing materials, competitive content, and other Presale assets
* Assist in developing customer business cases and clear value propositions
* Conduct research on customers, prospects, market segments, and applications
* Help turn technical or operational information into clear, customer-focused messages
* Maintain and update shared marketing and sales-enablement resources Marketing Operations
* Support marketing activities around industry events, customer visits, demonstrations, and trade shows
* Support day-to-day marketing operations and take on additional projects as priorities evolve

Attributes:

* Highly organized, detail-oriented, and comfortable managing several activities at the same time
* Proactive and willing to take ownership, ask questions, and follow through
* Able to work independently while collaborating effectively with different teams
* Comfortable in an environment where priorities can change, and assignments may vary

The Senior Product Manager will play a key role in the product life cycle with an emphasis on customer requirements, as well as generating and defining the product vision. The Senior Product Manager will work closely with multiple departments, including product management, engineering, UX/UI, sales, customer support, finance, and marketing, to ensure customer requirements are met.
This is an exciting opportunity to join a fast-growing, innovative company, be part of a strong team, and lead a product that solves a high-profile problem in the Cloud Security space. You will be joining the companys product team and leading a significant domain.
Your Opportunity:
Own and lead the vision, strategy, and execution for the Cloud Threat Detection domain, driving end-to-end product development of threat detections and stories, AI risk assessment, eBPF agent, container runtime protection and more. to help customers reduce risk and achieve continuous cloud compliance
Engage directly with customers and prospects to gather insights, validate assumptions, and ensure product decisions align with real-world security challenges.
Collaborate cross-functionally with engineering, design, and research teams to deliver high-impact features and platform capabilities
Drive both inbound and outbound product efforts
Define product strategy and roadmap.

Required Lead SoC Architect
We are modernizing analytics infrastructure with the first purpose-built ASIC processor, the Analytics Processing Unit (APU), for analytics and AI data workloads. Delivering up to 100x faster Apache Spark performance while cutting infrastructure TCO by 90%, the APU executes analytics operations directly in silicon with seamless integration and no code changes.
Responsibilities:
Definition and detailed hardware specifications of subsystems in the SoC
Breaking down the sub-system architecture into microarchitectural blocks with the related firmware, and SW components.
Understanding the system in which the SoC is integrated to and designing the SoC to perfectly fit into the datacenter system.

We are looking for an Algorithms Engineer who will handle the design and implementation of the automotive imaging radar Algorithms stack.

What will you do?
Be part of the team that defines and scales up our radar high performance algorithms and make them meet the ADAS and Autonomous Vehicles standards and beyond.
Consistently improve our radar performance.
Design, develop and implement Radar data analysis methodology.
Be a knowledge source for automotive radar KPIs.
Work closely with different stakeholders that include external customers and internal interfaces like SW, HW, and others.

Were looking for an experienced SW Engineer to join our Architectural Team, where you'll design and develop our hardware simulators 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 behavior.
Responsibilities:
Develop new hardware simulators and continue evolving existing ones.
Collaborate with Architecture, VLSI, and Software teams to drive co-design initiatives.
Provide insights that influence chip architecture, compiler optimization, and system-level performance.
Develop tools that drive the chip development cycle.

As we scale and evolve our fully automated fraud prevention strategies, we are seeking a Data Analyst to join our growing Fraud Analytics team.
We operate in a data-rich, fast-paced environment, processing billions of data points annually, and play a critical role in safeguarding large enterprises from fraud. In this role, you will work at the intersection of data analysis, fraud strategy, and automation, collaborating closely with engineering, data science, and commercial teams to develop scalable fraud detection solutions.
This is a high-impact role with significant ownership and cross-functional collaboration in a team with tremendous room for growth. If you are highly motivated, data-driven, and thrive in a fast-moving environment - you belong with us.
Key Responsibilities
Develop and refine fraud detection strategies by analyzing complex datasets and identifying fraud patterns.
Partner with cross-functional teams, including software engineers, data scientists, and commercial stakeholders, to develop scalable fraud solutions.
Conduct deep-dive risk analyses, leveraging multiple data sources to assess fraud threats and define innovative solutions.
Monitor and automate fraud detection processes to enhance efficiency and effectiveness.

As a Fraud Data Scientist, you will be at the front lines of protecting our ecosystem from sophisticated financial fraud and abuse. You will join a high-impact team operating in a data-rich, high-frequency environment where seconds matter.
In this role, you will take ownership of the end-to-end machine learning lifecycle-from uncovering complex fraud patterns to deploying highly scalable, real-time models into production. You will collaborate closely with Engineering, Product, and Risk Operations to build robust defenses that balance strict security with a seamless user experience.
What You Will Be Doing
Model Development & Deployment: Design, train, and deploy advanced machine learning models (e.g., gradient boosting, anomaly detection, graph networks) to detect and mitigate fraud in real-time.
Production Ownership: Take full ownership of putting models into production systems, ensuring low-latency execution and high reliability.
Agentic Workflows: Research, build, and implement Agentic flows and LLM-driven orchestration to automate multi-step fraud decisioning, logic routing, and investigation paths.
Adversarial Analysis: Conduct deep-dive exploratory analysis on massive datasets to identify emerging fraud vectors, loops, and coordinated attacks.
Feature Engineering: Build and optimize real-time streaming and batch features to improve model signal and precision.
Experimentation & Monitoring: Design rigorous shadow-testing and A/B testing frameworks for new models. Set up continuous monitoring pipelines to catch data drift and performance degradation early.

We are seeking a Technical Project Manager (TPM) to join our growing team. This role will be instrumental in driving execution across both VLSI and software groups, ensuring smooth delivery, operational efficiency, and risk control for complex cross-functional projects.
Responsibilities:
Drive project planning, execution, and delivery across ASIC, VLSI, and SW domains.
Create and maintain project schedules, milestones, and deliverables.
Facilitate regular project reviews, stand-ups, and cross-functional syncs.
Track risks, dependencies, and blockers, escalating when necessary.
Partner with engineering leads to optimize workflows and resource allocation.
Manage inventory, procurement, and technical operations relevant to hardware projects.
Generate dashboards, reports, and KPIs to track project health and communicate to management.
Support continuous improvement in project management processes, tools, and methodologies.