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We are looking for an experienced Embedded Software Engineer to join our team and develop advanced software for complex airborne and ground-based electro-optical systems.
In this role, you will work on real-time embedded software, image and video processing, sensor integration, and system-level capabilities. You will collaborate closely with software, algorithms, hardware, validation, and system engineering teams throughout the development lifecycle, from concept and implementation to integration and field testing.
Responsibilities:
Develop and optimize software for real-time embedded systems.
Design, develop, and debug software using C++ and Java.
Work in Linux/UNIX embedded environments.
Integrate cameras, IMU sensors, LIDAR, and additional peripherals.
Contribute to image processing, video analysis, and computer vision capabilities.
Investigate system issues, perform debugging, and optimize performance.
Participate in system integration, validation activities, and field testing.
Collaborate with multidisciplinary development teams.

We are looking for Automation QA Engineer to join our team. In this role, you will be the quality owner for the Orion system - ensuring every release meets the strictest performance, reliability, and safety requirements expected from a tactical‑grade navigation solution. You will work closely with algorithm developers, embedded engineers, system integrators, and field teams.
Responsibilities:
Design, develop, and maintain automated test suites for the Orion system.
Build automation flows validating logic, algorithm performance, and sensor integration.
Run tests on simulated environments and physical devices.
Execute manual and automated tests across stress, performance, and environmental conditions.
Analyze logs, debug issues, and verify fixes.
Define and maintain QA procedures, regression plans, and verification matrices.
Contribute to CI/CD infrastructure and automation.
Collaborate with system integrators and field teams.
Collaborate with production team and develop automation testing flows also for product delivery testing (ATP).
Writing test documentation (STP / STD / STR) based on SRS / SRD
Designing and executing functional and system-level test cases
Performing System and Integration testing for software-hardware integrated systems

We are actively seeking a seasoned and passionate Senior Python Software Engineer to play a pivotal role in shaping the technological landscape of our product. As a key member of our R&D team, you will be responsible not only for delivering top-tier code quality but also for driving innovation, implementing best practices as we navigate the ever-evolving startup environment.

What Youll Do
Develop high-quality, robust Python code that meets and exceeds industry standards.
Lead initiatives to continuously review and elevate internal code quality standards.
Participate actively in decision-making processes, contributing to architectural design and technology research.
Tackle diverse and complex problems related to scale, performance, and business logic.
Participate in on-call rotations, responding to production incidents, troubleshooting issues, and ensuring system reliability and availability.

Our detection engine is a large Python codebase running PySpark over cloud, SaaS, and identity data at scale on Databricks. Youll own its engineering quality - hardening whats there and extending it - working alongside the cyber investigators who define what it should catch.

In this role, you will:

Harden and extend a large production Python codebase: refactoring, module and API design, typing, test coverage.

Own and optimize critical PySpark workflows processing massive security datasets across multi-cloud environments - correctness and cost both.

Design the data models and queries the engine depends on, and fix the slow ones.

Work directly with cyber investigators to turn attacker behavior into detection logic that holds up in production.

Build with AI as a core tool: AI coding agents daily, and the AI tooling the team runs on - agentic and automated workflows (n8n or similar) and LLM-backed services on Bedrock or vendor APIs.

Raise the bar on engineering practice - code review, CI, and the standards the team holds each other to.

Contribute to architectural decisions and technical direction as the platform evolves.An empty job that is used for creating requisitions 'from scratch'

This position is responsible for supporting daily operations and projects with installation, configuration and maintenance of process control & automation systems including Programmable Logic Controllers (PLCs), Human Machine Interface (HMIs) and SCADA systems.

This position is responsible for interpreting Control Philosophies, Cause & Effects, P&IDs and developing, testing, documenting, and maintaining Rockwell ControlLogix PLC & FactoryTalk HMI based systems and Archestra System Platform object-based programs, templates, processes, and tools to manage and sustain programming code for offshore and high-pressure gas production facilities. Supports project activities including facility design, construction, commissioning, troubleshooting, managing, and maintaining SCADA, DCS, SIS, HMIs, PLCs, PCN Servers & Applications and Communication systems reliability and availability. Maintains SCADA data reporting systems, support Operations production reliability and optimization efforts and support PCN Information Risk Management (IRM) compliance. Train and mentor Operations and Maintenance personnel.

Familiarization with the following software packages preferred:
RSLogix 5000, Studio 5000.
Factory Talk Asset Center.
Factory Talk View ME & Factory Talk View SE.
Archestra System Platform.
Wonderware Intouch.

Each member of our Engineering team is an all-around player who influences the product from the overall experience down to the details of architecture and implementation. You should be passionate about owning a product end-to-end - from design and architecture through implementation, verification, deployment, and monitoring.

What youll do
Collaborate with a team of sharp, impact-driven engineers to solve meaningful, complex challenges in payments at scale
Partner with product managers to ship high-performance, resilient backend systems and APIs that power core payment flows
Architect and build robust, customer-facing services end-to-end, using todays best tools and practices - including AI-assisted development to accelerate design, coding, and testing
Own your code in production: continuously improve, optimize, and evolve the systems that drive our business
Take full accountability for designing, implementing, testing, and deploying backend capabilities with a focus on quality and velocity
Explore opportunities to bring AI into the product itself - from smarter automation in payment flows to AI-powered tooling that improves how our customers work
Champion engineering excellence - set high standards, own what you build, and help level up the team around you

Serve as the Workstream Lead for Unit Operating Cost (UOC) and Upstream Throughput Competitive Performance workstreams for EMED. Drive value creation by identifying, maturing, and delivering initiatives that improve production capacity, reliability, operational efficiency, and cost competitiveness. Act as the primary focal point between initiative owners, operations teams, business performance analysts, and leadership to ensure opportunities are captured, progressed, and realized. Translate benchmarking into actionable insights for EMED operations and leverage learnings from other offshore regions to drive progress in EMED.

Key Responsibilities

Own the UOC and Upstream Throughput opportunity portfolios and maintain a healthy initiative pipeline.

Identify and develop new cost reduction, reliability improvement, and production optimization opportunities through facilitated ideation sessions, integration into standing forums, and stakeholder engagement.

Steward maturation of initiatives, including resourcing decisions, business case reviews, implementation planning, and Competitive Performance (EP) tool management.

Assign and support Initiative Owners, clarify roles and responsibilities, and help remove execution barriers.

Work with Business Performance Analysts to develop business cases and validate value capture.

Track initiative progress, milestones, risks, and realized value.

Support throughput optimization, production debottlenecking, and reliability improvement opportunities across EMED assets.

Prepare dashboards, metrics, and updates for leadership and Performance Delivery Teams.

Support operations benchmarking studies (i.e., Solomon), and work with the central Benchmarking Team to gain business insights relevant to EMED operations.

Represent Competitive Performance in Operations and leadership forums.

Facilitate alignment across stakeholders to ensure initiatives are prioritized and progressed in support of regional Competitive Performance objectives.

Identify organizational barriers, competing priorities, and resource constraints, and collaborate with leadership teams to resolve them.

Build cross-functional relationships across EMED assets and organizations to improve collaboration and accelerate value delivery.

Support the Performance Delivery Lead, Workstream Sponsor, and Performance Delivery Team by preparing materials, providing insights, highlighting risks, and identifying opportunities for acceleration.

Promote a culture of recognition within Operations.

We are looking for a visionary Senior Technical Manager to build and lead our AI software stack for our next-generation NPU platform.

This is a rare opportunity to own the full software layer - from compiler infrastructure to developer ecosystem - and make a lasting impact on how AI runs on silicon.



What You'll Do;

Build and lead a highly skilled AI software & algorithms engineering team, establishing engineering standards, development processes, and technical direction
Define the end-to-end stack - compiler, runtime, kernel libraries, and SDK - enabling efficient AI deployment on our NPU
Drive AI compiler development using technologies like MLIR, TVM, LLVM or similar infrastructures to translate PyTorch/TensorFlow models into optimized NPU execution
Champion model optimization - quantization, pruning, and hardware-aware techniques for maximum performance and power efficiency on the accelerator.
Runtime, Drivers, and Firmware Integration - scheduling, memory management, and low-level software for AI workloads on-chip
AI Kernel Libraries - Guide the development of highly optimized neural network kernel libraries and performance-critical primitives tailored to the architecture of the NPU.
Developer Ecosystem - Define and deliver the SDK, APIs, and development tools that allow internal teams and external developers to deploy AI models easily on the platform.
Cross-Functional Architecture Collaboration - Work closely with silicon architecture and hardware design teams to ensure optimal hardware-software co-design, providing feedback on architecture, performance bottlenecks, and future ISA requirements.

We are looking for experienced Chip Design Engineers to join our team and take a key role in RTL design, new IP development, and SoC integration.

As part of the design team, you will be deeply involved in architectural exploration, protocol evaluation, and hands-on design work across multiple chip blocks.



Responsibilities

RTL design and implementation of new IPs
SoC integration and design ownership of chip subsystems
Exploration and evaluation of new protocols and architectural solutions
Close collaboration with architecture, verification, validation, software, and back-end teams
Delivering high-quality, best-in-class RTL that meets performance, power, and area goals

We are seeking a highly skilled Emulation Engineer with extensive experience in the semiconductor industry to join our Chip Design team.

The ideal candidate will have a proven track record working with advanced emulation platforms, particularly Veloce, Palladium or Zebu.

Key Responsibilities:

Develop and maintain emulation models from RTL for complex SoC designs
Port RTL designs into emulation platform
Debug hardware and software issues in pre-silicon environments
Collaborate with frontend design, design verification, validation and software development teams to create comprehensive test strategies
Set up and maintain emulation hardware infrastructure
Develop workflows for efficient emulation processes
Collaborate with emulator vendor field service engineers to resolve hardware issues
Support users and debug issues

We are looking for an experienced Linux Test Automation Developer to play a key role in ensuring the quality and reliability of our next-generation silicon products.

In this position, you will be responsible for the end-to-end validation of Embedded Linux systems and BMC firmware, working at the intersection of hardware and software.

You will design automated testing environments and perform deep-dive analysis into kernel-level performance and stability.



Responsibilities:

- Environment Design: Develop, maintain, and execute QA environments specifically for testing Embedded Linux kernel and BMC firmware.

- Automation & Validation: Design and implement automated validation tests for kernel, drivers, and user-space components.

- Analysis: Perform comprehensive system performance, stability, and stress analysis on embedded platforms.

- Debugging: Analyze failures, debug kernel and user-space issues, and provide detailed root cause analysis.

- Collaboration: Work closely with development, firmware, hardware, and system teams to ensure high product quality throughout the lifecycle.

- Documentation: Document test plans, test cases, and validation results clearly and accurately.

We are seeking a Radar Algorithm Engineer to join our team and contribute to the development of advanced radar systems. The ideal candidate will be responsible for designing, implementing, and optimizing radar algorithms to enhance detection and tracking capabilities.
Responsibilities:
Design and develop radar signal processing algorithms.
Optimize existing radar algorithms for performance and accuracy.
Collaborate with cross-functional teams to integrate algorithms into radar systems.
Conduct simulations and analyses to validate algorithm performance.
Participate in field tests to evaluate and refine algorithms.
Document algorithm designs and implementation details.

Cynet is seeking a Chief Product & Technology Officer (CPTO) to own Product Management and Engineering as one connected system for customer and partner outcomes. This leader will align Product and Engineering around the highest-value work, compress the delivery cycle for new lines of code that create measurable customer value, and ensure the platform gets stronger with every release. Depending on candidate profile and organizational design, the SVP Security Operations & Research / Adversary Operations function may also report into the CPTO organization. This is a dual mandate. Beyond owning technology and product, the CPTO serves as Managing Director of Cynet’s Tel Aviv office — the most senior executive on site and a stabilizing, unifying leadership presence. Working alongside the other Israel-based leaders, the CPTO is accountable for the stability, cohesion, culture, and continuity of the office, and for making Tel Aviv a destination for top engineering, product, and security talent as Cynet scales. Organization
* Product Management — product strategy, discovery, prioritization, roadmap, customer value, and delivery.
* Engineering — platform, endpoint, product engineering, architecture, quality, reliability, and development velocity.
* Potential Counter Adversary Operations alignment — depending on organizational design, detection IP, MDR delivery, cyber research, data science, infrastructure, and incident response may be aligned under or closely integrated with the CPTO.

What will you do:

* Own Product Management and Engineering, with accountability for product strategy, technology vision, delivery execution, and customer/partner outcomes.
* Create a high-velocity product and engineering engine that compresses the path from customer need to valuable code shipped, adopted, and measured.
* Harness AI across discovery, requirements, design, development, code generation, testing, documentation, release, support, and analytics.
* Bring deep cybersecurity domain fluency, including endpoint security, endpoint management, EDR/XDR, prevention, detection, response, and MDR workflows.
* Bring PLG experience and instincts, designing product experiences that accelerate activation, adoption, expansion, self-service, and measurable value.
* Listen actively to customers, MSP partners, sales, customer success, support, CyOps, and engineering teams, then incorporate the right feedback into strategy and execution.
* Build strong operating rhythms across product, engineering, security, and business teams, ensuring clarity, accountability, culture, and talent density.
* AI-forward operator who actively uses AI, automation, and modern tooling to improve team output, decision quality, and customer outcomes.
* Roll-up-the-sleeves executive who can move from strategy to execution without ego and is comfortable solving hard problems directly with the team.
* Exceptional communicator and collaborator who creates clarity, aligns cross-functional teams, and earns trust with colleagues, customers, partners, board members, and investors as appropriate.
* Customer-, partner-, and colleague-listening leader who builds tight feedback loops and incorporates the right input into priorities, operating rhythms, and execution plans. What Success Looks Like
* A predictable, high-quality release engine with measurable gains in velocity, stability, quality, and customer value delivered per engineering cycle.
* Product and Engineering operate as one system with clear priorities, faster decisions, better discovery, and stronger execution discipline.
* AI materially accelerates how Cynet builds and what Cynet products do for customers.
* Endpoint, cyber, MDR, and platform capabilities reinforce one another in a unified customer and partner experience.
* Product-led adoption improves activation, engagement, expansion opportunities, and customer feedback quality.