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We are looking for a Data Products Engineer to take full ownership of our internal product suite - the full-stack applications, AI agent tools, and automation pipelines that power teams across the entire company every day. You will step into an established ecosystem and take the reins. Your mission is to maintain, evolve, and build the next generation of these internal tools so every department can move faster and make smarter, data-driven decisions.

Reporting directly to the VP of CS & Data, this is a high-autonomy, tech-lead role. You wont just write code; you will make architectural decisions, solve complex domain challenges with smart software, and shape how the entire company interacts with data.

How will your day-to-day look?
Own the Internal Product Suite: Lead the development of our core full-stack applications. You will build and scale the central platforms and dashboards that give Product, CS, Sales, and executive leadership visibility into product usage, account health, business performance and more.
Advance the Internal AI Layer: Design, deploy, and refine custom agentic AI workflows - enabling teams across the organization to query complex B2B and product data naturally and conversationally.
Engineer Smart Automations: Architect workflow automations and custom APIs that pipe downstream data directly into the operational tools our teams use every day.
Bridge Data and Software: Partner seamlessly with Data Ops and Data Analysts to transform raw data models into highly usable, intuitive user interfaces and automated actions.
Run the Infrastructure: Own the end-to-end DevOps lifecycle for our internal applications, managing deployment, containerization, observability, and CI/CD pipelines.
Drive Technical Strategy: Act as the technical anchor for internal tools. You will translate high-level product and business challenges from company leaders into shipped, reliable software.

we are looking for a Mgr, Software Engrg Mgmt.
As a Software Engineering Team Lead for our core product, AMS, you will lead the full-stack
engineering team responsible for the central platform used directly by all our enterprise customers.
AMS is a key business driver and one of our most impactful and revenue-generating products.
In this role, you will lead a dedicated team that works hand-in-hand with Product Management to
deliver new feature initiatives, maintain high product quality, and drive overall system stability. You
will act as a key technical leader, mentor, and hands-on contributor - owning architectural decisions,
feature execution, on-call processes, and practical solutions that help our customers get the
absolute most out of the product.
We are looking for a sharp, proactive leader with strong organizational skills, high learning agility,
and a passion for technology. If you thrive on taking ownership, making clear technical decisions,
and staying close to both the code and the product - this role is for you.
Job Description:
Team Leadership & Ownership: Mentoring and guiding a full-stack engineering team,
fostering a culture of ownership, high engineering standards, and continuous growth.
Product Collaboration: Partner closely with Product Managers to align on roadmap goals,
translate business needs into scalable architectures, and turn product vision into clean,
robust code.
Architecture & Hands-On Delivery: Drive architectural clarity and best practices across our
Python backend, React frontend, and PostgreSQL data layer. Balance hands-on coding, design
reviews, and code quality with execution management.
Operational Excellence: Oversee platform reliability, performance, monitoring, and incident
management using modern observability tools.
Customer Value & Continuous Optimization: Lead initiative-driven maintenance and
enhancements to help existing enterprise clients derive maximum value from the AMS
platform.
Modern Engineering & AI: Champion organized workflows and leverage modern tooling
(including AI-assisted development) to drive team efficiency and innovation

We are seeking a senior, hands-on engineer who combines deep engineering fundamentals with modern toolsets to deliver high-impact, production-grade software.
What You'll Do:
Lead the end-to-end design and implementation of scalable backend microservices, database schemas, and advanced frontend infrastructures.
Drive system architecture decisions, ensuring high performance, security, and reliability across AWS cloud environments.
Write clean, maintainable, and high-performing code across both backend (Python) and frontend (React, TypeScript) stacks.
Utilize AI-assisted development workflows (such as Claude Code) effectively to accelerate delivery while strictly adhering to high standards of code quality, testing, and architecture.
Partner closely with product managers, data analysts, architects, and QA engineers to deliver complex, cross-company initiatives.
Take end-to-end ownership of horizontal group projects and mentor team members on best engineering practices.

We are seeking a hands-on Applied AI Scientist to join our core R&D team and drive the development of next-generation AI systems for autonomous driving. This role sits at the intersection of applied research and deployment - you will go from reading papers to shipping production systems. You will work directly on our multi-layered autonomy architecture, with a primary focus on real-time predictive models for driving decisions.
A deep technical role for someone who thrives on turning cutting-edge research into real, working systems under hard constraints.
Responsibilities:
Own the research-to-deployment cycle for predictive driving models - from literature review and prototyping through to production integration
Design, implement, and iterate on real-time predictive models, including vision-language models, motion prediction models, and inverse reinforcement learning approaches (e.g., imitation learning, reward recovery)
Collaborate on higher-level reasoning systems, contributing to vision-language-action models that handle complex edge cases and long-horizon planning
Bridge cloud-scale training with edge deployment - work on model compression, quantization, speculative decoding, and efficient inference for embedded automotive platforms
Evaluate and integrate state-of-the-art techniques from the broader AI research community into our autonomy stack
Collaborate closely with internal R&D teams to unblock technical challenges, accelerate delivery, and raise the overall technical bar

We are seeking an experienced Senior DevOps Engineer to build and maintain the critical infrastructure that powers our multi-platform development pipeline, from cloud-based development environments to embedded automotive systems.
This role combined traditional cloud infrastructure, embedded systems tooling, and safety-critical automotive software deployment.
You will work closely with our embedded systems, software, and quality teams to enable rapid, reliable, and traceable releases across multiple customer programs (VinFast, JoyNext, and internal platforms).
Responsibilities:
Expert in infrastructure cost optimization, cloud resource management, and identifying opportunities to reduce operational expenses without compromising performance or reliability
Design, implement, and maintain CI/CD pipelines using GitHub Actions, supporting multi-repository development workflows and versioned manifest-based releases
Build and optimize cloud infrastructure for development, testing, and OTA (Over-The-Air) deployment pipelines (x86-based build systems, container orchestration, monitoring, and observability)
Establish and enforce DevOps best practices for safety-critical automotive software (ISO 26262, AUTOSAR, traceability, audit logs, change management)
Collaborate with embedded systems teams to ensure deterministic, bit-identical builds across different platforms and environments
Troubleshoot and resolve infrastructure issues affecting development velocity and production systems

We are looking for a Senior Software Engineer to join our small, core, professional development team in Tel Aviv. You will work closely with our CTO to create new software products that leverage our high-performance computational engine while modernizing our technical architecture.

This role is for an engineer who enjoys high-level systems work - taking our proven underlying tech and building the next generation of features and products on top of it. You will have a direct hand in shaping the architecture and integrating modern workflows into our ecosystem.

What you will do:
Product Creation: Lead the development of new, innovative software products, utilizing our robust computational foundation as a starting point for advanced capabilities.
Modern Architecture: Design and implement architectural improvements that allow us to integrate new features and AI-driven workflows efficiently.
Bridge the Stack: Interface our established, high-performance computational core with modern application layers and APIs.
Systems Design: Solve complex technical challenges by applying a systems-first mindset, ensuring our software remains clean, modular, and scalable.
High-Level Collaboration: Partner with our CTO and a small team of senior engineers to define our technical roadmap and uphold high standards of code quality.

Required Technical Account Manager - Post Sale
Job Description:
Join our Post Sale department as a Technical Account Manager and manage customer accounts while providing service, support, and upgrades for existing defense systems.
Responsibilities include:
Manage customer accounts (security and military organizations), providing service, support, and upgrades for existing defense systems at the customer site.
Serve as technical lead and point of contact (POC) with the customer for support and service.
Handle service tickets in coordination with internal company interfaces - testing/integration/software teams, etc.
Plan and coordinate work schedules for inspections, maintenance, and testing.
Review contractual obligations and technical specifications to define the appropriate support and service response.
Write commercial proposals for maintenance, service, and upgrades.
Develop and deliver training for operation and maintenance.
Conduct reliability and availability analyses.
Provide logistical support services.

We are currently seeking a skilled Algorithm/Signal Processing Engineer to join our R&D team and drive the development of advanced algorithms, perform in-depth signal analysis, and contribute to cutting-edge defense technologies.
Job Description:
The CTO team is tasked with promoting innovative next gen algorithms and sub-systems to meet current and future challenges.
In this role, you will lead R&D initiatives focused on RF Spectrum Detection and Jamming of Drones and communication devices.
Activities include Research, python/matlab simulations, fixed point modeling, Interaction with HW group and RF testing, Proof of concept, field-testing.

Required Integration Engineer
Job Description:
Join our multidisciplinary integration team and take part in the development and validation of advanced RF-based systems. The role involves hands-on work with complex hardware and software systems, prototype setup and testing, troubleshooting, and close collaboration with multiple R&D teams.
Responsibilities include:
Integration and testing of complex multi-module systems
Involvement throughout the full development lifecycle of RF and digital systems
Setup and validation of prototype systems at both hardware and software levels
Identifying hardware/software issues and driving technical solutions
Working closely with software, hardware, and final testing teams
Participating in challenging, development-oriented projects with strong growth opportunities.

Required Software Programmer - LTE/5G Cellular Protocols
Job Description:
Join TNGs R&D team and take part in developing advanced LTE/5G cellular monitoring and spectrum-analysis technologies. The role combines software development, protocol research, RF analysis, and real-world system integration in both lab and field environments.
Responsibilities include:
Development in C/C++, Python, and Bash
Research and analysis of LTE/5G cellular protocols and RF behavior
Building monitoring, detection, and automation tools
Analyzing protocol data, logs, and software code
Working with databases and query languages
Collaborating with multidisciplinary R&D teams and participating in field activities
Turning complex RF and protocol information into operational insights.

We are seeking an experienced Embedded Software Engineer to join a team of top-tier professionals developing a high-performance system built on the AMD/Xilinx Zynq UltraScale+ RFSoC platform. This system will form the core technology behind the companys future RF and wireless products, spanning secure cellular communications, signal-emission detection, and protection against communications exploitation.
Responsibilities include:
Develop embedded C/C++ software for the RFSoCs Arm Cortex-A53 and Cortex-R5F processors in embedded Linux, FreeRTOS, and bare-metal environments.
Configure RF ADC/RF-DAC resources, AXI and DMA data paths, interrupts, clocks, NCOs, interpolation, decimation, and multi-tile synchronization.
Support RFSoC board bring-up, FPGA integration, debugging, and system validation.
Implement detection infrastructure and embedded algorithms to identify anomalous or unauthorized activity.
Develop and optimize end-to-end, high-performance PCIe/DMA software solutions across embedded and host platforms, including low-level Linux drivers, user-space components, APIs, libraries, multithreaded applications, and automated performance testing.

We are currently seeking an experienced Project Manager to lead project planning and execution, coordinate cross-functional teams, and ensure the successful delivery of complex defense technology projects on time and within scope.
Responsibilities include:
Full project ownership from initiation through delivery - including R&D coordination, supply chain management, manufacturing, and customer delivery.
Direct management of customer relations throughout the project lifecycle.
Preparation of project documentation and oversight of planning, development, and implementation processes.
Active participation in technical meetings and setting development directions as needed.