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Lead the development of our company Sensing SDK, a core software toolkit that integrates a broad set of computer vision, audio, and voice libraries, along with AI operators. The SDK is specifically designed and optimized for our companys latest NPUs and DSPs - NeuPro-M, NeuPro-Nano and SensPro2 - positioning it as a cornerstone of our companys sensing and AI platform.
Key Responsibilities:
Lead and mentor a team of software engineers developing our company Sensing AI SDK. Architect and implement high-performance sensing SW components for AI, vision, Audio and voice optimized for vectorize SIMD execution. Collaborate with compiler and DevOps teams to ensure efficient development and deployment. Drive technical excellence through code reviews, design discussions, and continuous improvement. Own the SDK roadmap, planning, and delivery cycles. Engage with customers to enable successful pre-sale processes, support integration and gather feedback.

In this role, you will be a key contributor to the design and implementation of our companys Edge AI 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 our company NPU embedded solutions, actively promoting our company AI capabilities to the customers.
What will you do:
Own and design key components of the Edge AI 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.

Join our company's software tools team and contribute to widely used open source based toolchains while building tools that run on real hardware across millions of devices. Our team embraces an AI-agentic development flow - using AI coding agents as part of everyday engineering - and we want engineers who are excited to work this way from day one.
Responsibilities
Contribute to our company's open source based toolchain targeting custom DSP and NPU architectures.
Analyze and optimize toolchain output for performance and correctness across our company processor families.
Apply AI-agentic development practices in day-to-day work - using AI coding agents to accelerate development.
Collaborate with architecture, hardware, and software teams.

We are seeking a highly skilled and motivated Senior Director of Software Development Tools to lead a team of approximately 50 engineers delivering high‑performance development tools for advanced AI and Wireless platforms. In this role, you will provide strong technical and organizational leadership, guide the team through complex engineering challenges, and build an efficient organization that enables fast, reliable delivery of production‑quality tools.
You will work closely with business units and customers to understand their needs and constraints, support ongoing development efforts, and help drive the evolution of innovative tooling solutions. Our development tools increasingly incorporate AI‑Agentic workflows, where software agents contribute to analysis, optimization, and coordination across the development lifecycle, while operating within structured and well‑governed systems.
Key Responsibilities
Leadership & Execution
Lead and manage a multidisciplinary organization of ~50 engineers delivering mission‑critical development tools.
Provide clear direction and guidance to ensure high engineering standards, effective problem‑solving, and on‑time delivery.
Establish and continuously improve organizational structures, development processes, and execution practices to support efficiency and scalability.
AI‑Agentic Development Tooling
Guide the development of tools that incorporate AI‑Agentic flows, where agents support and orchestrate parts of the development process such as compilation, debugging, simulation, and analysis.
Ensure agent‑based capabilities are designed with clear boundaries, traceability, and validation, suitable for enterprise and production environments.
Balance innovation with stability, ensuring AI‑driven components integrate smoothly into established toolchains and workflows.
High‑Performance Toolchains
Oversee the development of compilers, debuggers, simulators, and related tooling optimized for performance and accuracy.
Ensure tools enable fast and reliable modeling of complex AI accelerators and wireless systems.
Maintain focus on production requirements, including correctness, determinism, scalability, and long‑term maintainability.
Business & Customer Collaboration
Collaborate closely with business units, platform teams, and customers to understand tooling needs and priorities.
Translate requirements into clear technical roadmaps and execution plans.
Serve as a senior technical partner, ensuring alignment between engineering delivery and business objectives.
Team Development & Culture
Build, mentor, and retain a strong engineering leadership team.
Encourage collaboration, knowledge sharing, and professional growth across the organization.
Foster a culture that values engineering rigor, accountability, and continuous improvement.

We are looking for a motivated Principal FPGA Engineer to join our team in Raanana.
You will have the chance to develop your own skills in a flexible and energetic work atmosphere with friendly and experienced colleagues. You will have helpful supervision, opportunity to learn, modern tools and flexible work culture.
If you want to be a part of our growing company that is driven by innovation and is focused on building a future together with our employees, consider applying.
Principle duties and responsibilities :
Design and develop FPGA/ASIC solutions across the full product lifecycle, including feasibility studies, architecture definition, implementation, verification, and production support
Work independently to deliver high-quality engineering solutions with minimal supervision.
Operate at the system architecture level across multiple design domains.
Serve as a Subject Matter Expert (SME) in one or more technical areas and provide consulting to other teams.
Lead and contribute to complex, high-impact projects critical to the business.
Integrate AI tools in FPGA/ASIC development process.
Mentor and provide technical guidance to junior and senior engineers.

Required Sales - Pre Sales Engineer - Africa
In this role, you will lead technical and commercial pre‑sales activities, own customer interactions, deliver impactful demos, and support RFx responses, POCs, and solution design. You will act as a trusted technical advisor, helping expand our installed base and win new opportunities.
What you will do:
Lead end‑to‑end customer engagements, from discovery through solution positioning to deal closure support
Run structured discovery sessions, identifying business needs, use cases, and decision criteria
Deliver and own customer‑facing presentations, demos, and workshops with clear, value‑driven messaging
Take ownership of RFx responses, POCs, and solution design, ensuring alignment with customer requirements
Partner closely with Sales to shape opportunities, identify risks, and contribute to winning strategies
Manage multiple opportunities in parallel, coordinating effectively with internal stakeholders
Build strong expertise in our solutions, architecture, and integrations, and apply it in customer contexts.

Cardo Systems , the global market leader in the field of wireless communication systems for Powersports & Outdoor, is seeking a dynamic and experienced Program and NPI Engineer to join our operations department. Full-time position in a hybrid model (from company’s offices at Raa’nana/from home), reporting to NPI &ODM Team Leader. The Program and NPI Engineer will play a pivotal role in bridging the gap between research and development (R&D) and Operations. This position involves managing the transfer of new product lines, overseeing tactical programs, and optimizing cross-company processes, validations, and documentation. This role is crucial in managing the seamless transition of new products from R&D to operations, overseeing tactical programs, and optimizing cross-company processes. Roles & Responsibilities: New Product Introduction (NPI):
* Lead the seamless transfer of new products from R&D to manufacturing operations.
* Manage the NPI process, ensuring on-time and on-budget execution.
* Collaborate with R&D, manufacturing, and supply chain teams to align on NPI goals and timelines.
* Implement best practices for efficient NPI processes, including design reviews, validation, and documentation. Program Management:
* Manage tactical programs, ensuring alignment with organizational goals.
* Collaborate with cross-functional teams to develop and execute program plans.
* Track and report program progress, identifying and mitigating risks.
* Utilize matrix management skills to lead and influence teams without direct authority. Cross-Company Processes:
* Optimize and streamline cross-company processes to enhance efficiency and effectiveness.
* Collaborate with various departments to ensure seamless communication and coordination.
* Implement continuous improvement initiatives to enhance overall operational excellence. Validations and Documentation:
* Oversee product validations and ensure compliance with industry standards.
* Develop and maintain thorough documentation throughout the NPI process.
* Work closely with quality and regulatory teams to ensure products meet required standards.

Cardo Systems is a provider of cutting-edge communication and connectivity devices and applications for powersports and outdoor enthusiasts. In 2026, Cardo is proudly unveiling its Beyond Helmet line, the first of its kind in the motorcycle industry, fostering a new age in safety, sound, and communications. After pioneering the world’s first Bluetooth-based wireless intercom headset in 2004, Cardo has been responsible for many of the industry’s innovations, revolutionizing communication, pushing technological boundaries, and enhancing user safety. Now sold in over 100 countries, Cardo is proud to be the world’s leading communication device for groups in motion. * Full-time position in a hybrid model (from the company’s offices at Ra'anana/from home), reporting to the VP R&D. What You’ll Do System Architecture and End-to-End Ownership
* Define and maintain system architecture and technical solutions of the product, responsible for ensuring all components - Mechanical, Electrical, Firmware, Mobile, Backend, Audio, and Operations - work together as one coherent system
* Translate product requirements into clear system and hardware specifications
* Define interfaces between hardware, firmware, RF, audio components, and mobile SW
* Identify gaps, risks, and unclear areas in requirements, and lead POCs and technical investigations to validate solutions and ensure compliance
?System Engineering Leadership
* Holistic System Oversight - Lead system design across multidisciplinary domains, ensuring optimal performance
* Work closely with hardware and RF engineers on component selection and board design, while aligning with software teams on system logic and architecture
* Ensure optimal performance in terms of connectivity, audio quality, robustness, and power consumption
* Drive system integration and lead the root cause analysis of complex system-level failures across all domains
?Cross-Team Technical Leadership
* Serve as a technical focal point across hardware, firmware, mobile SW, audio, and product teams
* Coordinate technical activities to ensure system alignment and successful implementation
* Participate in design reviews and contribute to future product architecture

. Join Our Team as a system architect at DRS RADA Technologies! Technical Characterization and system Design:
* Spearhead the technical characterization, system design, and architecture of radar-based electronic systems.
* Drive innovation and efficiency in system design processes, ensuring optimal performance and reliability. Leadership in Field and Lab Experiments:
* Lead field and lab experiments to validate and optimize system functionalities.
* Collaborate with cross-functional teams to plan system tests layout, ensuring comprehensive and insightful results. Performance data Analysis:
* Analyse system performance data to derive meaningful insights and recommendations.
* Implement data -driven improvements and optimizations to enhance overall system efficiency.

Required Pre-Sales Engineer
Israel, Herzliya
Full-time
Hybrid
Todays world is crime-riddled. Criminals are everywhere, invisible, virtual, and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough
Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.
For nearly 30 years, the incredible minds around the world have worked closely together and put their expertise to work, to keep up with constantly evolving technological and criminal trends and help make the world a safer place with leading investigative analytics software solutions.
We are defined by our dedication to doing good and this translates to business success, meaningful work friendships, a can-do attitude, and deep curiosity.
As an employee you will:
Own and lead end‑to‑end technical presales activities for Nexyte across assigned accounts and territories
Act as the primary technical and solution advisor for customers throughout the sales cycle
Lead customer engagements including solution workshops, product demonstrations, executive‑level presentations, and Proof of Concept initiatives
Drive RFI and RFP responses, including requirements analysis, solution design, sizing, and contribution to commercial strategy
Partner with Account Managers, Product, R&D, and Delivery teams to shape solution strategy, support sales execution, and feed field insights back into the product and GTM strategy.

Required DSP and Communication Algorithm Engineer
Israel, Herzliya
R&D
Full-time
Hybrid
Todays world is crime-riddled. Criminals are everywhere, invisible, virtual, and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough
Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.
For nearly 30 years, the incredible minds around the world have worked closely together and put their expertise to work, to keep up with constantly evolving technological and criminal trends and help make the world a safer place with leading investigative analytics software solutions.
We are defined by our dedication to doing good and this translates to business success, meaningful work friendships, a can-do attitude, and deep curiosity.
As an employee you will:
Research and develop advanced algorithms for signal processing and communication systems.
Design and implement communication protocols and direction-finding (DF) algorithms using MATLAB, Python, and C/C++.
Translate theoretical concepts into real-world solutions, from initial prototype to field-tested, production-ready systems.
Stay ahead of the curve by reviewing and applying the latest academic and industry research.
Collaborate with multidisciplinary teams to integrate your work into innovative intelligence platforms.

A self-motivated automation engineer with strong programming fundamentals, responsible for designing, writing, and maintaining automated tests across software, firmware, backend, frontend, and mobile - while owning the full automation infrastructure and CI pipeline.

You will design, write, and maintain automated tests covering backend services, frontend interfaces, and mobile applications, including software and firmware. You will own and evolve the automation infrastructure, the physical lab environment, test agents, and CI pipeline reliability, while collaborating closely with development engineers to build and run automated test suites, triage failures, and expand coverage as new features are introduced. Industry best practices such as POM (Page Object Model) and AAA (Arrange-Act-Assert) patterns will guide your work to ensure automation projects remain well-structured, maintainable, and scalable. Over time, you will deepen your product knowledge to broaden test suite coverage accordingly, contribute to internal tooling, and leverage generative AI tools to improve productivity across test development, documentation, triage, and reporting.

Responsibilities
Test automation framework design and development (Python, Pytest, Playwright).
Backend, frontend, and mobile test automation across multiple platforms, including iOS/macOS using XCTest.
Applying automation best practices: POM, AAA, and scalable project architecture.
Debugging and troubleshooting hardware and software issues.
CI/CD pipeline configuration and maintenance.
Lab infrastructure management.

We are looking for you to join our emulation team focusing on the creation, deployment, and support of advanced emulation environments. In this highly visible role, you will be at the center of a chip design effort collaborating with all disciplines, with a critical impact on getting functional products to millions of customers quickly.

As a senior emulation engineer, you will have the responsibilities as follows: Work closely with emulation, architecture and verification teams to create and enhance emulation environments. Work with the leading emulation vendors to debug issues and deploy new capabilities. Develop new emulation workloads and platforms to enhance user productivity . Develop high performance emulation models and transactors in system Verilog and C/C++ . Support multiple emulation environments using the latest emulation techniques Root cause failing SoC/Processor tests and emulator environment issues.

The Mechanical Engineer works closely with Hardware Engineering, Product Design, Electrical Engineering, and Process Engineering teams, leading design and analysis efforts across the product development cycle.

Responsibilities
Pioneering opto-mechanical designs for precision assemblies, translating ambitious concepts and optical requirements into manufacturable solutions with exacting tolerances.
Owning mechanical integration of optical components, sensors, and PCBs - encompassing fit, alignment, tolerance stack-up, and assembly sequence definition.
Partnering with Manufacturing and Process Engineering from early design stages to ensure concepts are grounded in process capability and scalable to mass production.
Leading FEM analyses across thermal, static, dynamic, and drop-test scenarios for small form factor consumer devices, ensuring structural integrity and durability under real-world conditions.
Conducting failure analysis (FA) to identify root causes and drive corrective design actions to resolution.
Driving end-to-end prototype builds, R&D setups, jigs, and fixtures in close collaboration with Process Engineering.
Defining and executing design verification and validation plans, and translating results into concrete design improvements.
Defining GD&T and collaborating with manufacturing partners to validate producibility, dimensional compliance, and process yield.
Leading design reviews, identifying risks early, and driving cross-functional resolution of complex mechanical challenges.

Play a part in shaping the future of human-computer interaction. As an MLOps Engineer, you will be the backbone of the machine learning infrastructure that powers our speech, audio, and conversational AI teams - ensuring their models are trained on the best possible data.
You will bridge the gap between research, data science, and engineering, owning the full ML lifecycle from large-scale data pipelines and distributed GPU training through to low-latency, high-fidelity inference and optimization. You'll partner closely with Audio ML Engineers, Speech ML Engineers, and ML Data Scientists to remove friction across their workflows and accelerate the path from research to product.

The MLOps Engineer will drive end-to-end quality and operational excellence across data ingestion, model training, deployment pipelines, and MLOps tooling for our speech and audio ML platforms. This hire will build, deploy, and optimize production-grade systems with a strong emphasis on scalable, GPU-accelerated infrastructure. You will own the training infrastructure that powers distributed and self-supervised model training on HPC and Slurm-managed clusters, as well as the inference pipelines that bring low-latency, high-fidelity audio and speech models to production. You will establish standard methodologies for model integration, deployment, monitoring, and reproducibility using CI/CD principles.

Responsibilities
Design, build, and operate large-scale data pipelines for proprietary audio and speech datasets - supporting curation, quality monitoring, and validation at scale alongside our ML Data Science team.
Partner closely with Audio ML Engineers, Speech ML Engineers, ML Data Scientists, and product teams to define metrics, gather requirements, and bring new capabilities to life.
Build and operate distributed GPU training workflows, including job scheduling and resource management on Slurm-managed HPC clusters, for both supervised and self-supervised methods.
Optimize model inference for low latency and high-fidelity streaming across serving environments, including optimization for Apple silicon.
Design and maintain automated pipelines for model training, evaluation, versioning, and deployment, with special attention to speech, audio, and signal-processing workflows.
Identify and resolve bottlenecks in ML and data workflows, improving system reliability, latency, and throughput at scale.