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We are looking for a Senior RT Embedded Engineer to join our design and development team, responsible for the full-cycle development of an innovative 4D imaging radar for the automotive sector. You will take a lead role in design and implementation of real-time software for a multi-core automotive SoC platform, consisting of embedded cores, DSPs and dedicated accelerators.

What will you do?
Be part of full-cycle development of embedded SW for innovative automotive radars.
Take a lead role in embedded system SW design and implementation on the industrys cutting-edge embedded SoC.
Integrate the teams SW over the real-time embedded controller. Bring SW to validation readiness to the validation team. Bring SW to the test vehicles.
Specify and balance system-SW requirements to achieve the run time restrictions of the compute platform.
Work in collaboration with the CTO and Algorithms team.

We are looking for a Senior DSP Software Engineer who will lead design and implementation of our innovative signal processing algorithms on the industry cutting-edge target platform, consisting of embedded cores, DSPs, and dedicated accelerators.

What will you do:
Perform analysis, design, implementation and validation of innovative MIMO imaging radar algorithms for next generation ADAS and autonomous
vehicles on our target platform.
Participate in SW architecture design and perform signal processing algorithm porting & optimization.
Address real-time constraints in a challenging memory/compute bound framework.
Be part of a goal-oriented workgroup and dynamic research & development environment.
Work in close collaboration with CTO and SW architecture team.

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 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.

Eitan Medical is an international Medical Device company that develops and manufactures innovative medical equipment. Specifically, we develop infusion pumps and their related accessory products. Job Description: Eitan medical is looking for a highly motivated Software QA Engineer with strong manual testing capabilities, hands-on automation experience, and practical usage of AI tools for software quality and testing activities. As part of the Digital Health Department, you will be responsible for designing, planning, and executing test scenarios for complex medical software systems. The role combines manual testing, automation development, backend/API validation, and AI-assisted QA workflows to ensure high-quality and reliable products used in real-life patient care. You will work closely with R&D, Product, and System Engineering teams in a dynamic and fast-growing environment. Direct Manager: Digital Health SW QA Team Leader

We are seeking a highly motivated V2X Customer Engineer to join our Customer Engineering team. The successful candidate will serve as a trusted technical advisor to automotive OEMs, Tier-1 suppliers, module vendors, and ecosystem partners developing products based on our V2X solutions.

Our team is deeply technical and engineering-driven. In addition to customer-facing activities, Customer Engineers actively develop software, tools, demonstrations, proof-of-concepts, and reference solutions that help customers successfully evaluate, integrate, validate, and deploy V2X technology.

The role combines customer interaction, system engineering, software development, troubleshooting, and innovation, allowing engineers to influence both customer success and product evolution.

Key Responsibilities

Customer Technical Leadership

Act as the primary technical interface between customers and our engineering teams.

Support customers throughout the product lifecycle, from evaluation and design through validation and production.

Lead technical discussions, design reviews, architecture assessments, and integration activities.

Understand customer applications, requirements, and deployment scenarios, and provide expert technical guidance.

Support customer field trials, interoperability events, demonstrations, and production programs.

Engineering and Development

Design and develop software tools, and applications that enhance customer adoption of our V2X technologies.

Develop and maintain demo applications, proof-of-concepts, and engineering prototypes used for customer engagements, industry events, and internal validation.

Implement customer-specific adaptations, reference implementations, and integration examples that accelerate development and reduce technical risk.

Create automation solutions for testing, validation, diagnostics, data collection, and performance analysis.

Contribute code, bug fixes, and feature enhancements to internal software projects when required.

Technical Problem Solving

Reproduce, analyze, and resolve complex system-level issues spanning software, hardware, RF, networking, security, and standards compliance.

Drive root-cause investigations in collaboration with engineering teams.

Analyze logs, traces, packet captures, and field-test results.

Develop workarounds, reference solutions, and validation methods for customer issues.

Product and Ecosystem Support

Provide technical training, workshops, and hands-on enablement activities.

Support interoperability testing with ecosystem partners.

Gather customer feedback and communicate requirements and market insights to Product Management and Engineering.

Contribute to technical documentation, application notes, training materials, and best practices.

As Chief Architect, you will lead cross-group technical efforts, head the Architect Guild, and lead the department's AI enablement and transformation efforts. You will serve as a technical consultant and see the large picture of technology stack and its architecture. Our technology stack is built to handle significant complexity, integrating advanced AI, Data Science, and algorithmic optimization with robust infrastructure - ranging from cloud-native K8s and Serverless deployments to specialized Mobile and Embedded systems

This is not a docs and slides position, were looking for an architect who wishes and can stay hands-on and be able to dive into multidisciplinary complex issues and independently solve them. You will work closely with R&D leads and engineers to ensure engineering best practices and excellence.

You'll work end-to-end: agent design, tool implementation, retrieval quality, integration into existing product UIs, cloud infrastructure, and evaluation/observability. The platform already ships to customers - you'll extend it, raise its quality bar, and help define where it goes next.

What you'll do

Design and evolve agents - build LLM agents with tool use, routing, and human-in-the-loop flows.
Implement tools and integrations - expose product capabilities to the agent, with multi-tenant context, via internal APIs and MCP servers.
Own retrieval quality - contribute to our RAG pipeline end-to-end: ingestion, embeddings, vector search, and reranking.
Define and evolve host integration contracts - collaborate with host application teams to integrate the assistant into product UIs built on different frontend stacks. You own the shared remote module and the integration API; host teams own their stacks.
Drive evaluation-led development - write evaluators (rule-based, LLM-as-judge, multi-turn), maintain CI eval gates, and use traces and feedback to debug production behavior.
Operate the platform - own deployments, observability, and the performance and cost of LLM-backed services.
Establish engineering practices** for AI-specific work: prompt versioning, eval coverage, testing, and code review.

we are an international Medical Device company that develops and manufactures innovative medical equipment. Specifically, we develop infusion pumps and their related accessory products.
Job Description:
we are looking for a highly motivated Software QA Engineer with strong manual testing capabilities, hands-on automation experience, and practical usage of AI tools for software quality and testing activities. As part of the Digital Health Department, you will be responsible for designing, planning, and executing test scenarios for complex medical software systems. The role combines manual testing, automation development, backend/API validation, and AI-assisted QA workflows to ensure high-quality and reliable products used in real-life patient care. You will work closely with R&D, Product, and System Engineering teams in a dynamic and fast-growing environment.
Direct Manager: Digital Health SW QA Team Leader.

Were looking for a Principal Backend & Data Engineer to own and evolve the core data-intensive backend architecture of our AI platform. This is a senior individual contributor role with broad architectural responsibility and deep hands-on impact.

You will be a technical authority in building scalable, high-performance backend and data systems that power our AI research engine - working closely with AI scientists, platform engineers, and product leaders. Beyond implementation, you will define technical direction, set engineering standards, and influence how we build and scale data-driven AI systems across the organization.

What Youll Do
Architecture & Technical Ownership

Own the architecture of core backend and data systems that support large-scale, AI-driven computation and inference.
Design and evolve high-performance analytical processing layers handling complex data workloads at scale.
Make and drive long-term architectural decisions across backend, data, and AI integration domains.
Define standards and best practices for performance, scalability, reliability, and data correctness.
Backend & Data Engineering

Design, implement, and optimize data-intensive backend services using Python.
Build and evolve analytical compute pipelines using technologies such as Polars, DuckDB, AirFlow, Iceberg, Spark and other ingestion and processing frameworks.
Collaborate closely with AI scientists to productionize algorithms and embed advanced intelligence into the platform.
Platform & Infrastructure

Architect and maintain containerized systems using Docker and Kubernetes.
Ensure systems are observable, debuggable, and operable in production environments.
Drive performance tuning and cost-efficiency across compute-heavy workloads.
Technical Leadership

Act as a technical authority and thought leader within the engineering organization.
Mentor senior engineers through design reviews, architectural guidance, and hands-on collaboration.
Serve as a force multiplier by unblocking complex technical challenges and raising the overall engineering bar.

Were looking for an experienced Product Analytics Manager to play a key role as part of the Product organization. The Product Analytics Manager will lead the domain and work closely with Product, R&D, Sales and Marketing, Customer Success, and BI to drive data-informed product and business decisions.
Key Responsibilities
Define product success metrics, usage benchmarks, and adoption KPIs across products and customer segments, ensuring alignment with clinical and business impact goals.
Own the end-to-end product analytics framework - including event design, tracking strategy, data validation, and ongoing data quality monitoring.
Perform hands-on deep-dive analyses, working directly with raw data and collaborating with R&D and BI to ensure robust data models, pipelines, and instrumentation.
Partner with Customer Success and BI to deliver customer-centric insights and support the evolution of the product data infrastructure.
Build dashboards and analytical models to support product and business decision-making, evaluate feature performance, and establish a continuous feedback loop between user behavior and product development - using data-driven insights to challenge assumptions and prioritize high-impact roadmap initiatives.
Quantify the clinical and economic impact of solutions by analyzing real-world encounter data to validate key performance markers such as reduction in cost of care, improved patient outcomes, and product utilization.
Translate complex analyses into clear, actionable recommendations for technical and non-technical stakeholders.
Provide professional leadership in analytics, including team management (if applicable) and contributing to the growth of the analytics function.

Were looking for an AI Algorithms Manager to lead the development of advanced algorithms in the telehealth domain, with a direct impact on how care is delivered and experienced.
In this role, youll lead a team of algorithm developers, drive algorithmic work end-to-end, from problem definition and data exploration to model development, evaluation, and integration into real-world systems. The work focuses on developing AI capabilities in computer vision, signal processing and LLM domains to tackle complex challenges and turn them into reliable, production-ready solutions.
Key Responsibilities:
Lead algorithmic development end-to-end- from shaping the technical problem and defining data needs to development, architecture, validation, and implementation
Drive innovation and infrastructure initiatives to advance the solution in alignment with the latest scientific progress
Stay hands-on in research and development, actively contributing to core algorithms and solving complex technical challenges
Design, develop, and optimize models using machine learning, computer vision, and signal processing techniques
Guide the work of team members, providing technical directions, feedback, and support
Collaborate with cross-functional teams (engineering, product, clinical) during problem definition, solution design and smooth integration into production systems
Ensure robustness and reliability through proper evaluation, validation, and continuous improvement of models
Promote best practices in development, experimentation, and code quality

We are looking for
For our C4I and Cyber division in Netanya, we are looking for an experienced Technical Product Manager to join a groundbreaking Command & Control (C4I) project. This is an opportunity to take part in shaping the next generation of advanced defense systems, working in a multidisciplinary, fast-paced and highly impactful environment.
You will lead the definition, management and development of an innovative operational system for an Israeli customer, from early concept and planning stages through delivery and deployment. If you are passionate about complex systems, technological innovation and driving meaningful processes across multiple engineering domains - this role is for you.
In this role you will
Lead the characterization, management and development of a next-generation defense system in a multidisciplinary environment
Work as part of an experienced and diverse system engineering team
Lead cross-functional processes involving product requirements, software design and integration of broad system capabilities in an on-prem based solution
Lead Agile development processes from requirements definition through customer delivery, including matrix management of software and QA teams
Integrate best-practice solutions from the commercial world to support innovation and technological advancement
Drive the integration of advanced AI capabilities into engineering workflows and product features
Lead and support deployment process improvements and scalable secure architecture solutions
Work closely with engineering customers and
operational end users as part of an IPT environment.

We are looking for an experienced and leadership-oriented ATE Software team leader to lead our software ATE development team. In this role, you will manage a team of software engineers, overseeing the design and execution of advanced ATE software for electronic cards and calibration systems used in our cutting-edge AESA radar technology The ideal candidate will combine strong software management skills with a deep understanding of RF systems and hardware-software integration. Key Responsibilities:
* Lead, mentor, and manage a team of ATE software engineers.
* Lead the design and development of automated TEST software for electronic cards and radar calibration.
* Oversee the full software development lifecycle, from requirements definition to deployment on the production line.
* Collaborate closely with Hardware, system, and RF engineers to ensure seamless integration of software with complex testing equipment.
* Drive technical excellence, code quality, and the implementation of best practices within the team.
* Manage project timelines, milestones, and resource allocation to meet delivery goals.

The position is based in Netanya, with occasional travel required to the production facility in Beit She'an.