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our company is a fast-growing global medical device company, developing and manufacturing innovative drug delivery and infusion solutions across the continuum of care- from the hospital to the home. We are looking for an excellent Research Engineer to join the R & D team. Job Description Lead novel research in state-of-the-art technologies - bypass technological borders Lead departmental tasks that include problem solving and critical/root cause analysis Algorithms development for various system components Design and implementation of experiments for various projects Manage mutual research projects done and universities around the world

DRS RADA is a global pioneer of RADAR systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance. We are looking for ATE Software Engineer As a Software Automatic Test Equipment Engineer, you will play a vital role in developing and maintaining advanced Automatic Test Equipment (ATE) software for electronic cards and calibration systems used in our cutting-edge Active Electronically Scanned Array (AESA) radar technology. You will collaborate closely with a multidisciplinary team to ensure the functionality, accuracy, and performance of our ATE systems. Key Responsibilities:
* ATE Software Development: Design, develop, test, and maintain software for Automatic Test Equipment used in electronic card testing and AESA radar calibration.
* Integration: Collaborate with hardware engineers to integrate ATE software with testing equipment and devices, ensuring seamless operation.
* Debugging and Troubleshooting: Identify and resolve software issues, system failures, and compatibility problems to ensure optimal ATE performance.
* Documentation: Maintain accurate and up-to-date documentation.
* Quality Assurance: Implement quality control measures to ensure that ATE software meets industry standards and complies with project requirements.
* Team Collaboration: Work closely with cross-functional teams, including hardware engineers, software developers, and project managers, to meet project milestones and objectives.
* Continuous Improvement: Stay up-to-date with industry trends and emerging technologies, and contribute to the ongoing improvement of ATE software and testing methodologies.

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.

Responsibilities
Support the maintenance and organization of the Design History File (DHF) documentation.
Assist in completing documentation required for product releases in compliance with FDA, CE, ISO, and internal procedures.
Provide administrative support for design control activities throughout the product development lifecycle.
Support documentation related to software validation and traceability.
Assist in preparing documentation for audits and regulatory submissions.
Ensure documentation is accurate, complete, and properly filed in internal systems.

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.

The System Administrator is a one-man-show responsible for the execution of all IT activities, managing internal and customer-facing IT projects, including planning, coordinating and executing, and participating in multi-group projects.

Specific Responsibilities:
Be the key go-to person for IT needs / projects.
Execute IT activities per company IT/security policies & workplan.
Administer and manage AzureAD (Entra), Office 365, and Exchange Online
Maintain cloud storage privileges & configuration and backup of SharePoint, G-Suite, etc.
Manage endpoints using Intune, JAMF, and additional MDM tools
Provide IT support for end-users such as the company employees globally and external sub-contractors, service providers, and partners, including help-desk services.
Manage the IT infrastructure of the IL office, including network infrastructure, working desks, conference meeting rooms, intercom, alarm & security cameras system, IoT equipment, etc.
Manage software/HW purchases & licenses and IT inventory of the company across offices.
Work with different IT suppliers to perform infrastructure projects and for support escalation.
Be part of the security incident response team.
Establish and implement new IT processes.

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 our 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 our 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.