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Were looking for someone who leads by example, thrives in cross-functional environments, and is passionate about scalable, intelligent systems.



Key Responsibilities

Take a proactive role in a business-driven Squad and own your domain
Design, implement, test, deploy, and monitor backend infrastructure and business features
Maintain high-quality standards and write readable, testable, modular, and maintainable code
Build tools and processes to improve and accelerate our development lifecycle and take our road safety solutions to the next level
Collaborate while sharing your knowledge with other team members throughout the R&D
Guide and mentor engineers across teams, fostering collaboration and elevating technical standards
Take ownership of backend infrastructure initiatives, from design to implementation, with a focus on scalability, maintainability, and system performance
Contribute to the adoption and integration of Generative AI tools and practices to enhance developer productivity and code quality
Shape core infrastructure decisions and lead backend architecture at scale
Act as a multiplier for engineering excellence through strong cross-functional collaboration

As Director of Data & AI, youll own central data organization consisting of three high impact teams (Data Engineering, Data Science, ML/Computer Vision). Youll set the strategy, drive execution, and ensure our data pipelines and AI models deliver world-class, low-latency insights. Youll partner with software and hardware engineering, product, sales, and external partners to expand data and vision capabilities and maintain our leadership in roadside intelligence. Youll ensure that data and AI efforts are aligned with product goals and contribute to broader company impact, from customer value to operational efficiency.



Key Responsibilities

Lead & Mentor: Manage and grow three teams (~ 20 engineers & scientists) across multiple locations (Israel, US, Europe).
Strategic Roadmap: Define and prioritize quarterly roadmap in collaboration with Product and Executive Leadership.
Cross - Functional Alignment: Collaborate with software, hardware, and partner teams to integrate data pipelines and deploy AI models.
Stakeholder Communication: Serve as the primary voice of Data & AI - presenting roadmaps, vision, metrics, and outcomes to executives and external partners.
Drive state of the art computer vision research and productization.
Architecture & Scalability: Ensure data platforms (batch and streaming) are secure, reliable, and scalable - leveraging AWS, Kubernetes, Terraform, etc.
Data Governance & Security: Ensure high standards for data quality, privacy, and compliance practices across all pipelines and models.

Our smART+™ platform is a sensor-based feeding system for intensive care unit (ICU) patients. It aims to prevent life-threatening complications such as ventilator-associated pneumonia, malnutrition, and acute kidney injury. We recently introduced Nutrition Management 2.0™, which is a comprehensive, guideline-driven approach that aims to improve nutrition while reducing feeding complications. Combined with our smART+™ platform, it monitors, analyzes, and prevents malnutrition and gastric aspirations in real time. By improving nutrition and achieving 100% feeding efficiency, the smART+™ platform greatly reduces hospital-acquired complications and speeds up ICU patient recovery. We are looking for an AWS Backend Developer to join our interdisciplinary group of software, firmware, and hardware engineers. Role & Responsibilities:
* Being part of a unique R&D team developing medical services over cloud-based platforms.
* Research and implement state of the art tools, methodologies and design patterns in the fields of cloud, high performance and distributed computing.
* Architecture, design and developing micro-services based on Java and Python.
* Collect clinical data pipelines from multiple sources — inside and outside clinical settings — that will provide valuable insights about patients

We are seeking a talented and experienced Machine Learning Engineer who will be responsible for designing and applying new machine learning techniques for computer vision applications.

Role and Responsibilities

Design, integrate, and evaluate new deep learning techniques/Models to improve the accuracy of the core software product
Develop techniques to clean/refine our dataset used for training
Help guide the workflow for collecting and annotating data by our team of data entry specialists
Design and implement algorithmic/Agent logic associated with Computer Vision Models.
Test performance/accuracy of model changes
Customize models via Neural Architecture Search to best fit the application
Implement training code in Python and PyTorch Framework