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Rapid Medical is a fast-growing medical device company focused on developing, manufacturing, and selling innovative devices for endovascular interventional procedures. We are seeking a talented QA/RA Engineer to join our quality and regulatory team, playing a dual role that ensures our products meet the highest quality standards while navigating complex global regulatory requirements.
SCOPE & RESPONSIBILITIES Quality Assurance • Manage ECOs: conduct risk assessments, update relevant DMR documents and carry out necessary IQ, OQ, PQ activities if required, finalization of implementation tasks. • Manage DCOs in the PLM system: write and update QA procedures to ensure compliance with quality standards and regulatory requirements. • Manage NCR and CAPA processes: lead, write and supervise the NCR and CAPA processes, ensuring timely and effective resolutions. • Manage QA production activities: provide quality support to production operations, addressing deviations and non-conformities to maintain high product quality. • Ensure timely resolution of quality issues: promptly address all identified or assigned quality issues to prevent delays and maintain efficient operations. • Participate in internal and external audits, such as FDA inspections and notified body audits based on ISO 13485, EU MDR, and MDSAP requirements. • Supplier Quality Management: manage supplier qualification and performance monitoring, including SCAR management, and support supplier audits.
Regulatory Affairs • Prepare, coordinate, track, and follow up on submissions for medical devices across various international markets. • Prepare and manage EU MDR technical documentation submissions. • Oversee CER, PMS, and PMCF activities, including customer complaints, vigilance, and recall. • Participate in regulatory inspections and audits. • Prepare regulatory assessments for design changes. • Develop labeling according to applicable regulatory requirements. • Evaluate and communicate regulatory impact of ECOs and design changes across QA and RA domains.

we are an agile defense-tech startup tackling the most complex challenges in counter-drone and uncrewed defense. With hundreds of combat-proven systems deployed by the IDF and global partners, we are now engineering the next generation of C-UxS (Counter-Uncrewed Systems). We leverage advanced electronic warfare and kinetic measures to detect and neutralize hostile threats. If you want to push technological boundaries while safeguarding Israel and our allies, join us at this pivotal stage of our growth.
This is a unique opportunity to join a company at a pivotal growth stage and help shape its products, culture, and future.
We are seeking a highly skilled C++ Software Engineer to join our fast-paced startup team. In this role you will join a high-performance, robust C++ software development team, with opportunities to contribute in Python for tooling, prototyping, and data processing. You will work on algorithmic challenges spanning GNSS, signal processing, computer vision, and geospatial data.
Responsibilities
Design and implement high-performance C++ software, with emphasis on real-time, efficient, and reliable code.
Develop and optimize algorithms related to GNSS, signal processing and geospatial analysis.
Use Python for prototyping, automation, and analysis tools.
Collaborate with cross-functional teams including hardware, research, and product.

we are an agile defense-tech startup tackling the most complex challenges in counter-drone and uncrewed defense. With hundreds of combat-proven systems deployed by the IDF and global partners, we are now engineering the next generation of C-UxS (Counter-Uncrewed Systems). We leverage advanced electronic warfare and kinetic measures to detect and neutralize hostile threats. If you want to push technological boundaries while safeguarding Israel and our allies, join us at this pivotal stage of our growth.
If you're looking for a role that combines deep technology, ownership, and real-world impact - this is your opportunity.
You'll work on 0→1 development of next-generation computer vision capabilities, addressing operational challenges for which no proven solutions currently exist.
Key Responsibilities:
Drive end-to-end computer vision solutions from concept and research through deployment and operational validation
Develop detection, classification, and tracking algorithms
Improve performance on small and distant aerial targets
Build and maintain training datasets and evaluation tools
Optimize models for real-time operational performance
Collaborate with software, hardware, and systems engineering teams.