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As an Integration System Engineer in the Imaging Technologies team, you will own the end‑to‑end integration of a multidisciplinary medical device, from early design through validation and release.

You will lead system-level bring-up, define and execute integration strategies, and ensure robust interaction between mechanics, electronics, optics, and software.

This role emphasizes hands-on integration, performance analysis, and cross-functional alignment to deliver a high-quality, production-ready scanner.


Key Responsibilities

System Integration Ownership
Own system integration across all subsystems (mechanics, electronics, optics, software) and ensure a stable, testable, and scalable product.
Lead system bring-up, integration flows, and configuration management across development stages.
Identify interface gaps, define integration requirements, and drive closure with relevant teams.

Performance & Testing
Design and execute system-level experiments to evaluate performance, stability, and reliability.
Develop tools and automation for data collection, analysis, and debugging.
Define integration and verification test strategies, including acceptance criteria and coverage.

Problem Solving & Debug
Lead root-cause analysis of complex cross-domain issues.(HW/FW/SW/optics interactions).
Drive containment, corrective actions, and long-term fixes.
Ensure issues are resolved with clear documentation and learning capture.

Cross-Functional Leadership
Work closely with R&D disciplines, QA/RA, and manufacturing to align on system behavior and requirements.
Translate system-level needs into actionable specifications and integration plans.
Act as the technical focal point for integration-related decisions and trade-offs.

Process & Methodology
Establish and improve integration processes, methodologies, and best practices.
Introduce new tools, capabilities, and approaches to increase integration efficiency and quality.
Ensure proper documentation of integration flows, configurations, and test results.

Team Leadership & Mentorship
Mentor junior engineers and guide student contributors.
Assign and review tasks with a strong focus on quality, rigor, and engineering discipline.

Do you want to join an international team within an innovative fast-paced medical device company? Grab the opportunity and make good use of your Mathematical and programming skills and affinity to medical device.

Key Responsibilities
You will deal with imaging, 3D modeling, surface reconstruction, image processing and high-performance computing.
You will understand the products and the customer needs.
You will research and analyze the underlying problems using real data.
Design and test algorithms in C++ and Python.
Implement algorithms in C++, and integrate them into the application.
Work closely with other members of the algorithms team and members of other groups such as physics and electronics.
Participate in design reviews and code review of co-developers.

At our company, you'll contribute to developing system solutions that address complex, multi-disciplinary challenges across domains ensuring alignment with our products UX goals and vision for scalable growth.
What Were Looking For?
We are seeking a passionate and experienced Full Stack Team Leader to lead and grow our Digital Twin Platform team. This is a hands-on leadership role combining technical expertise, strategic thinking, and team mentorship to drive the development of end to end solutions for our digital twin web platform.
Responsibilities
As the Full Stack Team Leader, you will be responsible for:
Lead and grow a high-performing team of full-stack software engineers while maintaining an active hands-on technical contribution to the codebase.
Collaborate closely with cross-functional teams, including software engineers, algorithms developers, product managers, and QA, to deliver end-to-end solutions.
Drive end-to-end execution: from receiving product requirements to delivery, through implementation, deployment and monitoring.
Take part in planning the product roadmap and sprints to translate the product vision into actionable engineering plans.
Guide and mentor team members to ensure they deliver exceptional results by setting a high bar for code quality and promoting software development best practices.
Continuously drive the improvement of developer experience and the efficient adoption of AI development tools.

This is an incredible opportunity for a passionate entry-level engineer or final-year B.Sc. student to kickstart their career and help shape the future of Digital Twin technology.

In this role, you will help design, implement, and optimize machine learning and computer vision models to process and extract insights from data captured by autonomous drones. Youll be mentored by industry experts, taking algorithms from theoretical concepts to real-world impact on a global scale. If you are a fast learner who loves solving complex mathematical and visual problems, we want to hear from you!

Job Description:

Hands-on Development: Assist in developing algorithms to solve challenging computer vision problems, helping automate survey analysis and drone flight planning.
Write Production-Ready Code: Bridge the gap between a Jupyter Notebook and real software. Youll write clean, modular Python code and integrate your solutions into our product pipelines.
Implement Modern Methods: Adapt and optimize state-of-the-art Deep Learning models (object detection, segmentation) for our massive drone imagery datasets.
Analyze & Experiment: Run feasibility studies, evaluate model performance, and help clean and curate high-quality datasets for training.
Learn & Grow: Work within an agile team of experts, adopting cutting-edge software development methodologies and iterating based on real-world feedback.