Job
In this role, you assist with the annotation and quality assurance of training data for machine learning, conduct end-to-end testing, and research new approaches in computer vision.
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Your role in the team
- As a working student in Software Engineering, you support the annotation and quality assurance of training data as well as the structured management of our datasets.
- You also contribute to the definition and evaluation of KPIs for assessing our models and assist in conducting end-to-end tests of the entire system pipeline.
- In addition, you research new approaches in the field of computer vision and compare them with existing solutions.
- Furthermore, you help to further develop our testing infrastructure and evaluation pipelines to ensure continuous quality assurance.
- Data Annotation & Dataset Management - Annotate and quality-check training data for object detection and end-to-end planner models, including bounding boxes, segmentation masks, and trajectory labels; maintain and version datasets to ensure consistency and traceability across model iterations.
- KPI Definition & Model Evaluation - Design, implement, and continuously improve KPIs to monitor and benchmark the performance of ML models deployed on UAVs and UGVs, covering metrics such as detection accuracy, latency, precision/recall, and robustness under real-world conditions.
- End-to-End System Testing - Execute and automate end-to-end integration tests of the full perception and planning pipeline on target hardware (Nvidia Jetson), identifying bottlenecks and regressions across the entire system stack.
- Research & Model Benchmarking - Independently investigate state-of-the-art publications and open-source models in computer vision, object detection, and autonomous systems; systematically compare novel approaches against our current solutions and document findings in a structured way.
- Tooling & Test Infrastructure - Contribute to the development of testing scripts, evaluation pipelines, and CI-friendly unit tests to ensure continuous quality assurance of deployed ML components.
Our expectations of you
Education
- Currently pursuing a degree in Computer Science, Software Engineering, Robotics, or a related technical field.
Qualifications
- Self-driven with the ability to manage your own tasks, prioritize effectively, and deliver results with minimal supervision in a fast-paced engineering environment.
- Strong ability to clearly communicate findings, test results, and research insights to both technical teammates and stakeholders; comfortable writing concise technical documentation and benchmark reports.
- Genuine enthusiasm for following the latest developments in autonomous systems, robotics perception, and ML - and the drive to bridge the gap between cutting-edge research and real-world deployment on robotic platforms.
Experience
- Solid hands-on experience in Python (NumPy, PyTorch/TensorFlow, OpenCV) and working knowledge of C++ for performance-critical or embedded applications.
- Familiarity with Nvidia Jetson platforms (e.g., Jetson Orin/Xavier), including experience with deployment workflows such as TensorRT, CUDA optimization, or similar edge inference toolchains.
- Practical experience with ML fundamentals and CV tasks such as object detection, image classification, or semantic segmentation; exposure to model training, fine-tuning, and evaluation workflows.
- Ability to translate high-level system requirements into measurable KPIs and structured unit or integration tests; experience with testing frameworks (e.g., pytest, Google Test) is a plus.
What we offer
- Flexible working hours: With trust-based working hours, you are not only responsible for your working hours, but also for your work-life balance.
- Mobile working: If it gets too turbulent for you in our office, you can get the necessary balance through mobile working.
- Stay active: With EGYM Wellpass, you get access to thousands of fitness and sports facilities - and of course, we subsidize the membership.
- Corporate Benefits: Your opportunity for attractive offers and discounts from well-known suppliers and brands, e.g. Adidas, Apple, Expedia.
- Employee events: We not only want to grow together, but also celebrate our successes together.
- Canteen: Be powerful with delicious energy, daily lunch budget is sponsored.
- Company Shuttle: Enjoy our convenient shuttle service that picks you up from Laim in Munich and brings you to our location, with return trips at the end of the workday.
Benefits
Work-Life-Integration
Topics you will work on
Job locations
About your employer
Quantum-Systems GmbH began focusing on the development and production of autonomous transition aircraft for civilian purposes in January 2015. This was a smart move that has positioned the company as a leader in this growing industry. Autonomous transition aircraft are an important part of the future of aviation, and Quantum-Systems GmbH is at the forefront of this exciting new technology.
- 50-249 Employees
- English
- Established Company
- Onsite, Hybrid, Full Remote
- Industry, Production · Aviation, Space Travel
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