Job
- Level
- Senior
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Göppingen
- Working Model
- Full Remote, Onsite
Job Summary
In this role, you prepare datasets, train and validate ML models, and deploy them on UAVs, UGVs, and USVs to enhance autonomy and develop innovative applications in the robotics field.
Job Technologies
Your role in the team
- As an ML Engineer (m/f/d), you will be a key contributor within our development team. Your responsibilities include preparing and selecting data, training and validating models, as well as deploying them on real embedded UAVs, UGVs, and USVs to enhance their capabilities.
- You will work within a world-class team to help push the boundaries of autonomous drone technology.
- In this role, you collaborate closely with stakeholders from hardware development, testing, production, and customer operations, driving continuous improvements in the autonomy of our UxV platforms.
- By advancing intelligent autonomy, you will actively support Quantum Systems' mission to set the benchmark for next-generation UxV solutions.
- Within this advertisement, we are open to hiring people with the following profiles:
- ML Engineer (Generalist)
- Proven track record designing and training deep learning models for production use
- Experience with model optimization for resource-constrained environments (quantization, pruning, distillation)
- Deep expertise in computer vision architectures or VLAs Architecture
- ML Platform Engineer (MLOps)
- Experience building and maintaining ML training and inference pipelines
- Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
- Experience with GPU cluster management and high-performance computing environments
- Data Engineer (Geospatial Data & Sensor Fusion)
- Experience managing large-scale datasets, including geospatial, image, or sensor data
- Vertrautheit mit drohnengenerierten Datentypen (Bilddaten, LiDAR, Telemetrie, Flugdatenlogs)
- Experience with data quality assurance, annotation workflows, and labelling platforms
- Experience with generation of synthetic data and simulation
This text has been machine translated. Show original
Our expectations of you
Education
- You hold a degree in Computer Science, Artificial Intelligence or a related engineering discipline.
Qualifications
- You bring proficiency in at least one programming language (Python, Rust, C++).
- You are passionate about solving complex technical challenges and enjoy improving real, hands-on UxV products through your work.
- Due to your open, communicative, friendly, and competent attitude, it is easy for you to be regarded as an internal expert.
- You are highly self-motivated and drive your area of responsibility independently.
- Communication in English is a matter of course for you.
This text has been machine translated. Show original
What we offer
- We believe in the power of combined efforts: straightforward tech expertise paired with a customer-centric focus.
- We are industry pioneers who are ambitious, bold, and visionary.
- We push limits, think outside-the-box and strive for technological excellence to shape the future of aerial data.
- We promise to be your runway for individual and professional growth.
This text has been machine translated. Show original
Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Quantum-systems Gmbh
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.
Description
- Company Size
- 50-249 Employees
- Language
- English
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Industry, Production, Aviation, Space Travel