Job
- Level
- Senior
- Job Field
- Software, Embedded
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Onsite
Job Summary
In this role, you will develop core components for autonomous systems, design perception and planning modules, and integrate sensors to enable effective control of unmanned vehicles.
Job Technologies
Your role in the team
- As a Senior Robotics & Machine Learning Engineer, you will shape the next generation of autonomous ground systems.
- You will design and implement core components of our end-to-end autonomy stack - from perception and prediction to path planning and vehicle control.
- Your work enables reliable operation of unmanned ground vehicles (UGVs) in challenging environments, including GNSS-denied areas, off-road terrain, and multi-vehicle convoying.
- You will collaborate closely with experts across software, hardware, and mission systems to integrate the right sensors, algorithms, and architectures into robust field-ready platforms.
- Your contributions directly support Quantum-Systems' mission to set the benchmark for multi-domain autonomous systems.
- Develop perception modules (object detection, tracking, pose estimation) for precise autonomous vehicle behavior.
- Build and integrate the full autonomy stack: perception, prediction, planning, and control for diverse ground platforms.
- Design multi-sensor fusion setups (camera, LiDAR, radar) for resilient operation in all environments.
- Implement high-performance software pipelines for real-time sensor processing.
- Validate autonomy functions using real-world data and advanced simulation.
- Collaborate with mission-control teams (e.g., MOSAIC) and vehicle platform teams to ensure seamless integration.
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Our expectations of you
Qualifications
- Starke Kenntnisse in C++ und/oder Rust sowie solide Python-Fähigkeiten.
- Expertise in embedded systems and high-performance robotics software.
- Ability to guide AI-assisted development tools effectively.
- Technical leadership: breaking down complex autonomy challenges into clean, reliable solutions.
- High quality standards: testing, code reviews, CI/CD, documentation.
- Collaborative mindset and confidence in supporting teammates.
- Ownership mentality - driving technology from prototype to deployed capability.
- Comfortable communicating in English in a technical environment.
Experience
- Proven experience deploying ML components in real autonomous or robotics systems.
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What we offer
- Direct impact: See your contributions rapidly integrated from cutting-edge research into industrialized products, flying in the field within short development cycles.
- Culture & Environment: A dynamic, fast-paced, and collaborative startup environment with flat hierarchies, efficient collaboration, and a strong emphasis on continuous learning opportunities.
- Work-life Balance: We offer flexible work schedules, and 30 days of paid vacation each year to support your personal and professional life.
- Lunch Benefit: We promote healthy eating and the well-being of our employees with a monthly lunch budget.
- Health & Wellness: We support your physical well-being with a company-subsidized eGym Wellpass membership, giving you access to thousands of gyms and sports facilities.
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About 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
Senior Robotics & Machine Learning Engineer
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
