Machine learning engineer • pullach an der isar
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 ... Mehr anzeigen
The Exterior Studio Engineer bridges the gap between Automotive Design and Engineering, ensuring that exterior design concepts are transformed into technically feasible, manufacturable, and product... Mehr anzeigen
Consultant * GenAI and Machine Learning (all Levels).Berufserfahrung (Junior Level).Berufserfahrung (Senior Level).Branchen-/Themenübergreifende Beratungsmandate | Teamgefühl von Tag 1 | Arbeiten a... Mehr anzeigen
Engineer, Software Machine-Vision C++ (m/w/d).Gemeinsam mit dem Team Entwicklung von Machine-Vision-Software.Erarbeitung innovativer Lösungen – von der technischen Studie über die Implementierung u... Mehr anzeigen
As a working student you will have the opportunity to substantially shape the learning experience for Brainlab customers and personnel.You will be part of the Digital Learning team, which strives t... Mehr anzeigen
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Werkstudent (w/m/d) Learning & Development.Wir gehören zu den weltweit führenden Unternehmen in den Bereichen Orthopädie, Arthroskopie, Sportmedizin und Orthobiologika.Getreu unserer Mission 'Helpi... Mehr anzeigen
Attraktive und leistungsgerechte Gehaltskonditionen.Umfangreiches Mitarbeiter-Benefit-Programm Orizon PlusPunkte.Passende Fortbildungsmaßnahmen im Rahmen Ihrer Tätigkeiten.Persönliche Betreuung und... Mehr anzeigen
Machine-Vision Software Engineer (m/w/d) .Für unseren Kunden einen Innovations- und Technologieführer im Bereich Smart Factory suchen wir Sie!.Gemeinsam mit dem Team Entwicklung von Machine-Vision... Mehr anzeigen
Strong backend or infrastructure engineering experience, ideally in fast moving B2B SaaS startups.At least 45 years of experience with web technologies using JavaScript or TypeScript.Excellent Engl... Mehr anzeigen
Applied Biometrics Software Engineer (m/w/d).Gestalten Sie mit uns die digitale Zukunft! Wir suchen Persönlichkeiten mit Teamgeist, die unsere Leidenschaft für den Schutz von Identitäten und Daten ... Mehr anzeigen
Du entwickelst moderne, skalierbare Machine Learning-Lösungen auf der Google Cloud.Du setzt Python ein, um Machine Learning-Modelle in produktionsbereite Daten-Pipelines zu integrieren.Du übersetzt... Mehr anzeigen
Du bist maßgeblich daran beteiligt, wenn wir spannende Lösungen in den Bereichen.Lösungen für maschinelles Lernen unter Verwendung von.AWS-, GCP- und/oder Azure-Diensten und -Tools.Entwickle in Koo... Mehr anzeigen
Most people are familiar with the term PAYBACK.We would like to introduce ourselves to you in more detail.You probably know PAYBACK – either from the question at the checkout or through our widely ... Mehr anzeigen
We are a team of 4 motivated people with +25 years of experience in industry and robotics.Our mission is to make robots smarter and more flexible, enabling batch-size-1 automation for surface treat... Mehr anzeigen
Unser internationales Team entwickelt maßgeschneiderte End-to-End-Lösungen unter Einsatz von Machine Learning für unsere Kunden.Dabei decken unsere Projekte den gesamten Lebenszyklus ab, von der er... Mehr anzeigen
Akkodis ist ein globales Beratungsunternehmen für Digital Engineering, das Technologie und Talente zusammenbringt, um Transformation zu beschleunigen, Innovation voranzutreiben und eine intelligent... Mehr anzeigen
Bringen Sie Ihre Karriere ins Rollen!.Das ist unsere Überzeugung und unser Motto:.Als Partner beraten wir Sie vom Eingang Ihrer Bewerbung über die Auswahl geeigneter Einstiegsmöglichkeiten bis zur ... Mehr anzeigen
You are native English speaker.You have proof of German language skills at a B1 level or higher.You are flexible, dedicated and reliable.You are respectful and empathic towards others.You are prepa... Mehr anzeigen
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.
Strong proficiency in C++ and/or Rust, plus solid Python skills.
Proven experience deploying ML components in real autonomous or robotics systems.
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.
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.
