SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
As a Senior Perception Engineer, you ll develop core components of SE3 s perception stack, including object detection, tracking, semantic se
The Inference Foundation team owns the core of Mistral s inference stack: the inference engine and its orchestration, from the feature set a
TYTAN Technologies The PACE is fast.
The AI Teams at Agile Robots are looking for a Senior Machine Learning Engineer (m/f/d) Computer Vision for Robotics, who will design and tr
Wir schreiben dir, sobald eine neue geprüfte Stelle in München dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
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The AI Teams at Agile Robots are looking for a Machine Learning Engineer (m/f/d) VLA Training & Evaluation, who will build the frameworks fo
As Engineering Manager for the Production Inference team, you will own both people leadership and technical direction for a team of research
Join a technical team developing intelligent systems that connect the physical and digital worlds.
Build the agent runtime. Sandboxed execution, tool orchestration, memory, the closed loop where the agent checks its own work.
Location: Munich Tappz is building AI-native applications powered by large language models.
Du entwickelst KI-Lösungen, die echte Business-Probleme lösen vom intelligenten Agenten bis zum skalierbaren Produktivsystem.
Anspruchsvolle Projekte mit LLMs, Agentic RAG und AI-Agent-Frameworks (z.
Betreibt und automatisiert das Deployment von ML-Modellen und deren Plattform per CI/CD, Kubernetes und IaC, inkl. Monitoring und Incident Management.
Konzeption und Umsetzung von AI-Agentic-AI-Architekturen für interne Projekte Entwicklung skalierbarer End-to-End-Lösungen für Generative AI
Founded in 2025, Omnisent is a Munich-based defense technology company developing fully autonomous, Counter-UAS system.
Die Rolle Du bist Backend-Engineer mit mehrjähriger Erfahrung und möchtest den nächsten Karriereschritt in Richtung KI-Integration gehen?
Du besprichst Requirements direkt mit dem Kunden, entwirfst darauf basierend technische Lösungen und arbeitest bei deren Implementierung mit
Konzipiert AIoT-Architekturen (Hardware, Connectivity, Cloud) für Industriekunden, definiert GenAI- und AI-Ops-Services und führt ein Entwicklerteam fachlich.
KI-Features liefern, die Zahlen bewegen: Du verantwortest KI-Features end-to-end – Belegerkennung, Klassifizierung, automatisches Verfassen
Analysiert Logistikprozesse, setzt Digital Twins und ML-Lösungen beim Kunden um, leitet Projekte und integriert sie in SAP.
Deine Leidenschaft für die Frontend- und Backend Entwicklung kannst du in unseren spannenden und innovativen Projekten im AIoT (AI und IoT)
As our first Senior Data Scientist, you’ll be a core part of building the intelligence behind Skalar.
Batch Robotics is revolutionizing how robots operate in factories — not through rigid programming or teaching by human demonstration, but wi
Data und AI sind Dein zu Hause?
Prüft KI-Risiken in Siemens-Prozessen und Produkten, entwickelt Audit-Programme und Kontrollen und berät das Management zur KI-Governance.
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality. We are moving beyond 2D pixels to build models that natively understand the physics and geometry of our world. Our mission is to redefine how industries, from robotics and AR/VR to gaming and cinema, generate and interact with physically-grounded 3D environments.
We’re seeking a Research Engineer to own the backend that serves our world models. You will build and run the inference systems behind our product and API, turning frontier research models into fast, reliable, and scalable services. This is a hands-on role for someone who has already owned production APIs in an AI system and can work closely with researchers to bring new models to users.
Responsibilities - Own the inference services and APIs that power our product, from request to generated output. - Optimize serving performance, reliability, and cost at scale. Maximize GPU utilization and minimize device memory footprint. - Apply latest techniques for improving inference performance. - Deploy research models as production services, including customer-specific configurations. - Work with research and product colleagues to bring new models to users. Key qualifications - 3+ years of software engineering in an AI, machine learning, or computer vision product environment. - Experience designing and owning production APIs. - Strong Python, and experience shipping containerized services on GPU inference platforms. - Hands-on GPU inference performance work: profiling, memory, batching, and cold start. - Familiarity with 3D or computer vision data is a strong plus.
At SpAItial, we are committed to creating a diverse and inclusive workplace. We welcome applications from people of all backgrounds, experiences, and perspectives. We are an equal opportunity employer and ensure all candidates are treated fairly throughout the recruitment process.
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Zur Originalanzeige128 geprüfte Stellen bei 79 Arbeitgebern, 10 davon ortsunabhängig. 73 in der KI-Entwicklung, 33 in Integration & Automatisierung.