Simulation & Sim2Real Engineer Robotics

Beschreibung

Job Zusammenfassung In diesem Job entwickelst du Simulationen und überbrückst die Kluft zur Realität, indem du hochwertige synthetische Daten generierst und realistische Modellierungen für Sensor- und Aktorverhalten erstellst. Job Zusammenfassung In diesem Job entwickelst du Simulationen und überbrückst die Kluft zur Realität, indem du hochwertige synthetische Daten generierst und realistische Modellierungen für Sensor- und Aktorverhalten erstellst. Deine Rolle im Team The AI Research Division of Agile Robots is looking for a Simulation & Sim2Real Engineer (m/f/d) Robotics who would be responsible for simulation-to-reality pipeline within AI Tools: building reproducible simulation workflows that generate synthetic training data, and developing learned realism models that close the gap between simulated and real sensor and actuator behavior. Build and maintain task templates and episode generation workflows in Isaac Sim, MuJoCo, or Cosmos, with deterministic configs, seeds, and CI-integrated smoke tests. Produce synthetic ground truth outputs (segmentation, depth, state, pose, contacts, rewards) at scale and with validated quality. Train and apply learned models that transform simulated sensor outputs into realistic observations, capturing noise, artifacts, blur, rolling shutter, compression, and lighting effects. Learn and apply actuator or dynamics residual models that map ideal simulated actions to real-world-like actuation behavior, including latency, backlash, saturation, compliance, and drift. Provide the realism layer as a module with CLI/API and reproducible configs, pluggable into offline dataset generation, online sim augmentation, and downstream benchmarking. Evaluate sim-to-real quality through distribution matching, downstream task impact measurement, and ablation studies. Unsere Erwartungen an dich Qualifikationen Understanding of camera pipeline artifacts, depth noise characteristics, and encoding or compression effects and how to model them as learned transformations. Hands-on ownership of robotics simulation pipelines, including environment configuration, episode generation, and output validation. Erfahrung Experience applying diffusion models for domain adaptation or style transfer tasks, including image-to-image and sequence-to-sequence transformations. Experience modeling real actuator behavior (latency, hysteresis, compliance, constraints) as learned or residual models rather than hand-tuned simulation parameters. Experience measuring sim-to-real transfer quality through downstream task performance rather than visual similarity alone. Experience with deterministic pipeline design, including handling GPU non-determinism, seed management, and cross-machine reproducibility. Unser Angebot Dynamic high-tech company combined with financial soundness and world class investors. Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment. Lots of development opportunities in the context of our continued growth. Challenging tasks and impactful projects alongside experts that enable professional and personal growth. Corporate Benefits Program that covers health, mobility and learning with 100 € net per month. Modern office facilities with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment. Benefits Gesundheit, Fitness & Fun 🎳 Team Events Work-Life-Integration 🚌 Gute Anbindung Themen mit denen du dich im Job beschäftigst AI Robotics Metadaten Level: Erfahren Job Feld: Software, Embedded Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Onsite Unternehmenstyp: Etablierte Firma Branche: Elektronik, Automatisation Ort: München | Deutschland

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