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HomeCompaniesAgile Robots SeSimulation & Sim2Real Engineer (m/f/d) Robotics

Simulation & Sim2Real Engineer (m/f/d) Robotics

Agile Robots Se · Germany, Munich (HQ) · Active · Personio

Job facts

FieldValue
CompanyAgile Robots Se
TitleSimulation & Sim2Real Engineer (m/f/d) Robotics
Normalized title-
Department / teamAI Platform / Artificial Intelligence & Data
LocationGermany, Munich (HQ)
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerPersonio
Posted / first seen2026-03-06 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

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PageWhat it containsOpen
Company jobsActive postings from Agile Robots Se.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Personio.Open
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Department jobsActive postings in AI Platform.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyAgile Robots Se
Sourcebcb1fbae-6077-4ee3-833d-67baf488bf90
ATS providerPersonio

Description

About the role 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. Your Responsibilities Simulation Pipelines: Build and maintain task templates and episode generation workflows in Isaac Sim, MuJoCo, or Cosmos, with deterministic configs, seeds, and CI-integrated smoke tests. Synthetic Data: Produce synthetic ground truth outputs (segmentation, depth, state, pose, contacts, rewards) at scale and with validated quality. Sensor Realism: Train and apply learned models that transform simulated sensor outputs into realistic observations, capturing noise, artifacts, blur, rolling shutter, compression, and lighting effects. Actuator Realism: 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. Realism Integration: Provide the realism layer as a module with CLI/API and reproducible configs, pluggable into offline dataset generation, online sim augmentation, and downstream benchmarking. Transfer Evaluation: Evaluate sim-to-real quality through distribution matching, downstream task impact measurement, and ablation studies. Essential Skills Diffusion Models: Experience applying diffusion models for domain adaptation or style transfer tasks, including image-to-image and sequence-to-sequence transformations. Sensor Modeling: Understanding of camera pipeline artifacts, depth noise characteristics, and encoding or compression effects and how to model them as learned transformations. Actuator Modeling: Experience modeling real actuator behavior (latency, hysteresis, compliance, constraints) as learned or residual models rather than hand-tuned simulation parameters. Simulation Environments: Hands-on ownership of robotics simulation pipelines, including environment configuration, episode generation, and output validation. Beneficial Skills Transfer Measurement: Experience measuring sim-to-real transfer quality through downstream task performance rather than visual similarity alone. Reproducible Pipelines: Experience with deterministic pipeline design, including handling GPU non-determinism, seed management, and cross-machine reproducibility. What we offer 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 facilites with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment.

Full job record

Job ID0dddca4b72b11ea3ae39539a6f6e865daaab14c7
Org IDcbcab16d-d77f-4aae-95e4-f537194009c8
Source IDbcb1fbae-6077-4ee3-833d-67baf488bf90
Board IDbcb1fbae-6077-4ee3-833d-67baf488bf90
Providerpersonio
Provider Job Key2556532
TitleSimulation & Sim2Real Engineer (m/f/d) Robotics
Normalized Title
Statusactive
Activeyes
Location TextGermany, Munich (HQ)
DepartmentAI Platform
TeamArtificial Intelligence & Data
Employment Typefull_time
Workplace Type
Remote Policy
Country
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://agile-robots-se.jobs.personio.de/job/2556532?language=en
Apply URLhttps://agile-robots-se.jobs.personio.de/job/2556532?language=en
First Seen At2026-05-30 06:05:02Z
Last Seen At2026-06-06 07:54:12Z
Last Checked At2026-06-06 07:54:12Z
Last Changed At2026-05-30 06:05:02Z
Inactive At
Source Posted At2026-03-06 16:54:16Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=personio/board=agile-robots-se.de/date=2026-06-06/2026-06-06T07-54-11-954Z-784a826e6f3211779d98f861e26fa61d9ac5e980c0b6fc37cf918f969809edb8.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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      "value": "<p style=\"font-family:Arial;font-size:14px;\"><strong>The AI Research Division of Agile Robots</strong> is looking for a <strong>Simulation & Sim2Real Engineer (m/f/d) Robotics</strong> 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.</p>"
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      "name": "Your Responsibilities",
      "value": "<ul><li style=\"font-family:Arial;font-size:14px;\"><strong>Simulation Pipelines:</strong> Build and maintain task templates and episode generation workflows in Isaac Sim, MuJoCo, or Cosmos, with deterministic configs, seeds, and CI-integrated smoke tests.</li><li style=\"font-family:Arial;font-size:14px;\"><strong>Synthetic Data:</strong> Produce synthetic ground truth outputs (segmentation, depth, state, pose, contacts, rewards) at scale and with validated quality.</li><li style=\"font-family:Arial;font-size:14px;\"><strong>Sensor Realism:</strong> Train and apply learned models that transform simulated sensor outputs into realistic observations, capturing noise, artifacts, blur, rolling shutter, compression, and lighting effects.</li><li style=\"font-family:Arial;font-size:14px;\"><strong>Actuator Realism:</strong> 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.</li><li style=\"font-family:Arial;font-size:14px;\"><strong>Realism Integration:</strong> Provide the realism layer as a module with CLI/API and reproducible configs, pluggable into offline dataset generation, online sim augmentation, and downstream benchmarking.</li><li style=\"font-family:Arial;font-size:14px;\"><strong>Transfer Evaluation:</strong> Evaluate sim-to-real quality through distribution matching, downstream task impact measurement, and ablation studies.</li></ul>"
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    },
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      "value": "<ul><li style=\"font-family:Arial;font-size:14px;\"><strong>Transfer Measurement:</strong> Experience measuring sim-to-real transfer quality through downstream task performance rather than visual similarity alone.</li><li style=\"font-family:Arial;font-size:14px;\"><strong>Reproducible Pipelines:</strong> Experience with deterministic pipeline design, including handling GPU non-determinism, seed management, and cross-machine reproducibility.</li></ul>"
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    }
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  "occupationCategory": "it_software",
  "recruitingCategory": "Artificial Intelligence & Data"
}
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