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16 часов назад

Robotics Simulation Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Robotics Simulation Engineer (AI): Building and operating complex robotics simulation environments to evaluate learning and control methods with an accent on sim-to-real transfer and benchmarking. Focus on designing reproducible experiments, quantifying sim-to-real gaps, and calibrating simulation parameters for maximum physical realism.

Location: On-site in Metzingen / Riederich, Germany

Company

hirify.global is a pioneer in the field of intelligent robotics, building advanced simulation environments to bridge the gap between virtual development and real-world deployment.

What you will do

  • Build, configure, and operate complex robotics simulations for benchmarking and evaluation.
  • Design reproducible experiments and conduct systematic ablation studies to validate control and learning approaches.
  • Analyze sim-to-real transferability and identify gaps in dynamics, sensor noise, and contact models.
  • Calibrate simulation parameters to ensure maximum physical realism.
  • Collaborate with ML and robotics teams to define quality thresholds and present technical results.

Requirements

  • Bachelor's or Master's degree in Robotics, Computer Science, Mechanical Engineering, or related field.
  • At least 3 years of professional experience in robotics simulation or model-based evaluation.
  • Strong expertise in MuJoCo and experience with NVIDIA Isaac Sim or PyBullet.
  • Proficiency in robot and environment modeling (URDF, MJCF, USD) and understanding of robotic dynamics.
  • Experience with Python-based toolchains and automation of simulation tests.
  • Must be able to work on-site in Metzingen / Riederich.

Culture & Benefits

  • Opportunity to work at the forefront of AI and robotics integration.
  • Collaborative environment working with cross-functional ML and software teams.
  • Focus on systematic, research-driven development processes.

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