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INIntrinsic

Applied Research Engineer, Motion Planning(m/w/x)

München
from USD 200,000 - 230,000 / year
Full-timeOn-siteExperienced
AI/ML
Data Science

Developing single/multi-robot motion planning for industrial robotics, evolving prototypes with ML advances. Masters in CS/Robotics, practical ML/robotics experience, and solid C++/Python/Jax programming required. Equity package.

Requirements

  • Masters in Computer Science, Robotics or equivalent
  • Practical experience in robotics and machine learning
  • Knowledge of and comfort with physical simulations (Gazebo, Bullet, MuJoCo, IsaacSim)
  • At least 2 years experience in motion planning for robotics, classical robot motion planning (RRTs, PRMs), machine learning/deep learning
  • Solid experience programming in C++, Python, and ideally Jax
  • Research experience in a related field
  • At least one high-quality publication in a peer-reviewed academic journal/conference
  • PhD in Robotics, Computer Science or similar technical field
  • Experience with design and implementation of large, complex ML algorithms with large data and highly parallelized algorithms
  • 4 years applied experience in machine learning for robotics motion planning

Tasks

  • Develop new motion planning approaches from prototypes
  • Exploit ML advances for data-driven planning
  • Implement algorithms and libraries in Python, C++, Jax
  • Develop reliable solutions for industrial partners
  • Distill robotics and ML research publications
  • Implement promising solutions

Work Experience

  • 2 years

Education

  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Machine learning
  • Gazebo
  • Bullet
  • MuJoCo
  • IsaacSim
  • Deep learning
  • RRTs
  • PRMs
  • C++
  • Python
  • Jax

Benefits

Bonuses & Incentives

  • Performance bonus

Competitive Pay

  • Equity package

Other Benefits

  • Disability accommodation
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