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Tactiliarobotics

AI Software Engineer, Stimulation (f/m/d)

location_on Munich
schedule Posted 1 month ago
work Full Time
public Source: Arbeitnow

About the Role

About TACTILIAAt TACTILIA, we are building the industry-ready robotic hand that closes one of the biggest gaps in Physical AI. Spun out of SCHUNK, the global market leader in gripping technology, we combine a decade of robotic-hand expertise and real industrial access with the speed and ambition of a deep-tech startup.This isn't a research project waiting for its first customer. We already have a product, customers are ready to use it, and we are launching now.

Your work will directly shape the electronics, actuators, and embedded systems that make that possible.You will join at the moment when the hard engineering questions become real product decisions: how do we make a highly capable robotic hand reliable, manufacturable, serviceable, and simple enough to deploy on a real shop floor?The Role:As an AI Software Engineer focused on Simulation, you will build the simulation and software infrastructure that enables TACTILIA's robotic hands to learn, test and improve before they touch the real world.You will work at the intersection of robotics, simulation and AI — developing environments, models and tools for training and evaluating robotic hand behaviours. Your work will help bridge simulation and reality and accelerate the development of dexterous manipulation skills.What you will do:Build and maintain simulation environments for robotic hands and dexterous manipulationDevelop simulation models for robot dynamics, actuators, sensors and contact interactionsDevelop software infrastructure for training, evaluating and benchmarking AI-based manipulation policiesWork with reinforcement learning, imitation learning and other learning-based approaches for roboticsBuild pipelines for simulation-to-real transfer and validate policies on real robotic hardwareGenerate and manage simulation data for training and evaluationIntegrate simulation environments with robotics and AI software stacksCollaborate closely with robotics, controls and hardware engineers to translate real-world behaviour into simulationDevelop tools and workflows that make simulation faster, more reliable and useful for product developmentWhat you bring:Degree in Computer Science, Robotics, AI, Electrical Engineering or a related fieldStrong software engineering skills in Python and C++Experience with robotics simulation and/or physics enginesExperience with machine learning applied to roboticsGood understanding of robot kinematics, dynamics and controlExperience working with robotic systems, sensors and/or simulation environmentsStrong problem-solving skills and a pragmatic, hands-on approachAbility to work across AI, software and physical roboticsBonus:Experience with reinforcement learning or imitation learningExperience with simulation-to-real transferExperience with MuJoCo, Isaac Sim, Isaac Lab or similar simulation frameworksExperience with dexterous manipulation, grasping or robotic handsThe next chapter of robotics won't be built in a lab. It will be built by people who care about what happens when technology meets the real world.At TACTILIA, you'll work on one of the hardest open problems in robotics: giving machines the dexterity, reliability and robustness to interact with the physical world at industrial scale.The technology is taking shape, the team is being built, and the standards around robotic hands and their skills are still open.

That means your decisions will have a lasting impact — not just on a product, but on what comes next for Physical AI.Build the hand. Define the standard. Shape what comes next.If you're excited by the challenge of building robotic hands that works reliably in the real world, we'd love to hear from you.Find Jobs in Germany on Arbeitnow

Requirements

Qualifications

  • Experience: Fresher

Skills & Languages

Problem-Solving Computer science Problem-solving skills AI Machine Learning Electrical Engineering Software Engineering Engineer Embedded Systems software Industrial Building

analytics Market & Role Insights

trending_up In-Demand Companion Skills

Co-occurring in similar roles

Across active Problem-Solving, Computer science, Problem-solving skills positions on Jobsfiy, these complementary skills appear most frequently:

Engineer 31% demand
Communication Skills 27% demand
AI 24% demand
world 21% demand

Tip: Highlighting these companion skills in your resume can increase your match score during applicant screening.

payments Estimated Market Compensation

100 comparable listings
₹25,000 – ₹55,000 / year

Market Median: ₹34,500. Range reflects the 25th to 75th percentile of similar active roles on Jobsfiy.

speed Category Snapshot: R&D

Active Category Roles

92+

Remote Flexibility

2% Remote

Target Experience

Senior

Education Details

school

Minimum Education

Bachelor Degree

How to Stand Out When Applying for AI Software Engineer, Stimulation (f/m/d)

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