Robotics Engineer - Simulation & Synthetic Data

Location: Landshut, Bavaria, Germany
Employment Type: Full time
Work Model: On-site

Who We Are

At Athenyx Robotics, we are building the intelligence stack for industrial humanoid robotics.

Our goal is to enable robots to move beyond rigid automation towards adaptive, learning-based systems that can operate across real-world industrial environments. We combine advances in robot learning, perception, and simulation with direct access to industrial use cases, data, and systems.

We are not building isolated demos - we are developing a platform for AI-native robotics, where perception, reasoning, and action are tightly integrated.

Overview

We are seeking a Robotics Engineer focusing on Simulation & Synthetic Data to build scalable environments for training and evaluating intelligent robotic systems.

You will work at the intersection of simulation, data generation, and learning, enabling the development of generalizable robotic capabilities.

As part of an early team, you are expected to operate with a T-shaped profile and contribute across the stack.

Your Responsibilities

Simulation & Synthetic Data

Develop and maintain simulation environments for robotic systems and tasks
Generate synthetic data to support perception and learning pipelines
Model robots, sensors, and environments with a focus on realism and scalability

Learning Support & Integration

Enable Sim2Real transfer by aligning simulation with real-world conditions
Collaborate closely with learning and perception engineers to support training and evaluation workflows
Contribute to data pipelines and system integration across the stack

What You Bring

Degree (Bachelor, Master, or PhD) in robotics, simulation, or a related field, with a strong understanding of physical systems
Strong programming skills in Python and experience working with simulation or data generation workflows
Experience with simulation environments or physics-based modeling
Interest in enabling scalable training and bridging simulation with real-world systems
Willingness to work across the stack and collaborate closely with AI and robotics engineers

Nice to Have

Experience with synthetic data pipelines
Familiarity with perception or learning workflows
Exposure to real robotic systems

What We Offer

Work on real robotic systems in industrial environments with direct impact on how robotics is deployed in practice
Close collaboration with industry partners and access to real-world use cases, data, and systems
High ownership and responsibility from day one in a small, highly capable, and execution-focused team
Flexible working hours and an open, collaborative culture with a strong focus on building and learning
The opportunity to help shape a new generation of AI-driven robotics systems from the ground up