Team Lead AI Engineering (NEURAGym)

Location: Stuttgart, Germany. On-site.

Company

hirify.global develops physical AI systems and operates NEURA Gym, a network of training centers where robots learn industrial skills in real-world environments.

What you will do

• Hire, coach, and lead AI Engineers developing deployable robotic skills.
• Own technical relationships with NEURA Gym partners, evaluating use cases, technical feasibility, algorithms, and data collection strategies.
• Oversee the end-to-end pipeline from teleoperation and data collection through training, simulation, deployment, and validation.
• Work with on-site Robotics Engineers during live data collection and experiments while maintaining high safety standards.
• Provide hands-on support with training pipelines, data quality, model bugs, and complex technical challenges.
• Connect NEURA Gym, Cloud, and Core AI teams and translate deployment learnings into product and AI roadmap improvements; define metrics such as skill success rate, time-to-validated skill, and data efficiency.

Requirements

• Degree in Computer Science, Robotics, Electrical Engineering, or a related field, or equivalent practical experience.
• Strong hands-on experience developing machine learning solutions for robotics, with expertise in at least two of: vision-based manipulation; reinforcement or imitation learning; Vision-Language-Action models, multimodal foundation models, or related embodied AI approaches.
• Experience leading engineers, projects, or technical initiatives through people management or formal technical leadership.
• Practical experience with PyTorch or TensorFlow and strong Python programming skills.
• Confidence working with physical robotic systems and relevant robotics software stacks and middleware.
• Track record of delivering complex robotics or AI projects from concept to deployment with measurable business or technical impact.
• Strong communication skills and the ability to translate between researchers, engineers, end-users, customers, and other stakeholders.
• Professional working proficiency in English.

Nice to have

• Experience with C++.
• Familiarity with AWS, Azure, or GCP and/or robotic simulation environments such as Isaac Sim or MuJoCo.
• German language skills.

Culture & Benefits

• On-site work in Stuttgart.
• Close collaboration with customers and Robotics Engineers in real-world physical environments.
• Opportunity to deploy AI capabilities on physical robots rather than limiting work to research prototypes or demonstrations.