Proof of Concept Engineer
Neura Robotics
Proof of Concept Engineer
Neura Robotics
Cognitive robots with perception, manipulation, collaboration
Your Mission & Challenges
As a Proof of Concept Engineer, you'll be doing fast short-period projects for the Humanoid Robots Business Units.
· Commission, test, and deploy humanoid robotic systems in customer and demonstration environments.
· Support product development teams during commissioning, testing, and field validation of humanoid robot software and hardware functions (manipulation, locomotion and navigation).
· Assist robot setup and customer project work at NeuraGyms, Neura’s robot training facilities
· Work closely with hardware, software, AI, and project teams to turn ideas into working robotic applications.
· Create documentation and troubleshooting guides to support commissioning, quality assurance, and customer acceptance.
· Support customers and internal stakeholders during deployments, training sessions, and technical investigations.
What We Can Look Forward To
· A degree in Robotics, Software Engineering or a comparable field
· 2+ years of relevant work experience in robotics, application engineering, or a related technical field is preferred.
· Good software programming skills (Python and/or C++)
· Confident usage of robotic software middleware (ROS / ROS 2 and DDS)
· Hands-on experience with Docker and containerized software environments
· Solid understanding of robotics concepts and IP networking basics
· Hands-on experience with software deployment, maintenance and troubleshooting
· Problem-solving mindset with the ability to adapt in a fast-paced environment,
· Willingness to travel for customer deployments, demonstrations, and trade fairs.
· Team worker with good communication skills in English and German
· Preferably with a driving license valid in Germany
Cognitive robots with perception, manipulation, collaboration
Neura Robotics builds cognitive robots for industrial and service settings, combining perception, manipulation, and human collaboration. It develops both the hardware and the software stack for Physical AI, creating robot platforms like MAiRA, MAV, LARA and MiPA along with training infrastructure. The system works by integrating sensing, decision-making, and manipulation capabilities on a hardware-software stack that can be deployed in large-scale production, with the company planning robots fleets and NEURA Gyms for ongoing training and improvement. What sets Neura Robotics apart is its end-to-end approach to Physical AI, including a focus on mass production, an established global deployment plan, and a broad ecosystem of strategic backers and partners that support scaling and international expansion. The goal is to enable worldwide deployment of its robot platforms and associated training infrastructure, turning physical AI into widely available industrial and service automation.
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