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Neura Robotics

Cognitive robots with perception, manipulation, collaboration

Group Lead System Development

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • More than 5 years of experience in systems engineering for safety-critical products and autonomous systems, including at least 2 years in a leadership or management role.
  • A Master or PhD in Robotics, Systems Engineering, or Computer Science, with a demonstrated track record in system development across different platforms.
  • Expert knowledge of requirements engineering, system-architecture definition, and the dependencies between hardware, software, integration, verification, validation, and certification.
  • Demonstrated ability to introduce customized, efficient processes in a fast-paced, high-growth environment while maintaining technical rigor and compliance discipline.
  • Ability to balance deep technical involvement with empowering autonomous, accountable teams, work collaboratively, and take responsibility for cross-team challenges.
  • Proficiency with architecture and requirements tools and their workflows, such as Systems Modeling Language, Polarion, or DOORS; familiarity with ROS/ROS2 and robotic systems; and experience building and optimizing engineering workflows and tool stacks.

Responsibilities

  • Lead and develop a multidisciplinary team of system architects and engineers to drive technical excellence and innovation across multiple product lines.
  • Work closely with the safety and cybersecurity managers to create a fast, seamless, integrated system-safety-security development process that enables certification without slowing development.
  • Manage the systems-engineering lifecycle while maintaining startup agility and innovation speed without compromising quality or compliance with IEC 62443, UNECE R155, and ISO 13849.
  • Own the engineering tool stack and standardize workflows and processes to ensure consistency, traceability, and reusability across all product lines.
  • Represent systems-engineering leadership across the company, align technical strategy with product goals and management priorities, and promote effective stakeholder communication.
  • Lead technical reviews and make design-authority decisions regarding system architecture, interface contracts, and safety boundaries across functional domains.

About the Company

Neura Robotics

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.

Company size
501-1,000
Company stage
Series C
Total funding
$1.7B
Headquarters
Metzingen, Germany
Founded
2019

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