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Neura Robotics

Cognitive robots with perception, manipulation, collaboration

System Engineer

Design EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Master's or PhD in Robotics, Systems Engineering, Electrical Engineering, Computer Science, or a related discipline.
  • More than 3 years of experience is a plus.
  • Experience developing complex robotic systems in multidisciplinary environments or related complex, safety-critical autonomous systems.
  • A strong understanding of system integration, lifecycle processes, and collaboration with architecture teams.
  • Knowledge of robotics software frameworks and middleware.
  • Expertise in requirements management and systems architecture tools.
  • Experience with model-based systems engineering for system architecture and traceability.
  • A good understanding of mechatronic components, robot hardware architecture, sensors, robotics software frameworks, and middleware such as Robot Operating System or Robot Operating System 2.
  • Experience with functional safety, cybersecurity, and certification standards for robotics and mechatronics, including ISO 13849, ISO 10218, ISO 26262, or ISO/SAE 21434.
  • Strong analytical and problem-solving abilities.
  • Strong communication skills in cross-functional teams.
  • Confident use of agile or scaled development environments.

Responsibilities

  • Translate customer and product requirements into structured, traceable system requirements.
  • Participate in defining the system architecture and lead architecture for product lines where applicable.
  • Assign requirements to subsystems and define interfaces across mechanics, electrical engineering, software, controls, artificial intelligence, and perception.
  • Coordinate different disciplines to ensure coherent system behavior and compliance.
  • Define and support strategies for system verification, validation, and certification, including test plans and acceptance criteria.
  • Create and maintain systems engineering artifacts, including requirements specifications, architecture, interface definitions, and traceability documentation.
  • Participate in technical reviews, design reviews, architecture reviews, and product lifecycle milestones.
  • Support execution, system integration, and performance validation across prototype and product phases.
  • Facilitate the transition from development to production and field deployment.

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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