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Neura Robotics

Cognitive robots with perception, manipulation, collaboration

Systems Architect - Mensch

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

About the Job

Requirements

  • Master’s or PhD in Systems Engineering, Robotics, Electrical Engineering, Mechanical Engineering, Computer Science, or a related discipline.
  • More than 3 years of experience designing safety-critical systems in complex, multidisciplinary development environments.
  • Experience with requirements management tools such as DOORS, Jama, or Polarion, and system-modeling tools and methods such as SysML, MBSE, or Rhapsody; ability to manage requirements flow-down and system traceability.
  • Familiarity with functional safety, cybersecurity, and certification standards including ISO 13849, ISO 10218, ISO 26262, and ISO/SAE 21434.
  • Demonstrated ability to coordinate and align architecture and technology decisions across multiple teams, and experience managing cross-domain dependencies.

Responsibilities

  • Define and own end-to-end system architectures for multiple robot platforms, aligning technical design with customer and product needs.
  • Translate customer and product requirements into structured, traceable system architecture models and documentation.
  • Architect scalable platforms with clear variation points and product-line reuse, and advance platform strategy across the portfolio.
  • Coordinate alignment and integration across software, hardware, AI/ML, and mechatronics domains, ensuring coherent system behavior, performance, safety, cybersecurity, and compliance.
  • Define how AI/ML components for perception, cognition, and decision-making are integrated into robot architecture.
  • Evaluate emerging technologies and trends to improve system robustness and future readiness.
  • Support architecture decisions and technology selections across engineering teams, serving as a technical resource for cross-team collaboration and integration strategies.
  • Identify and mitigate system-level risks, dependencies, and integration challenges early in the development lifecycle.
  • Develop architecture-level compliance strategies.
  • Integrate partners or suppliers to support technology development and system integration.

Desired Qualifications

  • Direct robotics experience with industrial robots, autonomous mobile robots, or humanoid robots, or experience with complex autonomous systems, is a strong advantage.

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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