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Neura Robotics

Cognitive robots with perception, manipulation, collaboration

Senior Software Test Engineer - Robot Arm, Human

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timeRiederich, GermanyNo salary listedIn-person

About the Job

Requirements

  • A bachelor's or master's degree in Mechatronics, Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field.
  • At least 5 years of experience in test automation, system testing, validation, or verification of complex mechatronic or robotic systems.
  • Experience coordinating tasks, timelines, or small teams across cross-functional engineering groups.
  • Strong understanding of robot arm fundamentals, including kinematics, joint versus Cartesian motion, reference frames, safety limits, and operator control software, plus broader mechatronic system integration across mechanical, electrical, and control systems.
  • Proficiency in Java.
  • Hands-on experience with Maven, Selenium, Cucumber (BDD), API testing, and Git.
  • Experience with CI/CD, test reporting, and agile cross-functional teams.
  • Ability to mentor others and drive process improvements.
  • Fluency in English.

Responsibilities

  • Lead end-to-end testing of the robotic system, including the graphical user interface, motion commands, programmable logic controller communication interfaces, and safety functions, and own test strategy across releases.
  • Drive release and regression validation across versioned robot software, including localization and multi-environment testing, coordinating timelines and dependencies across teams.
  • Serve as the key point of contact between robotics, firmware, application, and functional safety engineers by coordinating validation tasks, aligning priorities, and resolving cross-team blockers.
  • Apply mechatronics fundamentals, including mechanical, electrical, and control systems integration, to anticipate failure modes and design tests for real-world integration issues.
  • Coordinate test task planning and execution across multiple work streams, ensuring coverage, priority alignment, and on-time delivery.
  • Own and evolve the test automation framework using Gherkin, Cucumber, Selenium, and Java for graphical user interface and API testing, setting standards for the wider team.
  • Architect and maintain scalable automated regression, smoke, and release test suites integrated into CI/CD pipelines such as GitLab, optimizing for speed and reliability.
  • Establish best practices for reusable step definitions, page objects, test data management, and reporting; review and guide contributions from other engineers.
  • Analyze test results to detect defects, regressions, localization issues, and performance bottlenecks, and drive root-cause investigations on complex or recurring issues.
  • Ensure traceability between requirements and test cases; oversee issue logging, tracking, and clear communication to stakeholders.
  • Create and maintain test documentation, user guides, and onboarding materials for the test team.
  • Identify and lead initiatives to improve testing practices, coverage, and execution efficiency across the organization.
  • Coordinate task planning, prioritization, and cross-functional communication for test activities, acting as a bridge between engineering disciplines.
  • Mentor junior and mid-level test engineers, review their work, and support their technical growth.
  • Contribute to sprint planning, estimation, and retrospectives within agile, cross-functional teams.

Desired Qualifications

  • Industrial automation experience is preferred.
  • Familiarity with Python or C++ is a plus.

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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