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Neura Robotics

Cognitive robots with perception, manipulation, collaboration

Senior Software Test Engineer - Robot Arm

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timeNo 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, schedules, or small teams across cross-functional engineering groups.
  • A strong understanding of robotic-arm fundamentals, including kinematics, joint versus Cartesian motion, reference systems, safety limits, operator software, and mechatronic system integration across mechanics, electrical engineering, and control engineering.
  • Proficiency in Java.
  • Practical experience with Maven, Selenium, Cucumber (Behavior-Driven Development), API testing, and Git.
  • Strong experience with continuous integration and continuous delivery, test reporting, and agile cross-functional teams.
  • The ability to mentor others and drive process improvements.
  • Fluent English.

Responsibilities

  • Own end-to-end testing of the robot system, including the graphical user interface, motion commands, programmable logic controller communication interfaces, and safety functions, and own the test strategy across releases.
  • Drive release and regression validation across versioned robot software, including localization and multi-environment testing, and coordinate schedules and dependencies across teams.
  • Serve as the key contact among robotics, firmware, application, and functional-safety engineers; coordinate validation tasks, align priorities, and resolve cross-team blockers.
  • Apply mechatronics fundamentals to anticipate failure modes and develop tests that detect real integration issues early.
  • Coordinate test planning and execution across multiple workstreams, ensuring coverage, priority alignment, and timely delivery.
  • Own and develop the test automation framework using Gherkin, Cucumber, Selenium, and Java for graphical user interface and API testing, and set team-wide standards.
  • Design and maintain scalable automated regression, smoke, and release test suites integrated into continuous integration and continuous delivery pipelines such as GitLab, optimizing speed and reliability.
  • Establish best practices for reusable step definitions, page objects, test data management, and reporting; review and guide other engineers' contributions.
  • Analyze test results to identify defects, regressions, localization issues, and performance bottlenecks, and drive root-cause analysis for complex or recurring problems.
  • Ensure traceability between requirements and test cases; monitor defect logging and tracking and communicate clearly with stakeholders.
  • Create and maintain test documentation, user manuals, and onboarding materials for the test team.
  • Identify opportunities for improvement and lead initiatives to optimize testing practices, test coverage, and execution efficiency across the organization.
  • Coordinate task planning, prioritization, and cross-functional communication for test activities, acting as a liaison among engineering disciplines.
  • Mentor junior- and mid-level test engineers, review their work, and support their professional development.
  • Contribute to sprint planning, effort estimation, and retrospectives within agile cross-functional teams.

Desired Qualifications

  • Experience in industrial automation.
  • Experience with Python or C++.

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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