Software Engineer in Test, Humanoid Robotics

Job description

Job responsibilities

• Test & Automation Design: Design, develop, and maintain the comprehensive manual and automated overall regression test suite, focusing on integration stability.
• Hardware-in-the-Loop (HIL) Testing: Perform automated testing with physical hardware in the loop, executing actual sequencing setups, physical interventions, and real-time robotic test runs.
• XR Applications Testing: Drive the end-to-end quality of virtual environments by designing both automated and manual testing strategies for VR and Unity-based applications used in robot simulation and operator…
• Release Contribution & Reporting: Contribute to generating detailed Test Execution Reports for major milestones and releases, clearly documenting coverage and communicating quality status to the manager and development…
• Process Improvement: Identify bottlenecks and gaps in the SQA process and testing coverage, driving continuous improvement in execution efficiency and reliability.

Job requirements

• 3–4 years of experience in Software QA Engineering, Test Automation, or Software Development, with a history of shipping and supporting product releases.
• Hands-on experience with Hardware-in-the-Loop (HIL) manual testing , including physical test setup manipulation and live sequencing execution on robotics, automotive, or embedded systems.
• Strong proficiency in test automation with a solid base in Python, C#, or a similar language. Direct experience automating HTTP and WebSocket (WS) APIs is required.
• Demonstrated experience testing LLM / VLM systems , including evaluating model responses via manual prompting, API layers, and setting up quality assessment metrics.
• Experience executing both automated and manual test strategies for VR and Unity-based applications , simulation software, or interactive 3D environments.
• Expertise in designing comprehensive test plans and executing functional, integration, and regression testing with strong manual rigor.
• Expertise in Defect Lifecycle Management using defect tracking systems (e.g., Jira) for precise defect reporting, verification, and analysis.
• Solid understanding of CI/CD practices and experience integrating and monitoring automated tests within continuous integration tools (e.g., Jenkins, GitLab CI).