Spatial Intelligence, you will play a key role in ensuring the reliability, robustness, and correctness of ANYmal’s spatial perception, localization, and mapping systems.
Design and implement replay-based, simulation-based, and dataset-driven validation strategies to ensure consistent behavior across diverse environments and scenarios.
Strengthen our CI/CD pipeline, dataset validation workflows, and replay infrastructure.
Define quality standards, improve diagnosability, and ensure rigorous validation of new features.
Requirements
Excellent knowledge of software quality assurance and automated testing of complex, distributed systems.
Excellent programming skills in C++ and Python with a strong understanding of testable software architecture and clean code design.
Strong experience designing replay-based or large dataset-driven validation pipelines for learning-based or data-centric systems.
Strong ability to analyze complex system-level failures and improve observability, diagnosability, and debugging workflows to reduce time-to-resolution.
Good familiarity with Linux development environments, Git workflows, and CI/CD pipelines.
Good experience with issue tracking and test management tools, and defining regression and quality metrics.
Engineering or science degree with a focus on computer science, robotics, or a related field.