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Роль четко связана с тестированием робототехнической симуляционной платформы и дает серьезную техническую ответственность, но обязательное присутствие в офисе и отсутствие зарплаты оставляют важные условия неясными.
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Зарплата не указанаТолько офисПонятная рольАктуальные технологииРобототехника и ИИ
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Software Test Engineer (Robotics): Building automated validation infrastructure for NeuraGym, a simulation and training environment for robotics, with an accent on simulation fidelity, reproducibility, and sim-to-real validation. Focus on designing scalable test frameworks, validating RL and imitation-learning workflows, and identifying failures across physics, sensors, robot models, APIs, and CI/CD pipelines.
Location: On-site in Metzingen / Riederich, Germany
Company
hirify.global develops robotic systems and the NeuraGym simulation and training environment that supports transferring learned behavior to real robots.
What you will do
Own the test infrastructure, quality standards, validation strategy, and architectural decisions for NeuraGym.
Validate physics and sensor simulation, environments, scenarios, robot models, APIs, and simulation fidelity.
Test training and evaluation workflows, including reinforcement learning, imitation learning, data generation, metrics, reproducibility, and performance.
Design and maintain automated unit, integration, system, regression, and end-to-end test suites.
Build scalable parallel and cloud-based validation tooling and integrate automated testing into CI/CD pipelines.
Collaborate with simulation, robotics, AI, platform, and product engineers to reproduce defects, analyze root causes, and improve sim-to-real reliability.
Requirements
Bachelor’s or Master’s degree in Computer Science, Robotics, Mechatronics, Electrical Engineering, or a related field.
4+ years of experience in software testing, test automation, or software engineering in test, preferably with robotics, simulation, or complex distributed systems.
Strong Python programming and software engineering fundamentals.
Experience with testing methodologies, pytest or BDD, CI/CD, Git, and Linux-based development environments.
Familiarity with simulation environments such as Isaac Sim, Isaac Lab, Gazebo, or MuJoCo, plus robotics fundamentals, ROS/ROS2, sensors, kinematics, dynamics, and motion control.
Strong analytical, debugging, systems-thinking, and cross-functional collaboration skills.
Nice to have
Experience validating ML/RL pipelines, SIL/HIL testing, sim-to-real validation, domain randomization, or synthetic data pipelines.
Working knowledge of C++ and robotics communication protocols such as DDS, EtherCAT, or CAN.
Experience with GPU workloads, performance profiling, stress testing, cloud infrastructure, Docker, Kubernetes, and distributed validation.
Understanding of real-time systems, deterministic execution, and safety-related standards for robotic systems.
Culture & Benefits
Hands-on engineering role within a cross-functional robotics, simulation, AI, and platform environment.
Opportunity to shape testing practices, quality standards, and developer productivity across the product lifecycle.
Full-time, on-site work in Metzingen / Riederich, Germany.
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