2 месяца назад
Software Engineer - AI Infrastructure (Robotics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer - AI Infrastructure (Robotics): Building production ML infrastructure that connects robotics data collection, training, and deployment with an accent on scalable data pipelines, data quality tooling, and internal visualization. Focus on processing sensor data, detecting anomalies, profiling datasets, and supporting AI systems for dexterous robotic manipulation.
Location: Zürich, Switzerland
Company
is an early-stage deep-tech robotics and AI startup developing dexterous robotic hands and automation solutions that learn from human observations.
What you will do
- Scale and improve robotics data processing pipelines from ingestion through quality checks to training-ready datasets.
- Build and maintain data quality tooling for anomaly detection, validation, and statistical profiling.
- Develop internal visualization tools that help researchers inspect, understand, and qualify data.
- Write well-tested, documented, modular, and maintainable software.
Requirements
- Strong Python fundamentals, including clean code, data structures, and performance tradeoffs.
- Strong software engineering foundations with Git and GitHub, modular design, maintainability, and refactoring.
- Knowledge of data engineering concepts, including ELT/ETL pipeline design, storage formats, and data quality practices.
- Ability to communicate technical decisions clearly and collaborate across teams.
- Proactive approach and genuine interest in robots that learn from real-world data.
Nice to have
- Experience with robotics or sensor data such as video, point clouds, or physical-system time series.
- Experience with FastAPI or React.
- Knowledge of ML infrastructure fundamentals, including PyTorch, data loading, training loops, profiling, and inference.
Culture & Benefits
- Work in a small, high-impact team.
- Contribute meaningful features from the start while learning from experienced colleagues.
- Help develop automation technology addressing tedious manual labor and labor shortages.
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