Software Engineer - AI Infrastructure

About mimic

mimic robotics is an early stage deep tech robotics & AI start-up based in Zurich and supported by leading VCs. We give industry workers a helping hand for tedious manual labor tasks and mitigate labor shortages with a versatile automation platform. Our automation solutions, driven by dexterous robotic hands and cutting edge AI trained on human observations, bring a new level of AI embodiment to the real world.

The Role

As a Software Engineer - AI Infrastructure, you'll join a small, high-impact team that builds the systems connecting data collection, training, and deployment into a coherent platform. You'll work across data pipelines, internal tooling, and visualization, shipping real features from day one as we build out the production ML infrastructure behind a robotics company pushing the boundaries of what's possible with dexterous manipulation.

Responsibilities

• Scale and improve data processing pipelines that handle robotics data at growing scale, from ingestion through quality checks to training-ready datasets
• Build and maintain data quality tooling, including anomaly detection, validation checks, and profiling, to ensure our data meets the standards required for training
• Develop and maintain internal visualization tools, improving how the team and researchers inspect, understand, and qualify data
• Write well-tested, well-documented code that is easy for others to maintain and extend

Requirements

• Strong Python fundamentals: You write clean, readable, well-structured code and understand data structures and performance tradeoffs.
• Strong Software Engineering foundations: You understand and work consistently with Git and Github, focusing on writing modular and maintainable code and proactively think of high-level refactors to keep systems understandable, well-scoped and clear.
• Strong foundation in data engineering concepts: familiarity with ELT/ETL pipeline design, storage formats, and data quality practices for validation, anomaly detection, or statistical profiling.
• You're a clear communicator who can explain technical decisions, collaborate across teams, and keep people informed without being asked.
• You’re proactive and motivated to contribute meaningfully while learning from those around you.
• You're genuinely excited about robots that learn from real-world data.

Nice to Have

• Experience with robotics or sensor data (video, point clouds, time series from physical systems).
• Experience with web frameworks (FastAPI) or frontend tools (React).
• Experience with ML Infra fundamentals: Pytorch, dataloading, training loop, profiling, inference.