Description

As a Robotics Software Engineer for Large-Scale Learning, you will focus on building the tools and infrastructure needed for data collection and model training, ensuring that datasets are ready for machine learning across various robotic tasks.

Requirements

• •Bachelor’s or Master’s degree in Engineering, Computer Science, or related field or equivalent professional experience
• •2 years of professional software development experience in Python or Go
• •Track record of working in a lab environment and conducting physical experiments on mechatronic industrial hardware
• •Strong motivation to work closely with partners and cross-functional teams in a fast-paced environment
• •Business fluency in English
• •Experience managing cloud-based ML training and familiarity with Argo Workflows
• •Experience in large-scale data collection from mechatronic systems (e.g., robotics, automotive, or consumer electronics)
• •Deep understanding of industrial robotics and automation equipment
• •Expertise in Reinforcement Learning (RL) and/or Learning from Demonstration (LfD)
• •Familiarity with Google Cloud services, specifically Storage, BigQuery, Firestore, and Kubernetes Engine (GKE)
• •Professional software development experience in C++, preferably within robotics or mechatronic systems

Tasks

• •Build infrastructure for data collection and model training
• •Design data collection workflows
• •Manage robot hardware experiments in manufacturing
• •Orchestrate data acquisition from distributed workcells
• •Utilize internal cloud for long-term data storage
• •Ensure dataset availability for ML training
• •Contribute to core training pipelines
• •Validate model performance across various tasks
• •Leverage internal cloud and ML infrastructure for dataset generation
• •Build and maintain internal tools for dataset processing
• •Streamline collection and inspection of datasets
• •Support and optimize ML training pipelines for scalability

Tools & Technologies