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Gravis Robotics is a high-growth Series A start-up backed by SoftBank, bringing Physical AI to the construction industry, turning heavy construction machines into autonomous robots. Gravis began as an ETH Zurich…
Lead Gravis Robotics' MLOps team in Zurich, owning the technical vision and people leadership for the full ML lifecycle — from petabyte-scale LiDAR/camera/GNSS sensor data ingestion to training and deploying models across thousands of edge devices on autonomous construction machines. Core stack: Kubernetes (cloud + on-prem), AWS/GCP/Azure, MLflow/W&B/DVC, and CI/CD with Infrastructure as Code.
Machine Learning Engineer bridging the sim2real gap for Gravis Robotics' autonomous construction machines: builds ML models of machine dynamics, defines validation metrics for model fidelity and sim2real transfer, and monitors performance changes over time. Core stack is Python, PyTorch, and git, with RL and system-identification experience valued.
The Senior Embedded Linux Engineer will own the embedded platform for autonomous construction machinery, managing the bootloader, kernel, and root filesystem. The role involves hardware bring-up, driver development, and maintaining CI/CD pipelines for systems running on custom hardware and NVIDIA Jetson platforms.
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