Robotic precision sprayers for chemical-free crop protection
Ecorobotix manufactures autonomous spraying robots designed to reduce chemical and water use in agriculture while maintaining yield. The stack—Python, PyTorch, scikit-learn, React, Docker on AWS—indicates a ML-forward engineering approach for crop disease prediction and autonomous targeting. Hiring velocity is accelerating with a sales-led (14 roles) and support-heavy (13 roles) mix relative to engineering (4 roles), paired with active projects in dealer enablement and customer onboarding, suggesting aggressive commercial scaling of a product still navigating adoption and regulatory hurdles.
Notable leadership hires: Sales Director
Ecorobotix, founded in 2014 and based in Yverdon-les-Bains, Switzerland, designs and manufactures autonomous agricultural robots that apply crop protection products with minimal chemical spray and water waste. The company sells precision turf sprayers and crop protection systems to farmers and turf managers. Active challenges include regulatory compliance across markets, optimizing machine performance to meet production targets, and reducing customer onboarding friction—all areas reflected in current hiring and project focus. The organization operates across Switzerland, France, and the United States.
Core stack: Python, PyTorch, scikit-learn for ML; React and TypeScript for frontend; Node.js backend; Docker and Git for CI/CD; AWS and Azure for cloud infrastructure. Also uses SQL, Bash, and Linux for data and systems work.
Ecorobotix employs 201–500 people. Current hiring velocity is accelerating, with emphasis on sales, support, and operations roles to scale market expansion.
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