Descripción del puesto
RIVR, part of Amazon is a robotics company pioneering Physical AI through real-world doorstep delivery. Founded in 2024 as an ETH Zurich spin-off, RIVR developed wheeled-legged robots designed to operate in complex, unstructured environments such as stairs, gates, doors, and uneven urban terrain. We believe that achieving general physical intelligence requires solving real customer problems in the real world, where robots can learn from rich operational data at scale.
Following our acquisition by Amazon in March 2026, we are continuing this mission with greater reach and speed. By combining custom robot hardware, onboard autonomy, and cloud-based coordination, RIVR, part of Amazon is building the next generation of safe, reliable autonomous robots for last-mile delivery
What you’ll be doing
What you must have
Get some bonus points
Find more English Speaking Jobs in Switzerland on Arbeitnow
Trabajos Similares
Senior Backend Engineer: Machine Learning Infrastructure
Constructor • Remote - EMEA
Staff Data Engineer
Overstory
Head of AI Engineering (F/M/*)
Amber • Köln
Product Engineer
0G • Remote
Junior Software Engineer - GTM Products
Wingtra 2 • Zürich
Software Engineer - GTM Products
Wingtra 2 • Eastern Europe, Baltics & Balkans
Cómo postular
Sobre Rivr
Rivr
Zürich
Preguntas frecuentes
Where is the Senior AI Engineer - VLA Foundation Model position at Rivr located?
The Senior AI Engineer - VLA Foundation Model role at Rivr is based in Zürich.
What type of employment is the Senior AI Engineer - VLA Foundation Model role at Rivr?
This Senior AI Engineer - VLA Foundation Model position is offered as Full-Time.
What skills are needed for the Senior AI Engineer - VLA Foundation Model role at Rivr?
Key skills and focus areas for this role include Embodied AI.
How do I apply for the Senior AI Engineer - VLA Foundation Model position at Rivr?
You can apply for the Senior AI Engineer - VLA Foundation Model role at Rivr directly from this page. Create a professional, ATS-ready resume with Clever CV to strengthen your application before you apply.