About this role
Wayve is hiring a Machine Learning Software Engineer to join the Multi-Embodiment Generalist Agent team in Sunnyvale, California. This role suits software professionals who want to build foundational infrastructure for general-purpose robots and autonomous systems.
Role Overview
The Machine Learning Software Engineer will join as a founding member of the Multi-Embodiment Generalist Agent team within Wayve Science. The role involves designing and building the software systems, scalable ML pipelines, and data infrastructure that enable machine learning research for general-purpose robots. The position is based in Sunnyvale, California, with a hybrid working model combining office collaboration and remote flexibility.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
Wayve builds embodied intelligence and AI platforms for autonomous driving and general-purpose robotics. The company uses an end-to-end AI approach that allows vehicles and machines to learn directly from real-world experience, scaling from L2 plus to L4 automation across global OEM partnerships. Wayve operates major hubs in London, Sunnyvale, Yokohama, Herzliya, Vancouver, and Leonberg.
How to Apply
Apply directly on the official company careers page by submitting your application online.
Skills and tech stack
Questions candidates ask
Where is this role located?
This role is located in Sunnyvale, California USA, and operates on a hybrid working model combining office collaboration with remote flexibility.
What is the salary range for this position?
The salary ranges from $311,850 to $419,760, along with offered equity.
What team will the engineer join?
The engineer will join as a founding member of the Multi-Embodiment Generalist Agent team within Wayve Science.
Is visa sponsorship available?
Yes, relocation support and visa sponsorship are available where applicable.
What does the interview process look like?
The process includes an initial recruiter screen, competency interviews covering programming and a hiring manager chat, deep-dive technical interviews on systems and domain specifics, and a final mission and values alignment interview.
