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This information is not specified in the job description.
The role is based in Sunnyvale, but specific details on remote or hybrid work arrangements are not provided.
The role requires expertise in leading teams to design and scale indexing systems, defining technical architecture for embedding-based retrieval (e.g., CLIP), metadata-based querying, and multi-modal index structures, as well as establishing engineering rituals like planning and standups.
Wayve fosters a diverse, fair, respectful, and inclusive culture that values unique skills and perspectives, embraces uncertainty and complex challenges, aims high while staying humble, and backs team members to deliver impact in a fast-paced environment.
Strong candidates will have experience leading and growing engineering teams, particularly in scaling infrastructure for large-scale data systems like video indexing and search, with the ability to define technical architecture and establish delivery processes.
Develops autonomous vehicle technology using AI
Wayve.ai develops self-driving technology known as AV2.0, which focuses on creating a smarter and safer approach to autonomous vehicles. Their technology uses embodied AI software that allows vehicles to learn from their experiences and adapt to different environments without needing detailed programming. This method is different from traditional self-driving technologies that often rely on expensive hardware and pre-mapped data. Instead, Wayve.ai employs end-to-end deep learning, making their solution more cost-effective for automakers. The company targets automakers and fleet operators, offering them adaptable and affordable solutions for driving automation. Wayve.ai has already partnered with major retailers in the UK to test its technology in delivery fleets, aiming to enhance mobility and sustainability in the automotive industry.