Platform Architect
TetraScienceFull Time
Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
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Key skills include architecting full-stack platforms across frontend, backend, APIs, IAM, observability, and cloud infrastructure; designing for scalability, modularity, high availability, security, and performance; and maintaining architecture blueprints, decision logs, schema definitions, and interface contracts.
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.
A strong candidate will have expertise as a technical authority in system architecture for secure, scalable SaaS platforms, experience collaborating with third-party teams and security experts, and the ability to define NFRs like performance, security, and disaster recovery across diverse environments.
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.