Backed by SoftBank VF and Air Street.
About the role
We are hiring a senior Software Engineer to build the platform that powers Wayve’s data flywheel and foundation-model stack. This is the engineering counterpart to our Applied Scientist and ML Engineer roles : you build the systems they, and the wider company, depend on. It is high-leverage, high-visibility work with a clear path to deep system ownership.
What they're looking for
- Strong production software engineering , especially production Python (services, APIs, large-scale data processing), and comfort owning and extending large codebases
- Systems design for scale: reliable, observable, high-throughput data or ML systems, with strong SQL and query and performance optimization
- A track record of shipping and operating production systems that other teams depend on: testing, code review, observability, and on-call
- Strong CS fundamentals and several years of production experience, or equivalent, a degree in CS or comparable practical experience
More about this role
Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.
Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.
At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
Make Wayve the experience that defines your career!
Wayve is building embodied AI for the physical world , starting with autonomous driving. Instead of the hand-engineered, modular stacks that defined the first era of self-driving, we pioneered AV2.0: a single,...
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