About the job
At Wayve, we are dedicated to fostering a diverse, equitable, and inclusive culture that values the unique skills and perspectives of every individual, regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related conditions (including breastfeeding), or any other status protected by applicable law.
About Us
Established in 2017, Wayve stands at the forefront of Embodied AI technology. Our cutting-edge AI software and foundational models empower vehicles to perceive, comprehend, and navigate complex environments, significantly enhancing the safety and functionality of automated driving systems.
Our mission is to drive the evolution of autonomy that moves the world forward. Our innovative, mapless, and hardware-agnostic AI solutions are tailored for automakers, expediting the transition from assisted to fully automated driving. In our dynamic environment, we thrive on tackling significant challenges, embracing uncertainty to unlock pioneering solutions. We aim high while remaining humble in our pursuit of excellence, continuously learning and adapting as we pave the path toward a smarter, safer future.
Your contributions at Wayve are impactful. We celebrate diversity, welcome fresh perspectives, and cultivate an inclusive workplace where we support one another in creating meaningful results.
Make Wayve the defining experience of your career!
The Role
In this position, you will have the opportunity to work with Wayve’s advanced on-vehicle computing and sensor platform while contributing to all stages of the software development lifecycle. As a vital member of the Robot Software, Inference & Accelerators team, you will collaborate with colleagues to develop software for edge devices, enabling data-driven autonomy across a vast fleet of vehicles. You will closely partner with our Autonomy and Science teams to ensure they have the necessary data and interfaces to train models, conduct experiments, and gather insights on driving performance. Your responsibilities will include delivering software layers that extend our inference abstractions to new hardware and accelerators, ensuring timely delivery of data, and creating a dynamically configurable system. A key aspect of your role will be to ensure that the software you develop operates reliably at scale.
