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Wayve is seeking an Engineering Manager for the ML Compiler team to lead efforts in deploying driving models on embedded systems for autonomous vehicles. This role provides an exciting opportunity to manage high-impact projects and collaborate with cross-functional teams. Candidates should have experience in managing teams and a background in machine learning compilers, delivering innovative solutions for product deployments.
At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and 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 condition (including breastfeeding) or any other basis as protected by applicable law.
About us
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!
The role
As the Engineering Manager for the ML Compiler team, you'll lead the team responsible for compiling driving models for deployment on embedded SoCs and accelerators on the autonomous vehicle. The focus of this team is to run large transformer-based models efficiently in low-cost, low-power edge devices to enable Wayve's first driving product. This is an exciting opportunity to lead in several high impact, early stage projects at Wayve with the ultimate goal of enabling product deployments onto millions of customer vehicles around the world.
Key responsibilities: