Engineering Manager, ML Compiler

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

• You will lead a team of ML Compiler engineers, breaking down large milestones into objectives which can be delivered by yourself and the team
• Together with tech leads, you'll form the roadmap and execute against it
• You'll collaborate closely with model developers, kernel engineers and software engineers across the business to drive innovation and delivery
• You'll have the opportunity to develop new skills and experience

About you
In order to set you up for success as an Engineer Manager at Wayve, we're looking for the following skills and experience.

Essential

• 2+ years managing a team within a relevant domain (3-10 people)
• Experience with ML Compilers and/or ML inference, e.g. any of MLIR, ONNX, TensorRT, QNN or similar
• Strong engineering background
• Excellent interpersonal and communication skills

Desirable

• Experience working on optimisation problems with hard latency and/or resource constraints
• Experience with Nvidia and Qualcomm SoCs and frameworks are valuable, but not required
• Proficiency with Python/C++

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

For more information visit Careers at Wayve.

To learn more about what drives us, visit Values at Wayve

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.