Wayve
The ML Compiler Engineer owns the end-to-end ML compilation pipeline, designing and implementing compiler passes to deploy models on NVIDIA and Qualcomm embedded hardware. This role focuses on building scalable infrastructure, optimizing for accuracy and latency, and partnering with model teams to ensure compilability across various target platforms. The position involves setting technical direction and mentoring within a small, high-leverage team.
Headquarters
London, England, United Kingdom
Company Size
201-500 employees
Founded
2017
Wayve is a UK-founded autonomous driving company developing "embodied AI" — end-to-end learning systems that enable vehicles to perceive, reason and act in complex, dynamic environments. Their camera-first, data-driven approach trains neural policies from real-world driving and simulation to scale capability across locations and vehicle platforms rather than relying on hand-engineered, map-heavy rules. Wayve builds software for both advanced driver assistance and full automated-driving applications, emphasizing adaptability and continual learning. They work with OEMs and fleet partners to commercialize scalable autonomy for real-world deployment.
Wayve, an A.I. Driverless Car Start-Up in Europe, Raises $1.2 Billion
2 weeks ago
Nvidia, Microsoft back self-driving firm Wayve as it hits $8.6 billion valuation
2 weeks ago
AI that drives change: Wayve rewrites self-driving playbook with deep learning in Azure
Jan 8, 2026
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Wayve.
Wayve didn’t post a salary, so this is our estimate from similar listings.
25% above the average for this role
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