Wayve
This hands-on role focuses on optimizing inference performance for large transformer-based models on edge accelerators and GPUs for autonomous driving systems. The position involves profiling model graphs, implementing compiler and runtime optimizations, and building benchmarking tools to ensure efficient deployment on in-vehicle compute platforms. The engineer will collaborate with model and deployment teams to make performance-aware decisions and improve production systems.
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.
72% above the average for this role
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