Staff Machine Learning Engineer, Inference Optimisation
Wayve
About this role
A Staff/Principal Machine Learning Engineer on the ML Optimisation team focused on making Wayve’s driving model efficient enough to run on consumer-grade GPUs and edge accelerators at scale. The role centers on enabling large transformer-based models to operate on low-cost, low-power edge devices to support Wayve’s driving product and mass deployment to customer vehicles. It involves leading high-impact early-stage projects and working closely with cross-functional model developers and scientists to drive innovation and delivery.
Skills
Qualifications
About Wayve
firststage.coFirst is an AI-powered hiring platform that helps companies automate recruiting with intelligent candidate screening, fair assessments, and a strong focus on world-class candidate experience. The product includes AI pipeline management and hiring workflows to surface top talent, reduce bias, and cut down administrative work for recruiters. Designed for industry-leading teams, First integrates quickly and can be deployed in minutes with options tailored to scaling organizations.
Recent company news
Wayve, an A.I. Driverless Car Start-Up in Europe, Raises $1.2 Billion
3 weeks ago
Nvidia, Microsoft back self-driving firm Wayve as it hits $8.6 billion valuation
3 weeks ago
Global tech firms flock to Japan for robotaxis in Nissan-Uber-Wayve deal, Nuro trials
5 days ago
Driverless car firm Wayve bags £1.1bn investment to help launch on UK roads
19 hours ago
AI that drives change: Wayve rewrites self-driving playbook with deep learning in Azure
Jan 8, 2026
About Wayve
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
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
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View leadership team, funding history,
and employee contacts for Wayve.
Salary
$132k – $179k
per year