Staff Machine Learning Performance Engineer, Inference Optimisation
Wayve
About this role
A Staff/Principal ML Performance Engineer leading high-impact projects to optimise ML inference for edge accelerators and GPUs, enabling Wayve’s first driving product. The role focuses on running large transformer-based models efficiently on low-cost, low-power edge devices and operates at the intersection of ML compilers, kernels, and ML engineering. It involves building technical roadmaps, collaborating across teams, and contributing to early-stage product development.
Skills
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
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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
$148k – $199k
per year