Senior AI Infrastructure Architect - GPUs, Data & Scale

Wayve; Sunnyvale (CA); Hybrid; USD 370,000 - 418,000; Full time

Benefits offered by this job

Equity package

Hybrid work policy

Job summary

Wayve in Sunnyvale, CA is seeking an Architect for AI Infrastructure to shape the compute and storage backbone for our model development lifecycle. You will lead across global GPU clusters, data centers, and hybrid cloud environments to accelerate research and deployment of autonomous driving AI.

Ideal candidates have 10+ years building large-scale distributed systems, deep data architecture experience, and strong leadership.

Qualifications

• 10+ years designing and building large-scale distributed systems, incl. GPU-based infrastructure.
• Proven experience enabling large-scale AI training and inference in GPU clusters.
• Deep understanding of petabyte-scale data architecture with storage federation.
• Advanced degree or equivalent industry experience in CS/EE.

Responsibilities

• Global Compute Strategy – architect training and inference workloads across GPUs and data centers.
• Petabyte-Scale Data Federation – design systems for fast, reliable data access.
• Cross-Region GPU Job Execution – enable large-scale workloads in multi-region/multi-cloud.
• Cloud Infrastructure Advisory – align compute investments with company strategy.
• Technical Leadership & Mentorship – uplift engineering through coaching and best practices.

Skills

Large-scale distributed systems

GPU-based cloud infrastructure

AI training/inference workloads in GPU

Technical leadership

Mentoring engineers

Architectural strategy communication

Education

Advanced degree in Computer Science or Electrical Engineering

Tools

Ray

Kubernetes

Airflow

Flyte

Job description

Wayve in Sunnyvale, CA is seeking an Architect for AI Infrastructure to shape the compute and storage backbone for our model development lifecycle. You will lead across global GPU clusters, data centers, and hybrid cloud environments to accelerate research and deployment of autonomous driving AI.

Ideal candidates have 10+ years building large-scale distributed systems, deep data architecture experience, and strong leadership.