Lead the design and evolution of Wayve's core compute and storage systems for large‑scale AI workloads. Define global compute strategy, petabyte‑scale data federation, and cross‑region GPU execution while advising leadership on investment. Requires 10+ years in distributed systems, GPU cloud infrastructure, and petabyte‑scale data architecture.
Key Highlights
Design and guide compute and storage platforms for AI model development at petabyte scale
Define global GPU orchestration strategy across multiple data centres
Provide technical leadership, mentorship, and advisory support to senior leadership
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Key Responsibilities
Design and guide the evolution of Wayve's core compute and storage systems for AI workloads.
Define and implement a global compute strategy for allocating and orchestrating training and inference across thousands of GPUs.
Design petabyte‑scale data federation systems for fast, reliable access to sensor and simulation data across geographies.
Build foundations for cross‑region GPU job execution in hybrid and multi‑cloud environments.
Advise leadership on compute investment, architecture alignment, and performance goals.
Provide technical leadership and mentorship, coaching engineers on architecture and operational excellence.
Technical Skills Required
Distributed Systems
GPU Cloud Infrastructure
Petabyte-scale Data Architecture
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Benefits & Perks
Market‑benchmark salaries
Equity participation
Relocation support and visa sponsorship
Hybrid working model
Learning and development budget
Comprehensive health, dental, and wellbeing benefits
Nice to Have
Experience with multi‑cloud orchestration for latency‑ or cost‑sensitive AI pipelines
Familiarity with systems such as Ray, Kubernetes, Airflow, or Flyte
Background supporting safety‑critical or real‑time inference use cases
Interest in building infrastructure as a product for research and product teams
Job Description
Before the detail, here's the challenge you'd help us solve.We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.Here’s what this particular role covers.
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