Principal Engineer, Data & Compute
Wayve · Sunnyvale, CA · 2 wk ago
Engineering$370k–$418k/yrFull-time
About the role
The Role
In order to set you up for success at Wayve, we’re looking for the following skills and experience.
Key Responsibilities
- Global Compute Strategy – Define and evolve the architecture for how Wayve allocates and orchestrates training and inference workloads across thousands of GPUs and multiple data centers, ensuring optimal throughput, resiliency, and cost efficiency.
- Petabyte-Scale Data Federation – Design systems that enable fast, reliable access to high-volume sensor and simulation data across geographies, ensuring the right data is always available for training, evaluation, and inference. Furthermore, preparing Wayve for being an exabyte-scale company.
- Cross-Region GPU Job Execution – Build the foundations that enable large-scale AI workloads to run seamlessly across hybrid and multi-cloud environments.
- Cloud Infrastructure Advisory – Act as a trusted partner to leadership in aligning compute investments and architecture with company strategy, growth plans, and performance goals.
- Technical Leadership & Mentorship – Uplift the broader engineering org through architectural coaching, technical deep dives, and by cultivating a culture of operational and engineering excellence.
About You
- Essential
- Experience with multi-cloud orchestration, particularly in latency- or cost-sensitive training and inference pipelines.
- Familiarity with systems like Ray, Kubernetes, Airflow, or Flyte, and deep fluency in AI/ML job scheduling, model lifecycle management, and infrastructure-as-code practices.
- Background in supporting safety-critical or real-time inference use cases (e.g., robotics, autonomous vehicles, aerospace).
- Passion for building infrastructure-as-a-product that delivers performance and simplicity to research and product teams alike.