Principal Engineer, Data & Compute jobs in United States
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Wayve · 21 hours ago

Principal Engineer, Data & Compute

Wayve is the leading developer of Embodied AI technology, focused on creating autonomy that propels the world forward. The Principal Engineer will design and guide the evolution of foundational compute and storage systems that fuel model development, ensuring optimal performance and efficiency in AI workloads.

Artificial Intelligence (AI)Autonomous VehiclesElectric VehicleMachine Learning
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Growth Opportunities
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H1B Sponsor Likelynote

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

Qualification

Large-scale distributed systemsGPU-based cloud infrastructurePetabyte-scale data architectureMulti-cloud orchestrationAI/ML job schedulingInfrastructure-as-code practicesTechnical leadershipMentorship

Required

10+ years designing and building large-scale distributed systems, with at least 4 years focused on GPU-based cloud infrastructure
Proven experience enabling large-scale AI training, inference, or computer vision workloads in GPU clusters
Deep understanding of petabyte-scale data architecture, including storage federation, high-throughput access, and data locality for AI workloads
Strong technical leadership with a track record of defining and communicating architectural strategy, balancing long-term vision with delivery needs
A natural mentor with a history of developing engineers and influencing technical direction across teams
Advanced degree in Computer Science, Electrical Engineering, or a related field—or equivalent industry experience

Preferred

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

Company

Wayve develops AI software for automated driving that learns from data to navigate environments.

H1B Sponsorship

Wayve has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (34)
2024 (5)
2023 (1)
2022 (3)

Funding

Current Stage
Growth Stage
Total Funding
$1.26B
Key Investors
Innovate UKUberSoftBank
2025-07-28Grant
2024-08-29Series C
2024-05-06Series C· $1B

Leadership Team

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Alex Kendall
Co-Founder & CEO
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Max Warburton
Chief Financial Officer
Company data provided by crunchbase