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Senior Engineering Manager (Compute Foundations) - Multi-Cloud Infrastructure

wayve • United Kingdom
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Lead a London-based team building and maintaining a high-performance, multi-cloud, multi-region platform for AI training and inference. Focus on people leadership, technical roadmap, Kubernetes-based infrastructure, and cost optimization. Requires expertise in cloud compute, GPU scheduling, and team development.

Key Highlights
Lead a London-based team building a multi-cloud, multi-region AI infrastructure platform.
Focus on people leadership, technical roadmap, and Kubernetes-based workload scheduling.
Requires expertise in GPU compute, cloud cost optimization, and team development.
Key Responsibilities
Lead a team developing and maintaining a multi-cloud, multi-region AI infrastructure platform.
Manage team growth through hiring, onboarding, and technical leadership development.
Prioritize projects, align roadmaps with stakeholders, and ensure system visibility via KPIs.
Guide the evolution of cloud infrastructure, including GPU scheduling and cost optimization.
Oversee Kubernetes-based infrastructure and workload scheduling systems.
Technical Skills Required
Kubernetes Cloud Infrastructure (Multi-Cloud) Workload Scheduling (e.g., Kueue)
Benefits & Perks
Equity and long-term ownership
Relocation support and visa sponsorship
Hybrid working with core hours
Learning and development budgets
Comprehensive benefits (health insurance, dental, parental leave, retirement, wellbeing support)
Nice to Have
Experience with multi-cloud/region platforms.
Advanced GPU architecture knowledge (e.g., Nvidia Hopper, Blackwell).
Cost optimization strategies for large-scale cloud deployments.

Job Description

We build embodied intelligence for real vehicles and the future ecosystem for a billion machines. This role focuses on leading the Compute Foundations team, which builds and operates the large-scale cloud infrastructure enabling AI model training and inference.

Your day-to-day will include:

  • Coaching and developing engineers, setting expectations, and managing performance.
  • Guiding the team’s growth through hiring, onboarding, and technical leadership development.
  • Prioritizing projects, aligning roadmaps with stakeholders, and ensuring system visibility via KPIs and dashboards.
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