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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading and developing engineering teams focused on multi-cloud, multi-region training and inference platforms, with a strong emphasis on Kubernetes infrastructure and performance management. Proven ability to balance operational reliability with strategic platform improvements while fostering team growth and collaboration.
Highest-signal resume keywords
Kubernetes ManagementDistributed Systems EngineeringPerformance ManagementGPU Compute InfrastructureTeam Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
KubernetesWorkload Queuing SystemsGPU Compute InfrastructureProject PrioritizationRoadmap PlanningRisk ManagementData Access OptimizationPerformance AnalysisCapacity PlanningCost Management
Soft Skills
CoachingClear CommunicationTrust BuildingFeedback DeliveryAmbiguity Resolution
Tools & Technologies
Nvidia HopperBlackwellQualcomm Compute ArchitecturesDashboardsKPIs
Industry Keywords
Multi-Cloud InfrastructureMachine LearningInference PlatformsPerformance MetricsCloud Providers
Tech Stack
Tools & technologiesCloudDistributed SystemsKubernetes
About the role
Key responsibilities & impact- Lead and develop the Compute Foundations engineering team
- Coach engineers through regular feedback and one-to-ones, manage performance, support career development and build a healthy, performant and accountable team
- Lead hiring and onboarding as the team expands
- Develop technical leads who can take ownership of key platform areas
- Own project prioritisation and roadmap planning
- Translate training and inference needs into priorities and align commitments with available resources
- Surface risks and dependencies early
- Guide the evolution and operation of a multi-cloud, multi-region training and inference platform
- Oversee Kubernetes-based infrastructure and queuing and scheduling systems across heterogeneous GPU environments
- Guide adoption of Nvidia Hopper, Blackwell and Qualcomm compute architectures
- Partner with stakeholders and cloud providers on compute and storage forecasts
- Balance reliability, performance, capacity and cost
- Guide distributed storage and caching approaches to improve data access and reduce duplication and cross-cloud transfer costs
- Provide visibility into system health through KPIs and dashboards
Requirements
What you’ll need- Strong track record of managing and developing an infrastructure, platform or distributed systems engineering team
- Experience with hiring, coaching, performance management and career development
- Experience delivering through others, owning team priorities and balancing delivery with operational reliability and longer-term platform improvements
- Substantial experience in Kubernetes and workload queuing and scheduling systems, such as Kueue or equivalent technologies
- Ability to reason about availability, capacity, performance and cost across complex cloud infrastructure
- Understanding of large-scale GPU compute infrastructure for machine learning training or inference
- Ability to earn engineers’ trust through sound technical judgement
- Successful prior experience delivering as an individual contributor
- Clear communication with technical teams, stakeholders and external providers
- Ability to turn ambiguous requirements into practical priorities
- Ability to work from the London office and lead a team based there
Benefits
Comp & perks- Meaningful equity, sharing in the ownership and long term success of Wayve
- Relocation support and visa sponsorship where applicable
- Hybrid working and core hours
- Learning and development budgets with support for training, conferences and growth
- Comprehensive health insurance
- Dental benefits
- Enhanced maternity and paternity leave
- Retirement or pension where applicable
- Access to therapists
- Wellbeing partnerships
- Team socials
- Opportunity to work hands on in vehicle workshops and labs