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CoreWeave

Rents GPU cloud computing for AI developers

Principal Architect - Autonomous Vehicles

Cloud EngineeringUpdated on Nov 13
Full-timeLondon, UKIn-person

About the Job

Requirements

  • A proven track record of founding, leading, or architecting autonomous vehicle platforms, simulation systems, or AI infrastructure that reached production or commercial deployment.
  • Deep understanding of autonomous driving workflows, including perception, prediction, and planning, and how data, model training, simulation, and evaluation support their development.
  • Hands-on experience building distributed systems under demanding throughput, latency, reliability, and scale requirements.
  • Experience designing GPU-based training or simulation platforms, with a strong understanding of compute, networking, storage, and workload orchestration.
  • Familiarity with fleet data pipelines, sensor simulation, scenario generation, and closed-loop testing, including reproducibility and coverage of rare or difficult driving conditions.
  • Ability to identify where existing architectures limit customer outcomes, define practical alternatives, and build alignment across engineering, research, and product teams.
  • Demonstrated ability to connect system architecture with product strategy and business development, working directly with technical leaders and enterprise customers.

Responsibilities

  • Own the overarching product and technical strategy for CoreWeave's autonomous vehicle offering.
  • Shape the roadmap across data processing, distributed training, simulation, and validation, working alongside product, research, engineering, and commercial stakeholders.
  • Define how fleet data, sensor simulation, synthetic data generation, and closed-loop evaluation fit together into reproducible workflows, balancing simulation fidelity, throughput, reliability, and cost.
  • Partner directly with automotive manufacturers, suppliers, and autonomous vehicle developers to understand their requirements, identify capability gaps, and translate platform capabilities into deployed solutions.
  • Guide strategic customer engagements, establish reference architectures, and help turn technical advances into customer adoption and commercial growth.

Desired Qualifications

  • Interest in taking complex autonomy and AI infrastructure challenges from initial architectural design through commercially successful deployment.
  • Curiosity about how advances in simulation, synthetic data, and AI models can accelerate the development and validation of autonomous vehicles.
  • Enjoyment of working directly with customers and bringing engineering, research, and commercial teams together around a clear technical direction.

About the Company

CoreWeave

Rents GPU cloud computing for AI developers

CoreWeave rents cloud computing to AI labs and businesses that train models and run them in production for research and commercial applications. Its platform combines NVIDIA graphics chips, storage, networking, and software built for demanding AI workloads across connected clusters scaled to fit each project. CoreWeave Forge connects tools for tracking experiments, testing models, and improving AI systems using feedback from production. Customers rent computing capacity through committed contracts or usage charges, while managed services handle the infrastructure needed to keep large workloads running. CoreWeave was founded in 2017 and is headquartered in Livingston, New Jersey.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Livingston, NJ
Founded
2017

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