Hyperscale AI Simulation Architect

Coreweaveu

Greater London

On-site

GBP 120,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Family-level Medical Insurance
Family-level Dental Insurance
Generous Pension Contribution
Life Assurance at 4x Salary
Critical Illness Cover
Employee Assistance Programme
Tuition Reimbursement
Work culture focused on innovative dis
Disruption

Job summary

CoreWeave is looking for a Principal Engineer for Hyperscale Simulation Software to shape the product and technical strategy for GPU-driven simulation, digital twins, and embodied AI workloads. You will drive architecture across the stack and partner with enterprise customers to deliver high‑value, revenue‑generating solutions.

The role demands hands‑on leadership, cross‑functional collaboration, and the ability to translate complex requirements into scalable platform features, while aligning

Qualifications

  • Founding/leading or early-architect roles in deep‑tech platforms with commercial deployment.
  • Hands-on experience building real‑time distributed systems under latency and scale constraints.
  • Ability to operate across system architecture, product strategy, and business development.

Responsibilities

  • Lead architectural decisions across the full stack from bare‑metal to APIs.
  • Partner with enterprise customers to translate platform capabilities into high‑value solutions.
  • Define overarching product and technical strategy and roadmap for hyperscale simulation.

Skills

Deep-tech platforms
Real-time distributed systems
Cross-functional leadership
Customer workflow gaps
Full-stack architecture
Bare-metal topology

Tools

NVIDIA software platforms

Job description

CoreWeave is looking for a Principal Engineer for Hyperscale Simulation Software to shape the product and technical strategy for GPU-driven simulation, digital twins, and embodied AI workloads. You will drive architecture across the stack and partner with enterprise customers to deliver high‑value, revenue‑generating solutions.

The role demands hands‑on leadership, cross‑functional collaboration, and the ability to translate complex requirements into scalable platform features, while aligning

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