Field CTO, Media & Entertainment AI Infrastructure

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NebiusCloud AI Infrastructure
You are welcome to work remotely from the United StatesFull-TimeSenior
Salary200,000 - 245,000 USD per year
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Job Details

Experience
12+ years
Required Skills
KubernetesDistributed Systems

Requirements

  • 12+ years of experience in cloud infrastructure, platform engineering, distributed systems, or a closely related technical domain.
  • Expert-level, production-grade knowledge of GPU architectures including H100 and L40s.
  • Deep expertise in Kubernetes orchestration, including Soperator.
  • Hands-on experience with high-performance and parallel file systems such as Lustre and WEKA.
  • Knowledge of networking constraints including InfiniBand and Ethernet.
  • Expertise in inference optimization, including model serving nuances, batch sizes, quantization, and latency trade-offs.
  • Demonstrated experience in a leadership or senior architect capacity operating at the C-suite level.
  • Proven ability to translate technical strategy into scalable reference architectures and integration playbooks.
  • Experience in M&E sub-sectors such as gaming, multimodal generative models, AdTech, or VFX content production.
  • Strong product-minded approach with experience defining platform strategy.

Responsibilities

  • Architect infrastructure solutions for strategic M&E partnerships, content production pipelines, and generative AI model deployments.
  • Demonstrate the impact of infrastructure decisions such as storage tiering and inference optimization on business models to executive stakeholders.
  • Translate complex business goals into precise engineering requirements for infrastructure optimization.
  • Identify, engage, and technically validate relationships with critical ISVs in media, entertainment, and generative AI.
  • Define and publish reference architectures for running industry-standard tools on Nebius infrastructure.
  • Collaborate with the global Head of Product and Head of Engineering to influence and prioritize the vertical roadmap based on field evidence.
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200,000 - 245,000 USD per year
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