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← Luma AI

Software Engineer, Inference

Luma AI · London, UK · Remote, UK

CHECKED 22H AGO

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At a glance

Highlights

  • Own how Luma's models get served at large scale across clusters.
  • Scale deployments across thousands of machines to meet internal SLOs.
  • Build scheduling systems that keep expensive GPU fleets busy and reliable.

Ideal candidate

A strong systems thinker who thrives on large-scale reliability and efficiency and prefers building the systems that run models over pure modeling research.

Requirements

  • Strong Python and system-architecture skills
  • Experience deploying models with PyTorch, Hugging Face, vLLM, SGLang, TensorRT-LLM or similar
  • Experience with queues, scheduling, traffic control and fleet management at scale
  • Experience with Linux, Docker and Kubernetes including orchestration and scheduling
  • Familiarity with Redis and S3-compatible storage

Lab profile

About Luma AI

Builds generative AI models for photorealistic video and 3D creation.

What they build

  • Dream Machine video generator
  • Ray2 video model
  • Photon image model

Known for

  • Photorealistic video synthesis
  • 3D world and object generation
  • Large-scale training infrastructure
  • High-performance inference optimization

Key facts

  • Founded in 2021
  • Headquartered in San Francisco, California
  • Backed by Andreessen Horowitz
More about Luma AI →
Apply on the lab’s site ↗