Software Engineer, Inference
Luma AI · Remote, EU
CHECKED 10M AGO
Applied AIremote
At a glance
Highlights
- Own how Luma's models get served at massive scale.
- Scale inference deployments across thousands of machines.
- Build scheduling systems to optimize GPU use while meeting SLOs.
Ideal candidate
A strong systems engineer who loves large-scale reliability and efficiency and wants to own the systems that serve models, not 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, deployment, 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