Luma AI
Tech Lead Manager, Inference
Redwood City, CA · Senior
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About the role
- It's leadership by shipping: at least half your time stays hands-on in the serving stack, alongside hiring, growing the team, and setting technical direction.
- If you want a hands-off management seat, this isn't it.
- We believe multimodality is critical for intelligence - the next step beyond language models comes from vision.
Requirements
- Strong Python and PyTorch, Kubernetes at scale, and experience with queues, scheduling, traffic control, and fleet management.
- 8+ years in large-scale distributed systems or ML infrastructure, with several years building and operating model-serving or inference platforms in production.
Nice to have
- Experience serving diffusion, video, or other multimodal generative models, and with FFmpeg/multimedia processing.
- Modern networking stacks - RDMA (RoCE, InfiniBand), NVLink - and multi-node serving topologies.
- Experience across heterogeneous accelerators (NVIDIA, AMD, TPU, Trainium) and the porting and validation that comes with them.
- Contributions to open-source serving infrastructure (vLLM, SGLang, Ray, Kubernetes ecosystem).
- Systems-language depth (Rust, C++, CUDA/HIP) for kernel- and runtime-level optimization.
- Luma is an equal opportunity employer.
- Experience running inference platforms at the thousands-of-GPUs scale across multiple clusters or clouds, and knowing what breaks there.
- Technical leadership experience through rapid growth, with a genuine desire to stay at least half hands-on.
Compensation
- $30k-$60k
Company info
- Luma's mission is to build unified general intelligence that can generate, understand, and operate in the physical world.
This listing is sourced directly from Luma AI's careers page and normalized into a canonical job model.