Cloud Inference Engineer
Luminal, San Francisco
The role
Founding, on site in downtown SF. Ship low latency, high throughput model serving on Luminal Cloud.
What you will do
- Deploy and tune models with optimizations like KV caching, paged attention, sequence packing, etc.
- Conducting model performance reviews
- Improve scheduler, batcher, autoscaling; profile latency, cost, utilization
- Sometimes write kernels and, yes, occasional tasteful shitposting
What you need
- CUDA + GPU inference optimization
- vLLM, SGLang, or TensorRT-LLM experience
- KV caching, paged attention, batching, token streaming, etc.
- Distributed compute (with GPUs is a super plus)
- No degree required
Company
Luminal (YC S25) builds an AI compiler and serving stack that makes models 10x faster and production ready with one line.
Location and compensation
San Francisco, CA, US · Full-time · On-site. Annual base salary: $150,000–$250,000 USD. Equity: 0.15%–0.75%. Visa: US citizen/visa only.
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Pay not posted
Posted Aug 24, 2026