Cloud Inference Engineer
USD 150,000–250,000 / year
- Company
- Luminal
- Location
- San Francisco
- Work mode
- On-site
- Open to applicants from
- On-site/hybrid: local candidates
- Level
- Not specified
- Employment
- Full-time
- Field
- Software Engineering / Software engineer (general)
- Stated pay
- USD 150,000–250,000 / year
- Posted
- 2026-11-07 (8 days ago)
- Visa sponsorship mentioned
- Not mentioned
- Listing source
- Ashby
LLM
About the role
QUALIFICATIONS - 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. ROLE Founding, on site in downtown SF. Ship low latency, high throughput model serving on Luminal Cloud. Day to day responsibilities: - 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,…
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