Senior Machine Learning Infrastructure Engineer

at Morph — Fast Models Optimized for Coding Agents

San Francisco, CA, USFull-time3+ years$130K - $185K1.50% equityYC-S23

What the role involves

Goal: 99.99% uptime

We serve custom inference stacks that have irregular GPU load.

We're looking for people that have done genuinely amazing work in infrastructure that are interested in a challenge, working with both traditional infrastructure such as load balancers, NLB, etc., as well as very different infrastructure around inference engines and GPU loads.

This is a role that will inherently require deep experience with inference engines.

Contributions to vLLM, SGLang, trtllm, or inference frameworks a plus.

Every role at Morph comes with unlimited tokens on claude code/codex

About Morph

Specialized inference optimization for codegen Fast Open-Source models: Deepseek v4 flash, qwen 397b, at 200+ tps Specialized models for applying edits, code search, compaction, and model routing

Full Morph profile

Other roles at Morph

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