Morph (YC S23) Is Hiring Member of Technical Stuff

Morph (YC S23), a startup building inference infrastructure for open coding models, is hiring a performance engineer to optimize its stack spanning kernels, model serving, routing, autoscaling, and capacity. The role involves working directly with founders on PD disaggregation research and custom speculative-decoding models, with a 2-day work trial. The company aims to make frontier-scale model serving faster, cheaper, and more reliable.

Fast Models Optimized for Coding Agents The best candidates would be top 1% at multiple parts of the inference stack. work on PD disaggregation research Morph builds the inference infrastructure behind the fastest open models. Our stack spans kernels, model serving, routing, autoscaling, and capacity. We are hiring a performance engineer to make the entire system faster, cheaper, and more reliable. You will work directly with the founders on problems that determine how efficiently frontier-scale models can be served. Small team, enormous compute, immediate production impact. 2 day work trial Morph builds specialized code-generation models and serves them on a custom inference stack. Technical work involves autoresearch for kernels and custom speculative-decoding models.