Morph (YC S23) Is Hiring Member of Technical Stuff
Morph, a Y Combinator-backed startup, is hiring a performance engineer to optimize its inference infrastructure for code-generation models. The company focuses on building specialized stacks for kernels, model serving, and speculative decoding to improve AI efficiency.
Why it matters
As AI models grow in scale, the infrastructure layer for efficient inference is becoming a critical bottleneck and a high-value area for technical innovation.
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The best candidates would be top 1% at multiple parts of the inference stack.
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.
Morph builds specialized code-generation models and serves them on a custom inference stack.
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