Member of Technical Staff

About Morph

Fast Models Optimized for Coding Agents

Tech

Nvidia, CUDA, FastAPI

The role

Morph was a 1 person company from 0 → 10M of revenue. We will be the first 10 person $10b company.Every employee should contribute >30M of revenue/yr to the company.The best candidates would be top 1% at multiple parts of the inference stack, yet have breadth across the whole stack.Morph builds high margin inference infrastructure. Our stack spans kernels, model serving, routing, autoscaling, and capacity.### What you’ll do* Find the gap between theoretical hardware performance and production performance* Trace latency and throughput regressions from the API layer down to individual kernels* Optimize batching, scheduling, routing, quantization, and distributed execution* Work on new research directions around caching* Work with NVLink and RoCE* Validate that every optimization preserves model quality and correctness### You might be a fit if you* Have optimized complex production systems* Can juggle 8+ Codex/Claude/other coding agents concurrently* Understand GPU performance, memory bandwidth, collectives, and inference serving* Are strong in Python, CuTEdsl, and comfortable navigating unfamiliar codebases* Care about tokens per second, tokens per dollar, and correctness equallyYou 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.