# Member of Technical Staff

**Company:** [Morph](https://zerogtalent.com/ai-companies/morph)
**Location:** San Francisco, CA, US
**Work mode:** On-site
**Seniority:** Senior
**Employment type:** Full Time
**Salary:** USD 180K–350K/yr
**Category:** Engineering
**Department:** Engineering
**Listed:** 2026-08-01

[View and apply on Zero G Talent](https://zerogtalent.com/ai-jobs/morph/member-of-technical-staff-102427)

## Job description

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 equally

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.

* * *

### Interview Process

2 day work trial

## Other open roles at Morph

- [Founding Account Executive](https://zerogtalent.com/ai-jobs/morph/head-of-growth-81462) — San Francisco, CA, US

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*Source: [Zero G Talent](https://zerogtalent.com), the job board for space, defense, AI, robotics and frontier-tech companies.*