# AI Infrastructure Engineer at Mercor

- Company: Mercor
- Status: Open
- Workplace: On-site
- Location: San Francisco
- Level: Mid-level
- Discipline: AI & ML
- Employment: Full-time
- Salary: $200K–400K
- Posted: 2026-10-27
- Skills: Engineering
- Apply: https://jobs.ashbyhq.com/mercor/799ecfcc-4258-4075-8b11-12fc64fb2868

## Description

ABOUT MERCOR



Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.

 

Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.



Summary of role:

All of Mercor’s AI work, from training and serving models to building agents, runs on GPUs. Your job is to make that compute fast, fault-tolerant and fully utilized.

You’ll own the accelerator platform end to end. That means the clusters and schedulers across AWS, GCP, neoclouds and on-prem, the training and LLM serving on top, and the observability and cost data that show where every GPU-hour goes.

This is a software engineering role, not an ops role. You’ll write production code every day, own systems from design through on-call, and build the platform that se

More Mercor roles: https://deviantjobs.com/companies/mercor