Senior Research Infrastructure Engineer — Remote-Friendly

HUD; San Francisco (CA); A distancia; USD 175.000 - 260.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, dental, vision coverage (US)

Lunch and dinners for in-office staff

Holiday break and PTO

401k with match

Equinox membership

Commuter benefits

Wellness stipend

Token access for AI tools

Travel budget to visit offices

Descripción de la vacante

HUD is seeking a Senior Research Infrastructure Engineer to accelerate research on training and evaluating frontier AI agents. You’ll build the software and infrastructure that enable HUD’s researchers to iterate on environments, collect trajectories, and evaluate model behavior.

You’ll work closely with research engineers to understand the questions they’re investigating, identify bottlenecks in experimentation, and turn research code into reliable, reusable systems.

Formación

• Strong software engineering fundamentals and proficiency in Python.
• Ownership of backend services, data pipelines, developer tools, or infrastructure from design through deployment and operation.
• Sound judgment about APIs, data models, asynchronous workloads, and the tradeoffs involved in building reliable systems.
• Comfort with Docker, Linux, cloud infrastructure, and debugging failures across application code and the systems it runs on.
• Ability to work closely with researchers, understand experimental workflows, and translate open-ended research needs into useful software.
• Independent technical judgment to set priorities and improve systems as workloads grow.

Responsabilidades

• Build infrastructure that supports research on agent behavior through reliable environment execution, trajectory collection, and evaluation at scale.
• Develop reusable tools, APIs, and pipelines that let researchers launch experiments, manage datasets and configurations, and inspect trajectories and evaluation results.
• Turn research prototypes into tested, documented software that researchers can reuse and extend.
• Design experiments to understand model behavior, agent failure modes, and data quality issues.
• Make experimentation faster, more reproducible, and more cost-efficient by improving orchestration, observability, and recovery from failed runs.
• Partner with research and engineering to translate evolving research needs into infrastructure priorities and architecture decisions.

Conocimientos

Python

Software engineering fundamentals

API design

Docker

Linux

Cloud infrastructure

Research collaboration

Herramientas

Docker

Linux

Cloud infrastructure

Descripción del empleo

HUD is seeking a Senior Research Infrastructure Engineer to accelerate research on training and evaluating frontier AI agents. You’ll build the software and infrastructure that enable HUD’s researchers to iterate on environments, collect trajectories, and evaluate model behavior.

You’ll work closely with research engineers to understand the questions they’re investigating, identify bottlenecks in experimentation, and turn research code into reliable, reusable systems.