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Senior Research Infrastructure Engineer

HUD· Engineering & Research
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San Francisco, Singapore, Remote (Asia), Remote (North America)$175k - $260kFull-timePosted today

About the role

Senior role focusing on building and operating the software and infrastructure that enable HUD researchers to iterate on environments, collect trajectories, and evaluate model behavior for frontier AI agents.

Responsibilities

  • 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 and experimental workflows 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, owning systems from implementation through ongoing operation

Qualifications

  • Strong software engineering fundamentals and proficiency in Python, with a record of building maintainable systems used by others
  • 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, make pragmatic architecture decisions, and improve systems as their users and workloads grow

Skills

Required:PythonBackend servicesAPIs and data modelsDockerLinuxCloud infrastructureExperimentation workflows

Benefits

  • Competitive compensation
  • 100% covered top-of-the-line medical, dental, and vision (US and Singapore employees)
  • Lunch and dinner for in-office employees
  • Company-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays
  • 401k with a 4% match
  • Other perks including an Equinox membership and commuter benefits (US employees) and a health/wellness stipend (Singapore employees)
  • Unlimited access to tokens for ChatGPT, Claude Code, Cursor, etc.
  • Two top-floor offices in San Francisco’s Union Square and Singapore’s Raffles Place
  • Annual travel budget to visit either office
Last updated Oct 25, 2026. Interested? Apply on the company site.

About HUD

The platform for building RL environments

The platform for building RL environments. Train specialized agents, evaluate models, and deliver frontier‑grade post‑training data to labs.

AI benchmarkingEnvironment SDKGRPO trainingHUD Vendor PlatformMCP environmentsRL environmentsTraining + Eval Platformagent training
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