Software Engineer, Data Quality & Production Tools

HUD

San Francisco (CA)

Hybrid

USD 130,000 - 225,000

Full time

6 days ago

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Benefits offered by this job

Competitive compensation

Premium medical/dental/vision coverage

Lunch and dinner when in office

Company-wide holiday break

Equinox membership

401k

Commuter benefits

Unlimited access to AI tokens

Job summary

HUD is seeking a Software Engineer, Data Quality to build tools that help HUD's Quality and Intelligence (QNI) team assess and improve training data and evals for frontier agents. You’ll translate workflows into internal products and integrate capabilities into HUD’s production platform.

You'll collaborate with the QNI and research engineers to design scalable data workflows, dashboards, APIs, and data models, delivering reliable, observable systems that make quality issues easy to find and fix.

Qualifications

Strong software engineering fundamentals across frontend, backend, and data systems.
Proficiency in Python and a modern web stack (TypeScript and React).
Experience building internal or user-facing products end-to-end.
Good judgment about APIs, data models, and production systems.

Responsibilities

Build full-stack tools for reviewing tasks, inspecting agent trajectories, checking graders, and investigating data quality issues.
Create dashboards and metrics that show quality trends, failure modes, and health of review and validation workflows.
Design backend services, APIs, and data workflows that connect quality checks with task creation, evaluation, and feedback to data creators.
Turn evolving review methods into scalable, efficient workflows that scale beyond manual analysis.
Move internal tools into production, improving reliability, usability, and observability.