OpenAI Senior+ Software Engineer, Research Platform — building evaluation and synthetic-data systems for Consumer Devices research

Interview prep for OpenAI's Senior+ Software Engineer role on the Future of Computing Research team within Consumer Devices, building the tools, APIs, and services that power AI research, evaluation, and synthetic-data generation workflows. Grounded in the JD's actual bar: 7+ years of full-stack engineering, ownership of multi-service systems, and turning ambiguous research/design questions into reliable, reproducible platforms.

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What this interview tests

Building evaluation platforms: rubrics, graders, task suites, rollout configs
Full-stack ownership across web app, API, data model, backend services
Synthetic data generation for multimodal/conversational research
Reliability & observability for research infrastructure (health checks, reproducibility)
Translating ambiguous research questions into measurable systems
Cross-functional partnership with researchers, designers, and infra teams

Common question themes

Describe building an evaluation system (graders, rubrics, task suites) from an ambiguous starting point

Walk through a full-stack system you owned end-to-end across multiple services

Tell me about a synthetic data generation pipeline for multimodal or conversational research

How do you measure task quality, coverage, diversity, or semantic spread in an evaluation suite

Describe diagnosing a cross-cutting issue spanning app code, workers, model endpoints, and infra

How have you led a migration across research tools or dependent services

How do you make research artifacts reproducible, versioned, and auditable

How candidates describe it

Real Senior+ Software Engineer interview stories — retold from candidates' public write-ups, with sources.

Google · L3 Software EngineerOffer

Google L3 software engineer interview: phone screen, four coding rounds, and the Googleyness round

A candidate with two years of experience went from recruiter outreach to offer over about four months. The onsite was four 45-minute coding rounds — three of them featuring binary trees — and one round turned into a 25-minute chain of follow-ups about approximating an optimal solution at scale.

Interviewed June 2020 · Bangalore, IN

Google · L4 Software EngineerNo offer

Google L4 Software Engineer Interview: Eight Rounds, No Offer

An L4 Software Engineer candidate went through two phone screens, three onsite rounds, a culture conversation, and a team-matching call with a Google hiring manager, then watched the process stall for about a month and a half over a tightened experience requirement before an added extended round ended without an offer.

Interviewed February 2024 · Not specified

Google · L5 Software EngineerNo offer

Google L5 software engineer interview: phone screening, three onsite rounds, system design, and a late rejection

A candidate interviewing for an L5 role went through a phone screening, three onsite coding rounds, a mobile system design round, and a Googleyness and Leadership round. Two of the four technical rounds went poorly by the candidate's own assessment, and after roughly two months of silence the recruiter reported that the role had been closed.

Interviewed January 2023 · Not specified

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