Nuvepro - Task Intelligence for the Enterprise
OpenAI· Foundations· San Francisco

Software Engineer, Foundations Retrieval

Comp$380K – $555K

Classified Tasks (16)

Automate 0%Augment 56%Human-Only 44%

Augment (9)

AI assists, human decides

Build and scale retrieval infrastructure across indexing, serving, and query execution.

technical

Develop low-latency, high-throughput systems for real-time model interaction.

technical

Support dense, sparse, and hybrid retrieval pipelines.

technical

Own system performance, reliability, and observability at scale.

operational

Contribute to model-system interfaces for agentic workflows.

technical

Design and operate indexing systems, retrieval pipelines, and serving layers.

technical

Support retrieval across OpenAI products and research.

operational

Co-design model-system interfaces with the core search stack (serving, indexing, retrieval).

technical

Develop large-scale systems that transform and index vast corpora.

technical

Human-Only (7)

Requires human judgment

Partner with research teams to productionize embedding and retrieval techniques.

communication

Collaborate with Pretraining, Inference, and Product teams to integrate retrieval end-to-end.

communication

Work with researchers and engineers to develop infrastructure that enables models to retrieve and act on relevant information.

communication

Translate model intent into reliable, real-world actions.

analytical

Enable models to reason over global knowledge and act dependably.

analytical

Bring modeling breakthroughs into production in close partnership with researchers.

communication

Redefine how intelligent systems discover, retrieve, and synthesize information at planetary scale.

creative

Job description

Software Engineer, Foundations Retrieval | OpenAI Careers ## Software Engineer, Foundations Retrieval Foundations - San Francisco Apply now(opens in a new window) **About the Team** The Foundations Research team works on high-risk, high-reward ideas that could shape the next decade of AI. Our goal is to advance the science and data that enable our training and scaling efforts, with a particular focus on future frontier models. Pushing the boundaries of data, scaling laws, optimization techniques, model architectures, and efficiency improvements to propel our science. The Search team sits within Foundations, building agentic search by co-designing model–system interfaces with the core search stack (serving, indexing, retrieval) to translate model intent into reliable, real-world actions. Operating at the frontier of AI and information retrieval, the team develops large-scale systems that transform and index vast corpora, enabling models to reason over global knowledge and act dependably. In close partnership with researchers, we rapidly bring modeling breakthroughs into production and redefine how intelligent systems discover, retrieve, and synthesize information at planetary scale. **About the Role** We’re looking for a Software Engineer focused on building and scaling retrieval systems. You’ll work with a team of researchers and engineers to develop infrastructure that enables models to retrieve and act on the right information at the right time. This includes designing and operating indexing systems, retrieval pipelines, and serving layers. This work supports retrieval across OpenAI products and research, with direct impact on system performance, reliability, and scale. **Responsibilities** * Build and scale retrieval infrastructure across indexing, serving, and query execution. * Develop low-latency, high-throughput systems for real-time model interaction. * Partner with research to productionize embedding and retrieval techniques. * Support dense, sparse, and hybrid retrieval pipelines. * Own system performance, reliability, and observability at scale. * Collaborate across Pretraining, Inference, and Product teams to integrate retrieval end-to-end. * Contribute to model - system interfaces for agentic workflows. **You Might Thrive in This Role If You Have** * Experience building and scaling distributed systems. * Background in search, retrieval, or indexing systems. * Familiarity with embedding-based or ML-powered systems. * Experience with performance optimization and production reliability. * Ability to work across ML and systems boundaries. * First-principles thinking in ambiguous problem spaces. **About OpenAI** OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidate
Source: OpenAI careers · scraped 2026-05-22
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