Manufacturing Quality Engineer for Datacenter Infrastructure at OpenAI | San Francisco

OpenAISan Francisco

On-site Full-time

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Experience Level

Experience

Qualifications

QualificationsThe ideal candidate will possess a Bachelor's Degree in Engineering or a related field, demonstrating strong analytical skills and a keen eye for detail. Experience in quality assurance within a manufacturing setting, particularly in datacenter infrastructure, is highly desirable. Proficiency in conducting audits and performance evaluations, as well as familiarity with quality metrics and process improvement methodologies, is essential. Excellent communication and collaboration skills are necessary to effectively engage with vendors and internal teams.

About the job

About Our Team

At OpenAI, we are at the forefront of innovation, collaborating with our capital and technology partners to develop a cutting-edge global network of data centers tailored to meet the rigorous demands of AI workloads. The Infrastructure Quality team plays a pivotal role in ensuring that all systems are manufactured, delivered, and commissioned to meet the highest benchmarks of quality, reliability, and performance.

Our team works collaboratively with manufacturing partners, general contractors, engineering teams, and operations staff to guarantee that every component is primed for installation, startup, and sustainable service. Our responsibilities encompass vendor qualification through to commissioning, ensuring operational readiness across our expansive global portfolio.

Role Overview

We are on the lookout for a skilled Manufacturing Quality Engineer (MQE) who will be instrumental in establishing, implementing, and managing a quality program focused on manufacturing for datacenter infrastructure. Your role will involve vendor oversight, quality assurance, process optimization, and addressing issues across all critical systems.

You will conduct vendor audits, monitor performance metrics, and coordinate corrective actions aimed at minimizing risks, enhancing predictability, and ensuring dependable delivery schedules. By fostering partnerships with vendors, construction teams, and internal stakeholders, you will contribute to the timely and high-standard delivery of OpenAI’s data centers.

Main Responsibilities

Conduct comprehensive vendor audits, evaluations, and performance reviews throughout the production, inspection, testing, and delivery phases.
Develop and monitor quality metrics that assess manufacturing performance and identify emerging trends.
Collaborate closely with vendors to refine processes, enhance training programs, and improve quality controls prior to shipment.
Establish and maintain a datacenter-focused manufacturing quality program that supports rapid global deployment timelines.
Incorporate quality requirements into sourcing, design, and construction workflows.
Lead and guide vendor and contractor quality teams, ensuring compliance with OpenAI standards.
Collaborate with engineering, sourcing, construction, and operations teams to align quality processes with project goals.
Mentor vendor teams and provide structured feedback to drive ongoing improvement.
Lead corrective and preventive action plans, including root cause analysis for recurring issues.

About OpenAI

OpenAI is a pioneering organization dedicated to advancing artificial intelligence in a safe and beneficial manner. We are proud to partner with leading capital and technology firms to create state-of-the-art data centers that empower AI innovations. Our commitment to quality, performance, and reliability drives us to build a robust infrastructure that supports the future of AI technology.

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Mar 19, 2026

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Mar 14, 2026

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Manufacturing Quality Engineer for Datacenter Infrastructure at OpenAI | San Francisco

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Full-time|On-site|San Francisco

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May 1, 2026

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Apr 14, 2026

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OpenAI

Full-time|On-site|San Francisco

OpenAI’s creative team shapes how artificial intelligence is seen and understood. Working alongside the latest advancements in AI, the group turns complex concepts into stories that resonate with people. Their projects range from large-scale campaigns and product launches to films, always placing human experience at the center. Team members who enjoy building narratives from scratch and exchanging new ideas thrive here. Role overview The Creative Copywriter will join OpenAI’s in-house creative team in San Francisco. This position plays a key role in defining and evolving the company’s voice at a pivotal moment. The copywriter works closely with design, product, and communications partners to craft copy for campaigns, launches, and cultural milestones. This job combines strategic thinking with strong writing skills. The copywriter helps make advanced technology feel accessible and relevant through clear, engaging language. Success in this role means understanding how words shape experience and making technical subjects understandable for a wide audience. Collaboration is central to the team’s process. OpenAI values curiosity, open dialogue, and kindness. The team encourages sharing and refining ideas together, balancing craft with decisiveness. This role is based in San Francisco, and relocation assistance is available for those moving to the area. What you will do Lead storytelling for brand campaigns, product launches, and integrated creative projects. Own narrative direction for major initiatives and creative workstreams. Translate OpenAI’s products and features into approachable, emotionally resonant stories. Develop concepts for campaigns, launch messaging, frameworks, and story arcs that align with brand strategy. Create content for launch events, product pages, social media, CRM, web, onboarding, and lifecycle communications. Establish scalable voice systems to maintain consistency across all channels.

Apr 27, 2026

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Software Engineer for Ads Monetization at OpenAI | San Francisco

OpenAI

Full-time|On-site|San Francisco

About the TeamJoin the Applied team at OpenAI, where we are dedicated to responsibly deploying groundbreaking technology. Our products, including ChatGPT, Sora, and the OpenAI API, are transforming industries by offering advanced capabilities such as GPT-5 and a robust suite of multimodal features spanning text, image, audio, and video. We manage extensive platform infrastructure and large-scale inference systems that cater to our global user base. As we continue to innovate, our influence in the tech world expands.Our clients are leveraging our APIs to fuel rapid business growth, unlocking previously unimaginable product functionalities. With offerings like ChatGPT and Sora, we showcase the potential of our technology across diverse media experiences. As we enhance these capabilities, we remain committed to ethical practices, prioritizing responsible deployment over unregulated expansion.As a member of the Applied Engineering team, the Ads Monetization group within Financial Engineering focuses on developing core systems that manage the financial aspects of ChatGPT Ads. These systems are designed for low-latency, high scale, and exceptional reliability, all while ensuring accuracy, auditability, and transparency in financial operations. This role integrates ad delivery, data engineering, and financial systems.Key Responsibilities:Design and implement the foundational monetization systems for ChatGPT Ads.Create and manage the core services and pipelines that facilitate ads monetization from event capture and validation to pricing, metering, and generating billable outputs.Establish and maintain the definitive source of truth for ads monetization data, including schemas, data models, and invariants to ensure consistency, transparency, and auditability.Oversee accuracy and reconciliation: align production outputs with invoicing and finance requirements, develop controls and monitoring systems, and address discrepancies through investigative efforts.Engage in full-stack development to create comprehensive billing solutions for our ChatGPT and API clients.Collaborate effectively with various stakeholders, including Ads Engineering, Data Science, Product, Finance, and Go-To-Market teams, as well as fellow engineers.Ideal Candidate Qualifications:At least 5 years of professional software engineering experience.Proficiency in designing scalable software systems with a focus on reliability and accuracy.Strong collaborative skills to work effectively in a cross-functional team environment.Experience with financial systems and data engineering principles is a plus.

Mar 2, 2026

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