At a glance
- Employment
- Full-time
- Location
- San Francisco
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 https://cdn.openai.com/policies/eeo-policy-statement.pdf.
- 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 candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
- To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance.
- We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241.
About the role
- As a Data Engineer, you'll design, build, and scale the data infrastructure that powers OpenAI's hardware and consumer devices organization.
- You'll tackle technically challenging problems involving complex data sources, evolving operational requirements, and systems that need to scale from early development through manufacturing and consumer deployment.
- This position emphasizes building durable, reusable data foundations that enable multiple teams and use cases rather than supporting individual analytics projects.
Responsibilities
- Build foundational data infrastructure: Design and implement reliable, scalable data pipelines, platforms, and datasets that support hardware development, manufacturing, customer operations, and device performance.
- Connect complex data ecosystems: Integrate information across manufacturing systems, factory operations, device telemetry, quality assurance, and customer-facing operational systems.
- Establish durable data models: Develop reusable datasets and data architectures that enable consistent measurement, investigation, and decision-making across multiple teams.
- Enable manufacturing and quality intelligence: Connect manufacturing conditions and production history with downstream product performance, reliability, returns, and failure signals.
- Prepare for scale: Design systems that evolve from early-stage development and initial production to increasingly complex operations and large-scale consumer deployment.
- Partner across disciplines: Work with hardware and software engineers, manufacturing teams, operations leaders, and Data Scientists to translate emerging requirements into robust technical solutions.
- Shape our technical direction: Help establish engineering standards, architectural principles, data quality practices, and infrastructure decisions that will influence the organization for years to come.
Requirements
- Have exceptional Data Engineering fundamentals and a track record of designing, building, and operating complex data systems.
- Bring strong technical judgment around data architecture, distributed systems, data modeling, reliability, and scalability.
- Have experience developing production-grade pipelines and infrastructure across heterogeneous data sources.
Preferred qualifications
- Experience with hardware, consumer electronics, connected devices, or IoT.
- Experience building data infrastructure for manufacturing, factory operations, or supply-chain systems.
- Familiarity with device telemetry, reliability engineering, product quality, or failure analysis.
- Experience supporting customer operations, technical support, or Trust & Safety.
- A track record of building data platforms or foundational infrastructure in a startup or rapidly scaling organization.
