Data Engineer, Hardware & Consumer Devices
About The Position
OpenAI is building a new generation of AI-powered consumer devices and is seeking a Data Engineer to establish the foundational data infrastructure for this new organization. This role involves designing, building, and scaling data infrastructure to support hardware development, manufacturing, launch, and ongoing operation of these devices. The position emphasizes building durable, reusable data foundations that enable multiple teams and use cases, offering significant ownership over technical decisions and close collaboration with cross-functional partners. This is an early-stage role with greenfield opportunities, ideal for engineers who want to shape technical foundations and establish scalable systems.
Requirements
- Exceptional Data Engineering fundamentals and a track record of designing, building, and operating complex data systems.
- Strong technical judgment around data architecture, distributed systems, data modeling, reliability, and scalability.
- Experience developing production-grade pipelines and infrastructure across heterogeneous data sources.
Nice To Haves
- 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.
- Prior hardware experience is not required. We value exceptional engineering ability, intellectual curiosity, and the capacity to learn new domains quickly.
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.
Benefits
- We are committed to providing reasonable accommodations to applicants with disabilities
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
