Data Platform Engineer for Hardware & Consumer Devices

OpenAI, Inc.; San Francisco (CA); On-site; USD 295,000 - 445,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) retirement plan

Paid parental leave

Paid time off

Relocation assistance

Job summary

OpenAI is seeking a Data Engineer to design, build, and scale the data infrastructure powering its hardware and consumer devices. You will own durable data foundations that support development through manufacturing and deployment, partnering with hardware, software, operations, and Data Science teams to enable reliable measurement and decision-making.

The role emphasizes building scalable data foundations for multiple teams and use cases, with significant ownership over technical decisions and

Qualifications

• 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.

Responsibilities

• Build foundational data infrastructure to support hardware development, manufacturing, customer operations, and device performance.
• Connect manufacturing, device telemetry, quality assurance, and customer-facing systems.
• Develop reusable datasets and data architectures for cross-team use and measurement.
• Enable manufacturing and quality intelligence by linking production history with product performance and signals.

Job description

OpenAI is seeking a Data Engineer to design, build, and scale the data infrastructure powering its hardware and consumer devices. You will own durable data foundations that support development through manufacturing and deployment, partnering with hardware, software, operations, and Data Science teams to enable reliable measurement and decision-making.

The role emphasizes building scalable data foundations for multiple teams and use cases, with significant ownership over technical decisions and