Software Engineer, Distributed Data Systems - Robotics

OpenAI•San Francisco, CA

3d•$230,000 - $385,000•Hybrid

About The Position

The OpenAI Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. As a Software Engineer, Distributed Data Systems, you will design, build, and operate some of the largest distributed data systems in the world. You will be responsible for the end-to-end stack to deliver and consume top-quality data for robotics training at exabyte-scale. You’ll manage distributed data pipelines, collaborate closely with researchers to translate requirements into robust systems, and harden pipelines that serve as the backbone for OpenAI’s rapid iteration cycles. We’re looking for engineers who are detail-oriented, have strong experience with distributed systems, and excel at building reliable, large-scale systems in high-stakes environments. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

Requirements

Strong experience with distributed systems and large-scale infrastructure with a strong interest in data.
Detail-oriented and bring rigor to building and maintaining reliable systems.
Excellent software engineering fundamentals and organizational skills.
Comfortable with ambiguity and rapid change.

Responsibilities

Design, build, and maintain data infrastructure such as exabyte-scale distributed data processing, data selection, automated labeling, and training data loaders.
Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient.
Partner with researchers to deeply understand requirements and translate them into production-ready systems.
Harden, optimize, and maintain critical data infrastructure systems that power multimodal training and evaluation.
Deliver the best possible data for training robotics models.