Optical Network Engineer
OpenAIAbout the team:
OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform.
About the role:
We are seeking an experienced Optical Network Engineer to lead Laser related work within our optical interconnect efforts for large-scale compute systems. The role also requires broad, hands-on optical validation experience across IM/DD-based interconnects, working from lab characterization through production readiness and scaled deployment.
In this role you will:
Drive laser-focused requirements and technical direction within the broader optical interconnect roadmap.
Lead evaluation and validation of optical components and subsystems, including laser-based elements, in lab and production-representative environments.
Support end-to-end optical testing for IM/DD interconnects (e.g., module/system bring-up, characterization, debug, and readiness for scale).
Work with external partners to align on development milestones, performance targets, and quality expectations.
Own technical issue triage and resolution across performance, reliability, and manufacturability topics.
Collaborate across internal teams to support integration, rollout, and operational success at scale.
You might thrive in this role if you have:
Strong experience in laser-focused optical engineering (development, validation, manufacturing readiness, or field support).
Broad hands-on background with IM/DD optical technologies and optical test/debug workflows.
Experience working with external suppliers/manufacturing partners and production-oriented execution.
Demonstrated ability to debug complex technical issues using data-driven methods.
Clear written and verbal communication; ability to influence cross-functional stakeholders.
Advanced degree in a relevant engineering field preferred (or equivalent industry experience).
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