OpenAI에서 대규모 컴퓨팅 시스템을 위한 광 네트워크 엔지니어를 채용합니다. 레이저 기술 및 IM/DD 인터커넥트 분야의 전문성을 바탕으로 광학 부품의 검증과 생산 준비를 주도할 인재를 찾습니다. 하드웨어 성능 최적화와 공급망 관리에 경험이 있는 분들의 많은 지원 바랍니다.
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.
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.
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.
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).
To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations.
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.
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.
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