This position may no longer be available
Posted . It may have been filled, expired, or closed.
This position may no longer be available
Posted . It may have been filled, expired, or closed.
Type
FULL TIME
Work Style
Remote
About the Team
Our Inference team brings OpenAI’s most capable research and technology to the world through our products. We empower consumers, enterprises and developers alike to use and access our state-of-the-art AI models, allowing them to do things that they’ve never been able to before. We focus on performant and efficient model inference, as well as accelerating research progression via model inference.
About the Role
We’re looking for a senior engineer to design and build the load balancer that will sit at the very front of our research inference stack - routing the world’s largest AI models with millisecond precision and bulletproof reliability. This system will serve research jobs where requests must stay “sticky” to the same model instance for hours or days and where even subtle errors can directly degrade model performance.
In this role, you will:
Architect and build the gateway / network load balancer that fronts all research jobs, ensuring long-lived connections remain consistent and performant.
Design traffic stickiness and routing strategies that optimize for both reliability and throughput.
Instrument and debug complex distributed systems — with a focus on building world-class observability and debuggability tools (distributed tracing, logging, metrics).
Collaborate closely with researchers and ML engineers to understand how infrastructure decisions impact model performance and training dynamics.
Own the end-to-end system lifecycle: from design and code to deploy, operate, and scale.
Work in an outcome-oriented environment where everyone contributes across layers of the stack, from infra plumbing to performance tuning.
You might thrive in this role if you:
Have deep experience designing and operating large-scale distributed systems, particularly load balancers, service gateways, or traffic routing layers.
Have 5+ years of experience designing in theory for and debugging in practice for the algorithmic and systems challenges of consistent hashing, sticky routing, and low-latency connection management.
Have 5+ years of experience as a software engineer and systems architect working on high-scale, high-reliability infrastructure.
Have a strong debugging mindset and enjoy spending time in tracing, logs, and metrics to untangle distributed failures.
Are comfortable writing and reviewing production code in Rust or similar systems languages (C/C++, Java, Go, Zig, etc).
Have operated in big tech or high-growth environments and are excited to apply that experience in a faster-moving setting.
Take ownership of problems end-to-end and are excited to build something foundational to how our models interact with the world.
Nice to have:
Experience with gateway or load balancing systems (e.g., Envoy, gRPC, custom LB implementations).
Familiarity with inference workloads (e.g., reinforcement learning, streaming inference, KV cache management, etc).
Exposure to debugging and operational excellence practices in large production environments.
About OpenAI
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.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Prepare for your Software Engineer, Networking - Inference interview at OpenAI.