Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
Debugging
Distributed Systems @ 3
GPU
Go @ 3
InfiniBand @ 3
Linux @ 3
Networking @ 3
Observability
Performance Analysis
Python @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
The Core Network Engineering team owns the end-to-end networking stack that connects OpenAI’s compute infrastructure, spanning global WAN and edge connectivity, data-center networking, and high-performance host/xPU networking for large-scale training and inference workloads.
The team designs and operates systems that provide predictable, high-throughput, low-latency connectivity across AI infrastructure. The work covers low-level systems software, distributed infrastructure, protocol readiness, observability, performance engineering, automation, and large-scale network operations.
Responsibilities
- Design, build, and operate networking systems supporting large-scale AI training and inference infrastructure.
- Improve performance, reliability, and scalability across host networking, data-center fabrics, and WAN systems.
- Develop automation for provisioning, configuration management, validation, upgrades, and networking infrastructure lifecycle management.
- Build tooling and observability systems for network health, performance analysis, debugging, and automated remediation.
- Optimize network performance using technologies such as RDMA, RoCE, InfiniBand, Ethernet, and high-performance GPU interconnects.
- Define and operationalize networking protocols, readiness criteria, and continuous validation systems.
- Partner with compute, storage, hardware, and infrastructure teams to ensure networking scales predictably with fleet growth.
- Contribute to architecture decisions involving topology design, capacity planning, failure domains, and network reliability.
- Diagnose complex distributed systems and networking issues across large heterogeneous compute environments.
Requirements
- Experience building or operating large-scale networking or distributed systems infrastructure.
- Comfort working close to the hardware/software boundary.
- Experience with Linux networking, kernel systems, NICs, RDMA, or performance-sensitive infrastructure software.
- Experience with high-performance networking technologies such as InfiniBand, RoCE, DPDK, or large-scale Ethernet fabrics.
- Experience with data-center networking, WAN systems, or host networking stacks.
- Ability to debug complex systems and performance bottlenecks across multiple layers of the stack.
- Ability to write production software in languages such as C++, Python, or Go.
- Strong systems fundamentals across networking, operating systems, distributed systems, or infrastructure engineering.
- Motivation to build infrastructure that accelerates frontier AI research and deployment.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. The company is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities.
Benefits
- Base salary of $230,000–$342,000 per year, plus equity.
- Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses.
- 401(k) retirement plan with employer match.
- Paid parental, medical, and caregiver leave.
- Paid time off, company holidays, office closures, and paid sick or safe time as required by law.
- Mental health and wellness support.
- Employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Daily office meals and eligible meal delivery credits.
- Relocation support for eligible employees.
- Additional benefits may include charitable donation matching and wellness stipends.