OpenAI

Software Engineer, Core Network Engineering

OpenAI$130K — $180K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in large-scale networking or distributed systems infrastructure
  • Strong proficiency in Linux networking and kernel systems
  • Familiarity with high-performance networking technologies like InfiniBand and RoCE
  • Deep understanding of datacenter networking, WAN systems, or host networking stacks
  • Programming experience in C++, Python, or Go
  • Ability to diagnose and debug complex systems and performance issues
  • Strong grasp of networking, operating systems, and distributed systems fundamentals

Responsibilities

  • Design and operate networking systems for large-scale AI infrastructure
  • Enhance performance, reliability, and scalability of networking technologies
  • Develop automation for lifecycle management of the network infrastructure
  • Create observability systems for monitoring network health and performance
  • Optimize network performance across various technologies
  • Set networking protocols and criteria for operational readiness
  • Collaborate with teams to ensure networking scales effectively with growth
  • Contribute to topology design and capacity planning for network reliability

Benefits

  • Work at the forefront of AI technology
  • Collaborative environment with cross-functional teams
  • Opportunity to solve performance-critical challenges
  • Engagement with cutting-edge infrastructure technologies
  • Impact on AI research and real-world applications
Full Job Description
About the Role

We're looking for engineers to help build and operate the networking foundation behind OpenAI's frontier AI systems.

Depending on your background and area of focus, you may work across host networking, datacenter fabrics, or global WAN infrastructure. The problems span low-level systems software, distributed infrastructure, protocol readiness, observability, performance engineering, automation, and large-scale network operations.

You'll work on systems where microseconds of latency, tail performance, and network reliability directly impact model training efficiency and production serving performance.

This role is ideal for engineers who enjoy operating close to the hardware/software boundary and solving performance-critical infrastructure problems at massive scale.

In this role, you will:
  • Design, build, and operate networking systems that support large-scale AI training and inference infrastructure
  • Improve performance, reliability, and scalability across host networking, datacenter fabrics, and WAN systems
  • Develop automation for provisioning, configuration management, validation, upgrades, and lifecycle management of networking infrastructure
  • Build tooling and observability systems for network health, performance analysis, debugging, and automated remediation
  • Optimize network performance across technologies such as RDMA, RoCE, InfiniBand, Ethernet, and high-performance GPU interconnects
  • Define and operationalize networking protocols, readiness criteria, and continuous validation systems
  • Partner closely with compute, storage, hardware, and infrastructure teams to ensure networking scales predictably with fleet growth
  • Contribute to architecture decisions around topology design, capacity planning, failure domains, and network reliability
  • Diagnose complex distributed systems and networking issues across large heterogeneous compute environments
You might thrive in this role if you:
  • Have experience building or operating large-scale networking or distributed systems infrastructure
  • Are comfortable working close to the hardware/software boundary
  • Have experience with Linux networking, kernel systems, NICs, RDMA, or performance-sensitive infrastructure software
  • Have worked with high-performance networking technologies such as InfiniBand, RoCE, DPDK, or large-scale Ethernet fabrics
  • Have experience with datacenter networking, WAN systems, or host networking stacks
  • Enjoy debugging complex systems and performance bottlenecks across multiple layers of the stack
  • Are comfortable writing production software in languages such as C++, Python, or Go
  • Have strong systems fundamentals across networking, operating systems, distributed systems, or infrastructure engineering
  • Are motivated by building infrastructure that directly accelerates frontier AI research and deployment


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.

About OpenAI

OpenAI is an artificial intelligence research laboratory consisting of the for-profit corporation OpenAI LP and its parent company, the non-profit OpenAI Inc. The company was founded in 2015 by a group of technology leaders, including Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, and John Schulman. OpenAI's mission is to develop and promote friendly AI for the betterment of humanity. The company has developed a number of cutting-edge AI technologies, including GPT-3, a language processing system that can generate human-like text. OpenAI has received funding from a number of high-profile investors, including LinkedIn co-founder Reid Hoffman and venture capitalist Peter Thiel.
Learn more about OpenAI
Size
100 employees
Industry
Founded
2015

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