Networking Operating System Firmware Engineer

OpenAI•San Francisco, CA

10h•Hybrid

About The Position

About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role We’re seeking a Networking Operating System Firmware Engineer to help bootstrap and scale the switching layer of our AI supercomputers. In this role, you’ll build and maintain custom SONiC NOS images from scratch, working across the Linux kernel, switch ASIC SAI/SDKs, platform drivers, control-plane services, and orchestration layers. You will validate, configure, and optimize switch platforms used across our high-bandwidth cluster fabric, ensuring performance, reliability, availability, and seamless integration with fleet automation. You’ll collaborate with hardware and systems teams and guide vendors to meet stringent technical expectations. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

Requirements

Proven experience working with SONiC or comparable NOS stacks (FBOSS, Cumulus Linux, Arista EOS, Junos PFE-level integration, etc.).
Experience with updating OpenConfig gNMI interfaces and YANG data models.
Strong background in Linux kernel, network device drivers, and low-level OS internals.
Experience integrating Broadcom / Marvell / NVIDIA / Intel ASIC SDKs and SAI implementations.
Proficiency in C, C++ and Python; familiarity with Rust/Go is a plus.
Deep understanding of L2/L3 forwarding, ECMP, RoCE, BGP, QoS, PFC, buffer tuning, and telemetry.
Hands-on experience with hardware platform bring-up and board-level debugging.
Familiarity with CI/CD pipelines, distributed config/state management, and large-scale automation.
Strong cross-functional problem solving in high-performance, distributed environments.
Ability to lead teams to deliver a project end to end.

Responsibilities

Design, develop, and maintain custom SONiC NOS images for large-scale bleeding-edge AI fabrics.
Integrate and configure Linux kernel components, device drivers, switch ASIC SDKs, and SAI layers.
Bring up new switch platforms (thermal/fan control, power monitoring, transceiver management, watchdogs, OSFP CMIS, LEDs, CPLDs, etc.).
Extend and customize SONiC services for routing, telemetry, control-plane state, and distributed automation.
Work with hardware teams to validate ASIC configurations, link bring-up, SerDes tuning, buffer profiles, and performance baselines.
Evaluate switch silicon SDK releases, track vendor deliverables, and define platform requirements with vendors and ASIC partners.
Debug complex issues spanning kernel, platform drivers, SONiC dockers, routing agents, orchestration services, hardware signals, and network topology.
Integrate switches into fleet-wide monitoring, remote diagnostics, telemetry pipelines, and automated lifecycle workflows.
Develop robust CI/build pipelines for reproducible NOS builds and controlled rollout across the fleet.
Support factory bring-up and qualification all the way through mass deployment.
Collaborate, architect, implement, and deploy novel networking protocols and technologies to achieve maximum performance and reliability at AI factory scale.