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OpenAI

Networking Operating System Firmware Engineer

Hybrid

Part remote, part office, you need to live within commuting distance of a named location.

Hybrid · San Francisco

Employer listed it 5 months ago · Added 4 days ago

Been open since 5 months ago. Long-running listings are sometimes left up after the role is filled.

Salary

$266,000–$445,000

Location

Hybrid · San Francisco

Timezone

Not stated

Contract

Full-time

Experience

Mid

Category

Software

Published by the employer

Remote flexibility

Hybrid

This role is only partly remote, the employer expects time in the office around San Francisco, Hybrid, so you need to live within commuting distance.

What the employer says

  • Source listing states candidate location: "San Francisco, Hybrid"
  • Listing mentions "Hybrid"

What Nomaders makes of it

  • Not suitable if you plan to move between countries

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

About the role

About the Team

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.

Role summary

We are seeking a Networking Operating System Firmware Engineer to help bootstrap and scale the switching layer of our AI supercomputers. In this role, you will build and maintain custom NOS images from scratch, using open source components from SONiC, SAI, FRR, and related networking stacks while working across the Linux kernel, switch ASIC SAI/SDKs, platform drivers, control-plane services, and orchestration layers.

This is a software engineering role that requires a deep understanding of networking, NOS internals, switch hardware, and production systems. You will design, implement, test, and debug production NOS software across platform drivers, routing and control-plane state, ASIC programming, observability, and fleet integration. The engineer in this role should be able to work through ambiguous, open-ended technical problems and drive feature development across software, hardware, and vendor boundaries.

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.

In this role, you will

Design, develop, and maintain custom NOS images for large-scale AI fabrics, using open source components from SONiC, FRR, and related networking stacks.

Integrate, build and configure Linux kernel components, device drivers, switch ASIC SDKs, and SAI layers.

Bring up new switch platforms, including thermal and fan control, power monitoring, transceiver management, watchdogs, OSFP CMIS, LEDs, CPLDs, and board-specific platform logic.

Extend and customize NOS services for routing, telemetry, control-plane state, and distributed automation.

Implement and debug route, neighbor, next-hop, and ECMP programming flows from control-plane intent through ASIC hardware state.

Build software mechanisms that distinguish control-plane acceptance, SAI/SDK acceptance, and explicit hardware programming acknowledgement.

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 validate platform requirements with vendors and ASIC partners.

Debug complex issues spanning kernel drivers, platform monitoring, NOS services, routing agents, orchestration services, hardware signals, ASIC state, 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 on networking protocols and technologies that improve performance and reliability at AI factory scale.

You might thrive in this role if you have

Proven experience working with SONiC or comparable NOS stacks such as FBOSS, Cumulus Linux, Arista EOS, Junos PFE-level integration, or equivalent platform software.

Strong software engineering fundamentals: clear interfaces, data models, state-machine design, error handling, testing, observability, performance debugging, and maintainable C/C++, Python, Go or Rust code.

Experience with Linux kernel internals, network device drivers, platform drivers, hwmon, I2C/SMBus, CPLDs, or board-level platform software.

Requirements

  • ·Collaborate on networking protocols and technologies that improve performance and reliability at AI factory scale.
  • ·You might thrive in this role if you have
  • ·Proven experience working with SONiC or comparable NOS stacks such as FBOSS, Cumulus Linux, Arista EOS, Junos PFE-level integration, or equivalent platform software.
  • ·Strong software engineering fundamentals: clear interfaces, data models, state-machine design, error handling, testing, observability, performance debugging, and maintainable C/C++, Python, Go or Rust code.
  • ·Experience with Linux kernel internals, network device drivers, platform drivers, hwmon, I2C/SMBus, CPLDs, or board-level platform software.

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

  1. 1Check the flexibility label above, hybrid, matches where you plan to live and work.
  2. 2Tailor your CV to the role at OpenAI, mentioning your remote working experience.
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 5d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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