Networking Operating System Firmware Engineer
OpenAI · Hybrid
MeritLog read this listing from OpenAI's Ashby job board and last checked it on September 8, 2026.
Source: the employer's Ashby job board. Open the original listing for current details.
Job details
- Work model
- Hybrid
- Salary
- $266K - $445K
- Location
- San Francisco
Hiring context
How this role compares at OpenAI
OpenAI has 781 live roles in MeritLog’s catalog across 14 job families, and 297 of them are in engineering. 650 of those listings publish a pay range, a disclosure rate of 83%.
This role's posted range of $266K - $445K sits above 68% of the 637 other OpenAI roles quoted over the same currency and period.
OpenAI concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
What the role asks for
What you'd do
- 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.
What they're asking for
- Proven experience working with SONiC or comparable NOS stacks such as FBOSS, Cumulus Linux, Arista EOS, Junos PFE-level integration, or equivalent platform software.Skill
- 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.Skill
- Experience with Linux kernel internals, network device drivers, platform drivers, hwmon, I2C/SMBus, CPLDs, or board-level platform software.Skill
- Experience integrating or debugging Broadcom, Marvell, NVIDIA, Intel, or comparable switch ASIC SDKs and SAI implementations.Skill
- Understanding of L2/L3 forwarding, ECMP, RoCE, BGP, QoS, PFC, buffer tuning, and telemetry.Skill
- Experience with platform bring-up and board-level debugging across thermal, fan, power, transceiver, LED, watchdog, CPLD, or OSFP CMIS flows.Skill
- Experience with OpenConfig gNMI interfaces, YANG data models, or structured telemetry is helpful.Skill
- Familiarity with CI/CD pipelines, distributed config and state management, reproducible builds, and large-scale automation.Skill
- Ability to independently drive ambiguous NOS or platform feature development from problem definition through implementation, validation, rollout, and debugging across software, hardware, and vendor boundaries.Skill
- Familiarity with Rust or Go is a plus.SkillPreferred
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
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. - Experience integrating or debugging Broadcom, Marvell, NVIDIA, Intel, or comparable switch ASIC SDKs and SAI implementations. - Understanding of L2/L3 forwarding, ECMP, RoCE, BGP, QoS, PFC, buffer tuning, and telemetry. - Experience with platform bring-up and board-level debugging across thermal, fan, power, transceiver, LED, watchdog, CPLD, or OSFP CMIS flows. - Experience with OpenConfig gNMI interfaces, YANG data models, or structured telemetry is helpful. - Familiarity with CI/CD pipelines, distributed config and state management, reproducible builds, and large-scale automation. - Ability to independently drive ambiguous NOS or platform feature development from problem definition through implementation, validation, rollout, and debugging across software, hardware, and vendor boundaries. - Familiarity with Rust or Go is a plus. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. 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 https://cdn.openai.com/policies/eeo-policy-statement.pdf. 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 https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. 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 https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf 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.