20 часов назад
Senior Staff DevOps Engineer (AI Networking)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Staff DevOps Engineer (AI Networking) (CI/CD, Linux, C/C++, Python): Building reliable CI/CD and release infrastructure for high-performance Ethernet switch SDKs, SAI adapters, simulations, and AI/HPC networking software with an accent on multi-repository pipelines, native build systems, and quality gates. Focus on scaling build and test farms, reducing flaky tests, managing artifacts and caches, and securing delivery workflows for AI data-center deployments.
Location: US - Headquarters; on-site
Company
builds high-performance infrastructure and networking software for demanding artificial intelligence workloads.
What you will do
- Own CI/CD for AI/HPC Ethernet switching software, including builds, tests, quality gates, artifacts, and release promotion.
- Scale pipelines across switch SDK, SAI adapters, test frameworks, simulations, and model targets.
- Improve build caching, shared runners, nightlies, release workflows, and multi-repository delivery.
- Operate Linux build and test farms for C/C++ SDKs and Python harnesses, including toolchains, containers, lab hosts, and simulation hosts.
- Manage artifacts, caches, observability, alerts, runbooks, secrets, and access controls.
- Partner with SDK, SAI, QA, and software teams to validate switch behavior and maintain traceable Jira workflows.
Requirements
- Strong CI/CD experience with GitHub Actions, Jenkins, or GitLab CI in multi-repository environments.
- Deep Linux expertise, including shells, packaging, toolchains, native build debugging, and shared-library or SDK load paths.
- Automation experience with Python and Bash, plus enough CMake or Make to support switch-SDK CI.
- Experience with Docker and self-hosted or cloud runners at meaningful scale.
- Proven ability to reduce flaky tests and improve CI signal-to-noise.
- Hands-on Jira experience and clear communication with hardware-adjacent software teams.
Nice to have
- Experience with networking ASICs, switch SDKs, SAI, DPDK, NIC or SmartNIC software.
- Exposure to AI/ML cluster networking, GPU fabrics, RoCE/RDMA, congestion control, or telemetry.
- Experience with simulation or hardware-in-the-loop CI, pytest at scale, build caching, release branching, or static-analysis gates.
- Knowledge of Terraform, Ansible, AWS, GCP, Atlassian tools, SBOMs, signing, and branch protection.
Culture & Benefits
- Work on infrastructure that directly supports AI networking product software.
- High-ownership environment where engineering changes have immediate impact.
- Small, high-performing team focused on technical rigor, speed, and first-principles engineering.
- Inclusive equal-opportunity workplace with accessibility accommodations available during hiring.
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