3 часа назад
Technical Support Senior Staff Engineer (AI Networking)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Technical Support Senior Staff Engineer (AI Networking): Building and validating high-performance networking platforms for GPU AI clusters, with an accent on SONiC NOS development, switching ASIC tuning, and Ethernet/RoCEv2 or InfiniBand fabric performance. Focus on debugging distributed infrastructure, developing observability and automation tools, and solving complex platform, networking, and customer deployment issues at scale.
Location: US - Headquarters; on-site
Company
builds high-performance infrastructure for demanding artificial intelligence workloads across silicon, systems, and networking.
What you will do
- Own end-to-end network bring-up and performance for GPU AI clusters during customer proof-of-concepts.
- Design, develop, and maintain features and enhancements for the SONiC network operating system.
- Debug software, Linux systems, networking stacks, distributed infrastructure, and complex system issues.
- Develop tools for traffic monitoring, performance measurement, deployment efficiency, observability, telemetry, and automated testing.
- Support customer deployments, integration testing, proof-of-concepts, and field issue resolution.
- Collaborate with hardware, software, infrastructure, QA, test, product, and customer teams on root-cause analysis and robust solutions.
Requirements
- Bachelor’s or master’s degree in computer science, electrical engineering, or a related field.
- 10+ years of work experience, including hands-on SONiC or equivalent network operating system development experience.
- Strong programming skills in Python, Go, or a similar language.
- Solid knowledge of Linux, TCP/IP networking, routing, switching, VLANs, network troubleshooting, and Docker containers.
- Experience with PTF and SPyTest for network validation; knowledge of network ASICs and switch hardware architecture is mandatory.
- Strong problem-solving, written communication, verbal communication, and cross-functional collaboration skills.
Nice to have
- Data-center networking with switch ASIC tuning and platform bring-up.
- Deep knowledge of buffers, queueing, QoS, ECN, PFC, VOQ, and shared pools.
- Experience with optics and PHY technologies, EVPN/VXLAN, BlueField DPU offloads, GPUDirect RDMA, storage fabrics, and AI networking benchmarks.
- Experience with tools such as ethtool, devlink, mlnx_qos, perfquery, Prometheus, gNMI, REST, perftest, nccl-tests, and iPerf3.
- Python or Ansible automation and Git-based configuration workflows.
Culture & Benefits
- Work in a fast-paced startup environment focused on foundational AI infrastructure.
- Operate with strong ownership, technical rigor, and speed.
- Collaborate with experienced engineers across hardware, software, infrastructure, QA, test, and product teams.
- Work on technologies powering next-generation GPU clusters and AI data centers.
- Accessibility accommodations are available throughout the hiring process.
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