← 返回岗位列表美国IT/互联网fulltime

高级系统软件工程师,软件定义网络

雇主

NVIDIA

地点

Santa Clara · 美国

待遇

$面议

工作模式

混合

截止日期

1月10日

福利
Equity,Benefitsbenefits, NVIDIA is widely considered to be one of the technology world’s most d

🤖 AI 简历匹配评估

检测你的简历与该岗位的匹配度,免费

免费评估

岗位摘要

Design, build, and operate scalable SDN solutions for NVIDIA's AI Clouds, spanning control/data plan

岗位职责

We are looking for a Senior System Software Engineer, Software Defined Networking to design, build, and operate highly performant and scalable SDN solutions for NVIDIA's AI Clouds hosting GPU-accelerated workloads — including hyperscale multi-node training, inference, cloud gaming, and cloud functions.
This role spans the full lifecycle of our SDN stack — from designing and developing new control and data plane software to ensuring operational excellence in production through reliability engineering, CI/CD, observability, and incident response.
What you'll be doing:
• Design and develop next-generation multi-tenant cloud SDN control and data plane software (OVS, OVN, OpenFlow) • Build Infrastructure-as-a-Service virtual network orchestration and services using gRPC and
REST to support tenant workload security and performance SLAs for BMaaS, VMaaS, and Kubernetes • Drive upstream contributions to OVN-Kubernetes and related open-source projects • Develop software for network observability — monitoring, telemetry, intelligent metering, and performance analysis • Operate and support
OVS-OVN based SDN solutions in large-scale
NVIDIA AI Cloudenvironments • Own end-to-end observability for the SDN stack — build and maintain monitoring, alerting, distributed tracing, and dashboarding to ensure real-time insight into network health, performance, and tenant SLAs • Design, enhance, and maintain
CI/CD pipelines (GitLab) across Linux host networking, OVS, OVN, and Kubernetes CNIs • Implement GitOps approaches or related experience for secure, seamless integration with cloud infrastructure • Drive reliability through incident management, resource monitoring, and performance tuning • Collaborate with SRE, DevOps, and network engineering teams on production readiness and operational tooling What we need to see:
•
BS/MS in Computer Science or related technical field, or equivalent experience • 8
years of proven experience in software development for large-scale distributed environments • Expert-level knowledge of OVN, OVS, OpenFlow, and modern network protocols • Strong programming skills in C and Go;
advanced scripting in Bash and Python • Deep knowledge of Kubernetes, practical experience deploying and supporting CNIs (OVN-Kubernetes) • Hands-on experience with Infrastructure-as-Code and deployment tools (Ansible, Terraform, ArgoCD, Flux) • Experience designing and operating complex, multi-stage
CI/CD pipelines • Hands-on experience developing secure, high-performance services using gRPC and
REST with TLS and strong authentication • Strong knowledge of datacenter routing, switching, and Linux host/VM networking Ways to stand out from the crowd:
• Contributions to open-source projects (especially OVS, OVN, OVN-Kubernetes, or other Kubernetes networking projects) • Experience with hardware acceleration (GPU, DPU or equivalent experience) for networking • Practical experience with major cloud providers (AWS, Azure, GCP) and hybrid/multi-cloud deployments • SRE/DevOps top-level expertise — on-call, incident management, operations focused on service reliability targets, production ownership • Experience with observability platforms and tools (Prometheus, Grafana, Jaeger, OpenTelemetry, ELK) With a competitive salary package and benefits,
NVIDIA is widely considered to be one of the technology world’s most desirable employers.
We have some of the most forward-thinking and hardworking people in the world working for us.
Are you a creative and autonomous Systems Software Engineer who loves challenges?
Do you have a genuine passion for advancing the state of Networking, SDN, and Cloud Networking across a variety of industries?
If so, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
The base salary range is 184,000 USD - 287,500 USD.
You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 8, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.
As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

申请条件

Education and Experience:
BS/MS in Computer Science or related technical field, or equivalent experience
8+ years of proven experience in software development for large-scale distributed environments
Technical Skills:
Expert-level knowledge of OVN, OVS, OpenFlow, and modern network protocols
Strong

雇主简介

NVIDIA is a technology company that designs GPUs and system-on-chip units for gaming, professional visualization, data centers, and automotive markets. The Physics Simulation Team focuses on physics simulation for robotics learning and evaluation.

对这个岗位感兴趣?

该岗位通过项目服务流程申请,顾问可为您介绍项目详情与申请条件

咨询不收取任何费用,项目顾问将与您联系

申请海外岗位,英文简历符合当地格式规范吗?

AI 自动评估你与该岗位的匹配度,3 分钟出结果

免费评估简历匹配度

数据来源:NVIDIA

岗位信息来源于公开渠道,版权归原作者所有