Qubrid AI
Website:
qubrid.com
Job details:
Read everything carefully. The requirements and screening questions are critical and if not answered correctly and satisfactorily will result in auto-rejection and waste of your time.
- Work from Home.
- This is a full-time role. If you plan to do 2 or more jobs at the same time or want to do this part-time, that won't work for us. In that case please do not apply as it will get auto-rejected
- Note - this job requires working late night India time until 4AM to overlap with USA working times. Do not apply if this timing doesn't work
- Salary depends on experience and current verifiable (paychecks) compensation.
- Junior candidates with 2 years experience are suitable
Junior AI Networking Engineer (NVIDIA Networking)
About Qubrid AI
Qubrid AI is building the next generation AI infrastructure platform that enables enterprises to deploy AI anywhere—on-premises, private cloud, or public cloud. Our platform combines GPU infrastructure, AI inference, enterprise software, and managed services to help organizations build secure, scalable AI factories.
As we continue to expand our AI infrastructure offerings, we are looking for a motivated Junior AI Networking Engineer who is passionate about high-performance networking, Linux, and AI infrastructure.
Role Overview
You will work with our infrastructure engineering team to deploy, configure, and support high-speed AI networking environments powering NVIDIA GPU clusters. This role is ideal for someone with a strong networking and Linux foundation who wants to build expertise in AI data center networking.
You will gain hands-on experience with NVIDIA Ethernet and InfiniBand networking technologies while supporting enterprise AI deployments.
Responsibilities
- Configure and troubleshoot NVIDIA Ethernet and InfiniBand networks.
- Deploy and maintain NVIDIA Spectrum switches and ConnectX adapters.
- Assist with AI cluster networking and GPU server deployments.
- Configure VLANs, LACP, MLAG, routing, and network segmentation.
- Install and maintain SONiC and NVIDIA Cumulus Linux-based network operating systems.
- Monitor network performance, latency, bandwidth utilization, and packet loss.
- Troubleshoot network connectivity between GPU servers, storage, and AI workloads.
- Support firmware and software upgrades for switches and network adapters.
- Work closely with Linux, Kubernetes, GPU, and AI platform engineers.
- Create technical documentation and deployment guides.
- Participate in customer deployments and remote troubleshooting.
Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, Electronics, or a related field.
- 1–3 years of networking experience (or strong internship/project experience).
- Good understanding of:
- TCP/IP
- VLANs
- Routing
- Switching
- DNS
- DHCP
- Experience with Linux administration (Ubuntu or RHEL preferred).
- Familiarity with SSH, Bash scripting, and command-line tools.
- Basic understanding of network troubleshooting using tools such as:
- ping
- traceroute
- tcpdump
- iperf
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication.
Preferred Qualifications
Experience or exposure to any of the following is a plus:
- NVIDIA Spectrum Ethernet switches
- NVIDIA Quantum InfiniBand
- NVIDIA ConnectX adapters
- NVIDIA Cumulus Linux
- SONiC
- RDMA
- RoCE
- GPUDirect RDMA
- Kubernetes networking
- Docker
- AI infrastructure or GPU clusters
- VMware or Nutanix networking
- Python automation
- Ansible
- Prometheus and Grafana
What You'll Learn
At Qubrid AI, you'll receive hands-on experience building enterprise AI infrastructure, including:
- AI factory networking
- GPU cluster architecture
- High-performance Ethernet and InfiniBand
- Enterprise AI deployments
- Kubernetes for AI workloads
- Infrastructure automation
- Large-scale AI networking operations
Why Join Qubrid AI?
- Work on cutting-edge AI infrastructure.
- Learn directly from experienced AI and infrastructure engineers.
- Build expertise in NVIDIA networking and enterprise AI.
- Opportunity for rapid career growth as the company expands.
- Exposure to enterprise customers deploying next-generation AI platforms.
- If you're passionate about networking, Linux, and AI infrastructure, we'd love to hear from you.
Click on Apply to know more.
