Principal Network Software and Solution Engineer - Switch Solutions (27648)

Super Micro Computer Spain, S.L.; San Jose (CA); On-site; USD 200,000 - 220,000; Full time

Benefits offered by this job

Bonus programs

Equity award programs

Job summary

Supermicro is seeking an experienced AI Network Software Solution Architect to lead the design and development of next‑generation network infrastructure solutions optimized for AI workloads. This role requires deep expertise in GPU fabric design, high‑speed switching, network automation, and observability on a large scale.

It will be based at our headquarters in San Jose, CA. You will architect and develop scalable network solutions in collaboration with external solution providers, VARs, and

Qualifications

• 15–20 years in network engineering or architecture roles, including large‑scale data center or AI infrastructure experiences.
• Bachelor’s degree in computer science, electrical engineering, or equivalent experience.
• Strong business acumen balancing performance, cost, and scalability in architecture decisions.
• Customer‑focused mindset with experience designing solutions for customers.
• Strong communication and leadership skills with stakeholders and executives.
• Hands‑on experience with open networking switching platforms and SONiC.
• Proven track record designing data center fabrics using BGP, OSPF, EVPN‑VXLAN, and overlay networks.
• Expertise with InfiniBand, RoCEv2, and RDMA‑based networking in GPU environments.
• Proficiency in network automation using Ansible, Terraform, Python, and Git‑based workflows.
• Ability to define business‑aligned network strategy roadmaps for scalable AI infrastructure.

Responsibilities

• Design and develop cutting‑edge network solutions with external providers.
• Design AI‑optimised network architecture to support GPU workloads.
• Fabric design using 100G/400G/800G infrastructure across platforms.
• Integrate control plane protocols for internal and external traffic.
• Define networking strategy aligned with growth and AI scalability.
• Develop infrastructure‑as‑code workflows to automate provisioning and monitoring.
• Implement telemetry pipelines and traffic analytics for visibility and SLA adherence.
• Create HLD/LLD design documentation, playbooks, and standards.
• Evaluate emerging technologies to influence roadmap decisions.
• Lead cross‑functional teams to deliver integrated AI/ML network solutions.

Skills

Leadership

Cross-functional collaboration

Communication

Education

Bachelor's degree in computer science or electrical engineering

Tools

Ansible

Terraform

Python

Git

Job description

Location: San Jose, California, United States

Job Summary

Supermicro is seeking an experienced AI Network Software Solution Architect to lead the design and development of next‑generation network infrastructure solutions optimized for AI workloads. This role requires deep expertise in GPU fabric design, high‑speed switching, network automation, and network observability on a large scale. You will architect and develop robust, scalable network solutions in collaboration with external solution providers, VARs, and internal teams. Define strategy roadmaps and ensure our networking infrastructure is ready for the most demanding AI platforms. This role will be based at our headquarters in San Jose, CA.

Essential Duties and Responsibilities

• Design and develop cutting‑edge network solutions in collaboration with external solution providers.
• Design AI‑optimised network architecture: low‑latency, high‑throughput AI network fabrics (scale‑out, scale‑up, converged) to support GPU traffic patterns for training and distributed inference.
• Fabric design and topology architecture: RAIL, Clos‑based multiplane leaf‑spine topologies using 100 G/400 G/800 G infrastructure across various networking platforms.
• Control plane and protocol integration: design multitenant BGP, EVPN, VXLAN, and routing for internal cluster traffic and external ingress/egress paths to the internet and cloud.
• Define and drive networking strategy aligned with business growth, automation goals, and AI infrastructure scalability.
• Network automation & orchestration: develop infrastructure‑as‑code workflows using Ansible, Terraform, and Python to automate provisioning, configuration, and monitoring.
• System performance and observability: implement telemetry pipelines and traffic analytics for proactive visibility, capacity planning, and SLA adherence.
• HLD/LLD documentation & standards: develop high‑level and low‑level network solution design documentation, playbooks, and operational standards to support scalable deployments and troubleshooting.
• Technology and market evaluation: evaluate emerging technologies from NVIDIA, AMD, hyperscalers, and connectivity providers to influence roadmap decisions.
• Cross‑functional collaboration and leadership: work closely with platform, hardware, facilities, and security teams to deliver integrated network solutions and infrastructure for AI/ML workloads.

Qualifications

• 15–20 years in network engineering or architecture roles, including large‑scale data center or AI infrastructure environments.
• Bachelor’s degree in computer science, electrical engineering, or equivalent experience.
• Strong business acumen, balancing performance, cost, and scalability in architecture decisions.
• Customer‑focused mindset and experience working closely with customers to design solutions and resolve complex technical challenges.
• Strong communication and leadership skills, including managing relationships, negotiating, and working with high‑level executives.
• Hands‑on experience with open networking switching platforms and SONiC.
• Proven track record designing data center fabrics using BGP, OSPF, EVPN‑VXLAN, and overlay networks.
• Expertise with InfiniBand, RoCEv2, and RDMA‑based networking in GPU environments.
• Proficiency in network automation using Ansible, Terraform, Python, and Git‑based workflows.
• Ability to define business‑aligned network strategy roadmaps for scalable AI infrastructure.
• Experience leading HLD/LLD design efforts and technical documentation.
• Strong understanding of telemetry, observability, and proactive network health management.

Salary Range

$200,000 – $220,000 per year. The salary offered will depend on location, level, education, training, specific skills, years of experience, and comparison to other employees in this role. In addition to a comprehensive benefits package, candidates may be eligible for bonus and equity award programs.

EEO Statement

Supermicro is an Equal Opportunity Employer and embraces diversity in its employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.