Principal Network Engineer
Our mission at Tensorwave Cloud is to build seamless, secure, reliable, and resilient AI infrastructure at scale, eliminating barriers and challenging the status quo to empower builders and support AI innovation.
About The Role
We are seeking a Network Principal to own the front-end network architecture for large-scale AI and GPU-accelerated infrastructure. This role is responsible for the design, implementation, and evolution of customer-facing, service, and control-plane networks that interface with large GPU, storage, and RDMA back-end fabrics.
This role operates as a peer to the Back End Network Principal, with shared responsibility for end-to-end platform scalability, reliability, and performance.
Core Responsibilities
What We Bring
About The Role
We are seeking a Network Principal to own the front-end network architecture for large-scale AI and GPU-accelerated infrastructure. This role is responsible for the design, implementation, and evolution of customer-facing, service, and control-plane networks that interface with large GPU, storage, and RDMA back-end fabrics.
This role operates as a peer to the Back End Network Principal, with shared responsibility for end-to-end platform scalability, reliability, and performance.
Core Responsibilities
- Own front-end network architecture including DCI, edge, ingress/egress, and control-plane networks
- Design scalable Ethernet architectures
- Architect and operate large edge and service networks
- Define routing, segmentation, and isolation strategies
- Partner closely with the Back End Network Principal to define clean interface boundaries between front-end and RDMA back-end fabrics
- Lead hands-on deployment, validation, and troubleshooting in new and production data centers
- Define and maintain reference architectures, standards, and long-term growth models
- Own relationships with network carriers and service providers, including:
- IP coordination with Registrars
- Circuit design and capacity planning
- Carrier selection and solution evaluation
- Coordinating delivery timelines, turn-ups, and escalations
- Ensuring edge connectivity aligns with platform growth
- Work in collaboration with the Kubernetes platform team to design and deliver network solutions for Kubernetes-centric use cases, including:
- Ingress and service exposure architectures
- Hybrid and cloud integration
- VPC-to-VPC and multi-environment connectivity
- Network constructs required to support Kubernetes networking models at scale
- 10+ years data center networking experience
- Proven experience with very large Ethernet fabrics and large-scale edge networks
- Strong hands-on experience and expertice with BGP, traffic engineering, and high-availability designs
- Experience with 100G–400G+ Ethernet environments
- Demonstrated experience working directly with carriers and service providers to deliver production connectivity
- Multi-Vendor Experience (Juniper, Cisco, Arista, Whitebox)
- NOS Experience (Junos, IOS/IOS-XE, NX-OS, EOS, SONiC)
- Automation or scripting experience in Python, GO, Bash, or equivalent
- AI platform or GPU cluster environments
- Multi-tenant or customer-facing platforms
- Strong familiarity with Kubernetes networking concepts
- Exposure to network automation and programmability
- 100G+ environments
- AI, GPU, or HPC exposure
What We Bring
- Mission driven company
- Competitive Salary
- Stock Options
- 100% paid Medical, Dental, and Vision insurance
- Life and Voluntary Supplemental Insurance
- Short Term Disability Insurance
- Flexible Spending Account
- 401(k)
- Flexible PTO
- Paid Holidays
- Parental Leave
- Mental Health Benefits through Spring Health
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