Principal Network Engineer

Job description

About TensorWave Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure. About the Role We’re looking for a Principal Network Engineer to join our team during an exciting phase of growth. In this role, you’ll be responsible for owning the front-end network architecture for large-scale AI and GPU-accelerated infrastructure, working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact. What You’ll Do - Own front-end network architecture - DCI, edge, ingress/egress, and control-plane networks - Architect and operate large edge and service networks - Design scalable Ethernet architectures - Define routing, segmentation, and isolation strategies - Lead hands-on deployment, validation, and troubleshooting in new data centers - Define and maintain reference architectures, standards, and long-term growth models - Own relationships with network carriers and service providers - Work in collaboration with the platform team to design and deliver network solutions for Kubernetes-centric use cases - Partner closely with the Back End Network Principal to define clean interface boundaries between front-end and RDMA back-end fabrics Who You Are Required Qualifications - Bachelor of Science in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience - 10+ years data center networking experience - Proven experience with very large Ethernet fabrics and large-scale edge networks - Strong hands-on experience with BGP, traffic engineering, and high-availability designs - Experience with 100G–400G+ Ethernet environments - Familiarity with optical standards and transceiver types (e.g., 100G/400G/800G, SR/LR/ER, DWDM) - Demonstrated experience working with carriers providers to deliver production connectivity - Multi-Vendor Experience - Juniper, Cisco, Arista, Whitebox - NOS Experience - Junos, IOS/IOS-XE, NX-OS, EOS, SONiC Preferred Qualifications - 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 Offer - Stock Options - 100% paid Medical, Dental, and Vision insurance for Employees - Company Health Savings Account Contributions - 100% paid Short Term and Long Term Disability Insurance for Employees - Life and Voluntary Supplemental Insurance Options - Other Insurance Options, such as Pet & Legal Insurance - Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support - Flexible Spending Account - 401(k) - Employee Assistance Program - Flexible PTO - Paid Holidays - Parental Leave - Other In-Office Perks Equal Employment Opportunity TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law. Reasonable Accommodations TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com. Employment Eligibility All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law. Background Checks Where permitted by law, employment may be contingent upon the successful completion of a job-related background check. Data Privacy Notice By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.