TensorWave · Remote
Senior Network Engineer responsible for day-to-day operation, maintenance, and on-call support of large-scale data center Ethernet fabrics for AI and GPU workloads. Covers multi-vendor NOS experience (Junos, IOS-XE, NX-OS, EOS, SONiC) and troubleshooting of latency and packet loss. Builds automation with Python/Go, Ansible, and Git-backed workflows.
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 Senior Network Engineer - Operations who is responsible for the day-to-day operation, maintenance, automation, and on-call support of large-scale data center networks supporting AI and GPU workloads. Scripting and tooling skills are a differentiator to reduce toil and speed incident resolution.
What You’ll Do
Who You Are
Required Qualifications
Preferred Qualifications
What We Offer
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 [email protected].
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.