About TensorWaveOur 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 RoleWe’re looking for a Senior Network Optical Engineer to join our team during an exciting phase of growth. In this role, you’ll be responsible for designing, deploying, and operating optical and physical layer infrastructure for large-scale, high-performance network environments, working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact.What You’ll DoDesign and implement optical network infrastructure for large-scale environmentsDefine and maintain standards for fiber plant, cabling systems, and interconnectsSelect and validate optical transceivers, cabling types, and connectivity solutionsTroubleshoot physical layer issues including signal loss, link instability, and hardwarefaultsWork with network engineering teams to ensure proper integration between optical andpacket layersDevelop documentation and standards for structured cabling and optical deploymentpracticesValidate link budgets, power levels, and optical performance across deploymentsSupport data center builds, expansions, and migrations with a focus on physical layerreliabilityWho You AreRequired QualificationsStrong background in networking (L2/L3, routing, switching, data center fabrics)Deep understanding of fiber optics and transmission standards (single-mode, multi-mode, MPO/MTP, etc.)Experience with optical transceivers (QSFP, OSFP, CFP, etc.) and associated specificationsFamiliarity with optical testing and validation tools (OTDR, power meters, light sources)Knowledge of structured cabling design and best practices in data center environmentsAbility to diagnose and resolve physical layer issues in complex environmentsExperience working with vendors and validating hardware interoperabilityFamiliarity with Linux-based systems and basic scripting for automationPreferred QualificationsExperience with high-speed optical systems (400G/800G and beyond)Familiarity with DWDM, CWDM, or other optical multiplexing technologiesExperience in GPU or high-performance compute environmentsExposure to large-scale data center builds and structured cabling standards (TIA/EIA, etc.)Understanding of how optical constraints impact network design (latency, loss, power budgets)What We OfferStock Options100% paid Medical, Dental, and Vision insurance for EmployeesCompany Health Savings Account Contributions100% paid Short Term and Long Term Disability Insurance for EmployeesLife and Voluntary Supplemental Insurance OptionsOther Insurance Options, such as Pet & Legal InsuranceVarious Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness SupportFlexible Spending Account401(k)Employee Assistance ProgramFlexible PTOPaid HolidaysParental LeaveOther In-Office PerksEqual Employment OpportunityTensorWave 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 AccommodationsTensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.Employment EligibilityAll offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.Background ChecksWhere permitted by law, employment may be contingent upon the successful completion of a job-related background check.Data Privacy NoticeBy 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.
