Senior Network Optical Engineer

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 are seeking a Senior Network Optical Engineer to join our infrastructure team. This role focuses on designing, deploying, and operating optical and physical layer infrastructure for large-scale, high-performance network environments. You will work closely with network engineering, data center, and hardware teams to ensure reliable, scalable, and efficient connectivity across the physical network. This position requires strong networking fundamentals along with deep knowledge of fiber optics, transceivers, and structured cabling systems. What You’ll Do Design and implement optical network infrastructure for large-scale environments Define and maintain standards for fiber plant, cabling systems, and interconnects Select and validate optical transceivers, cabling types, and connectivity solutions Troubleshoot physical layer issues including signal loss, link instability, and hardware faults Work with network engineering teams to ensure proper integration between optical and packet layers Develop documentation and standards for structured cabling and optical deployment practices Validate link budgets, power levels, and optical performance across deployments Support data center builds, expansions, and migrations with a focus on physical layer reliability Who You Are Required Qualifications Strong 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 specifications Familiarity with optical testing and validation tools (OTDR, power meters, light sources) Knowledge of structured cabling design and best practices in data center environments Ability to diagnose and resolve physical layer issues in complex environments Experience working with vendors and validating hardware interoperability Familiarity with Linux-based systems and basic scripting for automation Preferred Qualifications Experience with high-speed optical systems (400G/800G and beyond) Familiarity with DWDM, CWDM, or other optical multiplexing technologies Experience in GPU or high-performance compute environments Exposure 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 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 [email protected]. Employment Eligibility All offers of employment are contingent upon verification of identity and authorization to work in 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.