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 accomodations@tensorwave.com.
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.
tensorwave