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TensorWaveTE

Senior Network Optical Engineer

TensorWave is a pioneering AI-focused cloud platform that leverages AMD's MI300X accelerators, enabling organizations to optimize AI workloads with enhanced performance and lower costs.

TensorWave

Employee count: 11-50

United States only

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TensorWave is seeking a Senior Network Optical Engineer to design, deploy, and operate optical and physical layer infrastructure for large-scale, high-performance network environments. The role requires strong networking fundamentals and deep knowledge of fiber optics, transceivers, and structured cabling systems.

Requirements

  • 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

Benefits

  • 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

About the job

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Job type

Full Time

Experience level

Location requirements

Hiring timezones

United States +/- 0 hours

About TensorWave

Learn more about TensorWave and their company culture.

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TensorWave is a cutting-edge cloud platform designed specifically for AI workloads, leveraging AMD's MI300X accelerators and a best-in-class inference engine. The platform offers innovative solutions for training, fine-tuning, and inference, providing users with faster, scalable, and user-friendly options compared to the competition. As the first launch partner utilizing AMD's MI300X GPUs, TensorWave is positioned to redefine AI compute capabilities, delivering immediate availability and performance enhancements.

TensorWave enables enterprises to harness the full power of artificial intelligence without the complexities often associated with model training and inference. It features both bare-metal nodes and fully-managed Kubernetes clusters, allowing users to choose the configuration that best suits their operational needs. The platform seamlessly integrates with popular machine learning frameworks like PyTorch and TensorFlow, requiring no code modifications from users. Security and cost-effectiveness are also prioritized, ensuring that sensitive data remains protected while providing a lower total cost of ownership without compromising on quality.

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TensorWave

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