Staff Network Engineer

About TensorWave

Our mission is simple: deliver seamless secure reliable and resilient AI compute at scale. Weve 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

Were seeking a Staff Network Engineer (L6/L7) focused on designing scaling and optimizing large-scale RoCEv2 data center networks powering next-generation AI and ML infrastructure.

Youll work closely with network architects and infrastructure leadership to execute network designs and ensure operational stability as we scale cluster sizes to over 100000 GPUs. You will drive multi-team technical direction influence cross-functional outcomes and own critical components of network performance and reliability. Youll remain hands-on with high-speed optics switching routing and congestion management in production clusters while developing the standards and automation tooling that other engineers build and operate against.

What Youll Do

• Set multi-team technical direction and influence cross-functional network architecture decisions to ensure seamless infrastructure scaling.

• Design deploy and optimize large-scale RoCEv2 data center networks supporting AI and ML clusters from thousands to 100000 GPUs.

• Implement and tune congestion management protocols across RDMA fabrics including PFC ECN and DCQCN based on real production telemetry.

• Build and standardize automation validation and observability patterns that prevent misconfiguration and reduce manual operational overhead.

• Serve as a senior technical escalation point for complex network failures and actively mentor mid-level engineers in advanced troubleshooting and design.

Who You Are

Required Qualifications

• Bachelors degree in Computer Science Electrical Engineering or a related technical field or equivalent practical experience.

• Extensive experience deploying and operating RDMA and RoCEv2 networks in large-scale production environments supporting AI or HPC workloads.

• Advanced knowledge of switching hardware and NOS such as Arista Juniper and custom solutions using SONiC including high-speed Ethernet fabrics.

• Proven hands-on experience with congestion management and performance tuning using PFC ECN and DCQCN.

• Strong experience with high-speed optics and cabling including 400G 800G AEC AOC DAC and structured cabling at scale.

• Strong automation mindset with experience using Python Ansible Terraform Git and production observability tooling.

• Demonstrated ability to autonomously solve complex novel problems and translate broad architectural goals into executable project plans.

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

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.

Required Experience:

Staff IC