hirly

TensorWave

Principal Network Engineer

Remote

See how you match this job — and similar ones. Free.

Upload your resume and hirly scores it against this role at TensorWave first, then against similar open jobs, and shows where you fit and why.

PDF or DOCX, up to 12MB. No sign-up to see your matches.

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

  • Keywords matched to this posting
  • Fit score before you apply
  • Cover letter included

Matched against 2.6M live jobs from 210,000+ employers in 200+ countries.

Tailor my resume for this job →

Apply from your AI assistant

Connect hirly to Claude or ChatGPT and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending.

Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.

hirly's read of this role

Seniority
Lead / management
Country
US
Work mode
Remote-friendly
First seen by hirly
7 Nov 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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’re seeking a Principal Network Engineer (L7) focused on owning and evolving large-scale, RoCEv2 data center networks powering next generation AI and ML infrastructure.
  • You’ll work closely with our network architect and infrastructure leadership to define how the network is designed, implemented, and operated at scale, keeping over 8,000 GPUs burring today and scaling to cluster sizes reaching over 100,000 GPUs. You will be responsible for the architectural decisions that determine performance, reliability, and operational sanity at scale.

You’ll remain hands-on with high-speed optics, switching, routing, and congestion management in production clusters, while also setting the standards, patterns, and tooling other engineers build and operate against.

What You’ll Do

As a Principal Engineer, you own end-to-end network architecture, make high-impact design decisions, and set technical direction across teams, with clear examples of systems you’ve defined and scaled

Define, evolve, and standardize large-scale RoCEv2 data center networks supporting AI and ML clusters from thousands to 100,000+ GPUs

Set and validate congestion management strategy across RDMA fabrics, including PFC, ECN, and DCQCN, based on real production behavior

Establish automation, validation, and observability patterns that prevent misconfiguration and eliminate manual operational work

Act as the technical escalation point for complex failures, scaling limits, and architectural tradeoffs in always-on, multi-tenant environments

Essential Skills & Qualifications

Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience

Deep experience designing and operating RDMA and RoCEv2 networks in large-scale production environments supporting AI or HPC workloads

Expert-level knowledge of switching hardware and their 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, and AEC, AOC, DAC, and structured cabling at scale

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

We’re looking for engineers who operate comfortably at scale, make hard calls with incomplete data, and take responsibility for systems that must work under sustained load. The solutions that work on a handful of devices will not work at Exascale.

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 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.

Original posting on TensorWave's site ↗

Listed on hirly, a job board. hirly is not the employer: TensorWave is hiring for this role.

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job