Staff Network Engineer

TensorWave

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

Posted 10/30/2026full-timeRemote • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in designing, deploying, and optimizing large-scale RoCEv2 data center networks for AI and ML applications, with a strong focus on congestion management and automation. Proven ability to mentor engineers and influence cross-functional network architecture decisions to ensure operational stability.

Highest-signal resume keywords

RoCEv2 Network DeploymentCongestion Management ProtocolsAutomation Using Python, Ansible, TerraformHigh-Speed Optics and CablingNetwork Architecture Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

RDMA NetworksCongestion ManagementPerformance TuningSwitching HardwareHigh-Speed Ethernet FabricsAI WorkloadsHPC WorkloadsObservability ToolingNetwork Operating SystemsTelemetry Analysis

Soft Skills

MentoringProblem SolvingCollaboration

Tools & Technologies

PythonAnsibleTerraformGitSONiC

Industry Keywords

Data Center NetworksAI ClustersML ClustersOperational StabilityBackground Check Compliance

Tech Stack

Tools & technologies

AnsibleDACPythonSwitchingTerraform

About the role

Key responsibilities & impact

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 100,000+ 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
Mentor mid-level engineers in advanced troubleshooting and design
Work closely with network architects and infrastructure leadership to execute network designs and ensure operational stability

Requirements

What you’ll need

Bachelor’s 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
Employment eligibility requiring verification of identity and authorization to work in the United States
Employment may be contingent upon successful completion of a job-related background check where permitted by law

Benefits

Comp & perks

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