Remote Staff Network Engineer Jobs
Remote staff network engineer jobs are open across the U.S. in sectors like cloud infrastructure, cybersecurity, telecommunications, and enterprise software, where distributed teams rely on senior-level network expertise. Companies hiring remotely right now include Capital One, Lambda, and TensorWave. Scan the live roles below and apply to whichever ones fit.
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See related jobsAbout 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 Staff Network Engineer (L6/L7) focused on designing, scaling, and optimizing large-scale RoCEv2 data center networks powering next-generation AI and ML infrastructure.
You’ll work closely with network architects and infrastructure leadership to execute network designs and ensure operational stability as we scale cluster sizes to over 100,000 GPUs. You will drive multi-team technical direction, influence cross-functional outcomes, and own critical components of network performance and reliability. You’ll 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 You’ll 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 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 and actively mentor mid-level engineers in advanced troubleshooting and design.
Who You Are
Required Qualifications
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.
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 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.
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 Staff Network Engineer (L6/L7) focused on designing, scaling, and optimizing large-scale RoCEv2 data center networks powering next-generation AI and ML infrastructure.
You’ll work closely with network architects and infrastructure leadership to execute network designs and ensure operational stability as we scale cluster sizes to over 100,000 GPUs. You will drive multi-team technical direction, influence cross-functional outcomes, and own critical components of network performance and reliability. You’ll 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 You’ll 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 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 and actively mentor mid-level engineers in advanced troubleshooting and design.
Who You Are
Required Qualifications
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.
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 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.
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Find JobsRemote Staff Network Engineer Job Market
Who's Hiring
What Employers Look For
The qualifications that appear most often in remote staff network engineer jobs.
- 7 or more years of hands-on experience designing and operating enterprise networks
- Deep expertise in BGP, OSPF, MPLS, and large-scale routing architecture
- Current CCIE, JNCIE, or equivalent professional-level network certification
- Experience with network automation tools and scripting in Python or Ansible
- Proficiency with firewalls, load balancers, and network security policy enforcement
- Bachelor's degree in computer science, network engineering, or a related technical field
Tips for Your Remote Staff Network Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote staff network engineer openings from across the U.S. in one place, so you can find roles that match your skills and apply directly. Remote postings at the staff level fill fast, so checking frequently and applying the same day gives you a real edge.
Show async troubleshooting in your resume
Remote network engineering teams need engineers who can diagnose and resolve issues without real-time back-and-forth. Call out specific incidents where you identified root cause, documented the fix, and closed the loop in writing. That pattern signals exactly what remote hiring managers screen for.
Demonstrate remote network tooling fluency
Staff-level remote roles expect comfort with tools like Ansible, Terraform, Netmiko, and cloud-native monitoring platforms. Mention these by name in your application materials and be ready to walk through how you've used them in a distributed environment during your interview.
Prepare your home lab for interview conversations
Remote employers frequently ask about your personal lab setup or side projects as a proxy for curiosity and self-direction. Having a clear, concrete answer about what you're currently running or building, and why, distinguishes you from candidates who can only speak to their last employer's environment.
Remote Staff Network Engineer Jobs: Frequently Asked Questions
How do I get a remote staff network engineer job?
Remote employers look for staff network engineers who can troubleshoot complex issues asynchronously, document clearly, and move work forward without in-person oversight. Hands-on experience with routing protocols, SD-WAN, and cloud networking platforms like AWS or Azure carries significant weight. Strong written communication and a home lab or open-source contribution history both help demonstrate the self-direction remote teams expect at the staff level.
Which companies hire remote staff network engineers?
Employers currently hiring remote staff network engineers include Capital One, Lambda, and TensorWave, per current remote listings on Migrate Mate as of November 2026. Remote-first technology firms, cloud-native companies, and large enterprises running distributed infrastructure teams are the most consistent sources of fully remote staff network engineer openings.
Can you get a remote staff network engineer job with no experience?
Yes, but remote entry roles in network engineering are harder to land because employers expect you to debug and escalate independently from day one. Cloud-focused companies and managed service providers occasionally hire remote junior engineers. Certifications like CCNA or CompTIA Network+, a documented home lab, and GitHub projects showing real network automation work can substitute meaningfully for formal job history.
Do you need a degree for remote staff network engineer jobs?
Not always. Remote employers in networking weigh practical skills and certifications heavily, particularly CCNP, CCIE, or relevant cloud credentials from AWS and Google. A portfolio of real network designs, automation scripts, or infrastructure contributions often matters more than a diploma, especially at companies where output and async communication are how you're evaluated day to day.
See All 5 Remote Staff Network Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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