Green Card Network Design Engineer Jobs
Network Design Engineer jobs with green card sponsorship require employers to complete PERM labor certification with the Department of Labor before filing an I-140 immigrant petition with USCIS. EB-2 applies to advanced-degree candidates and EB-3 covers professionals with a bachelor's degree, both leading to lawful permanent residency.
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Get Access To All JobsINTRODUCTION
Inference is the engine that powers AI, and Groq was built from the silicon up to deliver the world's fastest inference at scale. We pioneered the LPU—the first processor designed specifically for AI inference—and are transforming that innovation into a global cloud platform powering production AI workloads.
With the capital, infrastructure, and team to execute, we're uniquely positioned to define the next era of AI infrastructure. The opportunity is massive, and it's still wide open. Now let's go build it!
MISSION:
Groq is building high-performance AI infrastructure designed to make inference fast, predictable, and scalable. Our infrastructure teams design and operate the systems that connect compute, data, and services at significant scale. We are looking for a Sr./Staff Network Engineer, AI/HPC to help architect, design, validate, and evolve the network infrastructure supporting Groq's rapidly growing AI compute environments.
As a Sr./Staff Network Design Engineer, you will own network architecture and design across high-performance data center and AI infrastructure environments. You will translate capacity, performance, reliability, and business requirements into scalable network designs that can be deployed and operated consistently.
This role requires deep expertise in data center networking, routing protocols, network architecture, automation, and large-scale infrastructure. You will work closely with network operations, data center engineering, compute, platform, security, and infrastructure teams to take designs from concept through validation and production deployment. You will also help establish the engineering standards, design patterns, tooling, and technical direction that allow Groq's network infrastructure to scale.
In this role, success means building network architectures that allow Groq's infrastructure to grow without sacrificing performance, reliability, or operational simplicity. You will create repeatable designs rather than one-off solutions, automate wherever practical, identify scaling limits before they become production problems, and make the network an enabling layer for Groq's compute infrastructure.
You'll combine deep networking expertise with a systems engineering mindset—considering not only whether a network works, but how it behaves at scale, how it fails, how it is validated, and how efficiently it can be operated.
LOCATION:
This role will be based in one of our three hiring hubs: the Dallas, San Francisco, or New York City area. The person hired for this role must be based in one of these three areas. You’ll have the flexibility to work remotely while we establish our local Groq office, with the expectation that this role will transition to onsite once the office opens.
RESPONSIBILITIES & OPPORTUNITIES IN THIS ROLE:
- Own the end-to-end network design process, translating customer compute, workload, scale, and tenancy requirements into "production-ready” architectures for AI training and inference.
- Work closely with software teams building inference and training stacks to align network topology with stack architecture.
- Develop network architectures, high-level designs (HLDs), low-level designs (LLDs), review bill of materials (BOMs), and implementation standards leveraging industry and vendor reference architectures.
- Design spine-leaf/Clos fabrics across front-end, back-end, and storage networks, with a focus on performance, resiliency, scalability, and operational simplicity.
- Evaluate and implement technologies such as BGP, EVPN, VXLAN, ECMP, IPv4/IPv6, QoS.
- Develop strategies for data center interconnect, WAN connectivity, internet edge, cloud connectivity, and external peering.
- Perform network capacity planning and traffic engineering for high-bandwidth AI and distributed compute workloads.
- Partner with compute and infrastructure engineering teams to understand workload communication patterns and translate them into network requirements.
- Establish standards for network hardware platforms, topology, addressing, routing policy, configuration, and lifecycle management.
- Evaluate switches, optics, cabling architectures, network operating systems, and emerging networking technologies.
- Build lab environments, proofs of concept, and design-validation frameworks before introducing new architectures into production.
- Define failure scenarios and validate network behavior during link, device, control-plane, and site failures.
- Drive network automation and infrastructure-as-code practices using technologies such as Python, Ansible, Git, APIs, and CI/CD pipelines.
- Develop automated design validation, configuration generation, compliance, and testing capabilities.
- Establish network observability requirements, including telemetry, performance metrics, alerting, and capacity visibility.
- Lead technical reviews and provide guidance on complex network architecture and design decisions.
- Troubleshoot complex performance and reliability issues that span network, compute, hardware, and distributed systems.
- Partner with operations teams to ensure designs are supportable, observable, and safe to operate at scale.
- Mentor engineers and raise the technical bar for network architecture, automation, documentation, and engineering practices.
BASIC QUALIFICATIONS:
- 8+ years of experience in network engineering, architecture, or infrastructure engineering, with significant experience designing large-scale data center networks.
- Deep understanding of TCP/IP, BGP and modern data center routing architectures.
- Strong experience designing leaf-spine / Clos network fabrics.
- Experience with EVPN/VXLAN and modern network virtualization architectures.
- Strong understanding of ECMP, routing convergence, failure domains, traffic engineering, and network resiliency.
- Experience designing networks with high-bandwidth Ethernet platforms, including 100G, 400G, or higher-speed interfaces.
- Strong knowledge of optical networking fundamentals, transceivers, fiber infrastructure, and data center cabling.
- Experience with network platforms and operating systems from vendors such as Arista, Cisco, Juniper, NVIDIA, or equivalent.
- Experience with network automation and software development using Python and APIs.
- Familiarity with infrastructure-as-code, source control, automated testing, and CI/CD engineering practices.
- Experience with network telemetry and observability technologies such as streaming telemetry, SNMP, flow data, and time-series monitoring.
- Strong understanding of Linux networking and TCP/IP fundamentals.
- Demonstrated ability to develop architecture documents, design standards, implementation plans, and technical specifications.
- Ability to analyze complex systems and make sound architectural decisions involving performance, reliability, cost, and operational tradeoffs.
- Strong communication skills and the ability to influence technical decisions across engineering organizations.
- Experience designing networks for AI/ML clusters, HPC environments, distributed computing systems, or large GPU/accelerator deployments.
- Experience with very large-scale Ethernet fabrics and high-throughput east-west traffic patterns.
- Knowledge of RDMA, Priority Flow Control (PFC), ECN, congestion management, and lossless or near-lossless Ethernet design.
- Familiarity with backend technologies like InfiniBand/RoCE/ Spectrum-X experience strongly preferred.
- Experience designing networks supporting distributed training or large-scale AI inference.
- Familiarity with SONiC or other disaggregated/open networking platforms.
- Experience with multi-site data center architecture and data center interconnect.
- Experience working with cloud networking environments such as AWS, GCP, or Azure.
- Familiarity with network source-of-truth and automation platforms such as NetBox, Nautobot, or equivalent systems.
- Experience designing and operating infrastructure at hyperscale or in rapidly growing technology environments.
WHY JOIN US:
- Purposeful Hiring: You’re not here by accident, and neither is anyone else. Every teammate is handpicked with intention because who we build with matters.
- Builders Wanted: You’re not just riding the rocket ship, you’re building it. Your work directly shapes the trajectory of our company.
- Mission-Driven Work: We’re here to make a real impact. Our mission fuels everything we do.
- Tackling Hard Problems: If easy isn’t your thing, you’re in the right place. We solve some of the most complex and exciting challenges in our space.
- Excellence Is The Standard: High performance isn’t just encouraged, it’s the baseline. And it’s contagious.
COMPENSATION
Groq is committed to providing competitive compensation through our Total Cash philosophy, which incorporates potential bonus value directly into base pay. The total cash salary ranges for this position, which is inclusive of the potential bonus value, is dependent by level:
- Staff: $270,400 - $365,800
- Sr. Staff: $341,400 - $401,600
Individual placement within these ranges is determined by your geographic location, experience, skills, and alignment with internal compensation standards. These ranges are specific to candidates located in the United States. Compensation for international candidates will vary based on local market dynamics. Beyond cash compensation, Groq also offers a Long-Term Incentive (LTI) Program and a robust suite of employee benefits.
US JOB POSTING
This position may require access to technology and/or information subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). To comply with these requirements, candidates for this role must meet certain citizenship or residency criteria. Specifically, they must qualify as U.S. Persons for export control purposes (i.e., U.S. citizen, U.S. lawful permanent resident (Green Card holder), or a protected individual under 8 U.S.C. § 1324b(a)(3) such as a refugee or asylee), or otherwise be eligible for an applicable export license.
NON-US JOB POSTINGS
This position may require access to technology and/or information subject to U.S. export control laws and regulations, as well as applicable local laws and regulations, including the Export Administration Regulations (EAR). To comply with these requirements, candidates for this role must meet all relevant export control eligibility criteria.
Groq is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex (including gender identity, sexual orientation, and pregnancy), age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law.
Groq complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We do not tolerate discrimination or harassment based on any protected characteristic.
Groq is committed to working with and providing reasonable accommodations to qualified individuals with physical or mental disabilities. If you require a reasonable accommodation to complete an application or to participate in the hiring process, please contact us at talent@groq.com. This contact is for accommodation requests only, which will be considered on a case-by-case basis.
All offers of employment are contingent upon verification of the applicant’s identity and employment authorization in accordance with federal law.
Groq encourages people with criminal record histories to apply for employment, and values diverse experiences, including prior contact with the criminal legal system. To that end, Groq welcomes such applicants in accordance with the California Fair Chance Act, Los Angeles City Fair Chance Act Ordinance, Los Angeles County Fair Chance Act Ordinance, and San Francisco Fair Chance Act Ordinance. Philadelphia applicants can review information pertaining to Philadelphia’s Fair Criminal Record Screening Standards Ordinance here: https://www.phila.gov/documents/fair-chance-hiring-law-poster.
As part of our hiring process, Groq may use artificial intelligence (“AI”) tools or automated systems to assist with activities such as reviewing applications, evaluating qualifications, scheduling interviews, analyzing assessment responses, or supporting recruiting operations. These tools are designed to assist—not replace—human decision-making, and hiring decisions are subject to human review. We may process information you provide during the application process, including resumes, application materials, interview responses, assessments, and, where applicable, audio, video, or transcript data. If legally required, we will request consent before using technologies that analyze biometric or video interview data. Candidates may request reasonable accommodations, an alternative evaluation process, additional information regarding the use of AI in the hiring process, or review of certain automated decisions by contacting ta-operations@groq.com.
INTRODUCTION
Inference is the engine that powers AI, and Groq was built from the silicon up to deliver the world's fastest inference at scale. We pioneered the LPU—the first processor designed specifically for AI inference—and are transforming that innovation into a global cloud platform powering production AI workloads.
With the capital, infrastructure, and team to execute, we're uniquely positioned to define the next era of AI infrastructure. The opportunity is massive, and it's still wide open. Now let's go build it!
MISSION:
Groq is building high-performance AI infrastructure designed to make inference fast, predictable, and scalable. Our infrastructure teams design and operate the systems that connect compute, data, and services at significant scale. We are looking for a Sr./Staff Network Engineer, AI/HPC to help architect, design, validate, and evolve the network infrastructure supporting Groq's rapidly growing AI compute environments.
As a Sr./Staff Network Design Engineer, you will own network architecture and design across high-performance data center and AI infrastructure environments. You will translate capacity, performance, reliability, and business requirements into scalable network designs that can be deployed and operated consistently.
This role requires deep expertise in data center networking, routing protocols, network architecture, automation, and large-scale infrastructure. You will work closely with network operations, data center engineering, compute, platform, security, and infrastructure teams to take designs from concept through validation and production deployment. You will also help establish the engineering standards, design patterns, tooling, and technical direction that allow Groq's network infrastructure to scale.
In this role, success means building network architectures that allow Groq's infrastructure to grow without sacrificing performance, reliability, or operational simplicity. You will create repeatable designs rather than one-off solutions, automate wherever practical, identify scaling limits before they become production problems, and make the network an enabling layer for Groq's compute infrastructure.
You'll combine deep networking expertise with a systems engineering mindset—considering not only whether a network works, but how it behaves at scale, how it fails, how it is validated, and how efficiently it can be operated.
LOCATION:
This role will be based in one of our three hiring hubs: the Dallas, San Francisco, or New York City area. The person hired for this role must be based in one of these three areas. You’ll have the flexibility to work remotely while we establish our local Groq office, with the expectation that this role will transition to onsite once the office opens.
RESPONSIBILITIES & OPPORTUNITIES IN THIS ROLE:
- Own the end-to-end network design process, translating customer compute, workload, scale, and tenancy requirements into "production-ready” architectures for AI training and inference.
- Work closely with software teams building inference and training stacks to align network topology with stack architecture.
- Develop network architectures, high-level designs (HLDs), low-level designs (LLDs), review bill of materials (BOMs), and implementation standards leveraging industry and vendor reference architectures.
- Design spine-leaf/Clos fabrics across front-end, back-end, and storage networks, with a focus on performance, resiliency, scalability, and operational simplicity.
- Evaluate and implement technologies such as BGP, EVPN, VXLAN, ECMP, IPv4/IPv6, QoS.
- Develop strategies for data center interconnect, WAN connectivity, internet edge, cloud connectivity, and external peering.
- Perform network capacity planning and traffic engineering for high-bandwidth AI and distributed compute workloads.
- Partner with compute and infrastructure engineering teams to understand workload communication patterns and translate them into network requirements.
- Establish standards for network hardware platforms, topology, addressing, routing policy, configuration, and lifecycle management.
- Evaluate switches, optics, cabling architectures, network operating systems, and emerging networking technologies.
- Build lab environments, proofs of concept, and design-validation frameworks before introducing new architectures into production.
- Define failure scenarios and validate network behavior during link, device, control-plane, and site failures.
- Drive network automation and infrastructure-as-code practices using technologies such as Python, Ansible, Git, APIs, and CI/CD pipelines.
- Develop automated design validation, configuration generation, compliance, and testing capabilities.
- Establish network observability requirements, including telemetry, performance metrics, alerting, and capacity visibility.
- Lead technical reviews and provide guidance on complex network architecture and design decisions.
- Troubleshoot complex performance and reliability issues that span network, compute, hardware, and distributed systems.
- Partner with operations teams to ensure designs are supportable, observable, and safe to operate at scale.
- Mentor engineers and raise the technical bar for network architecture, automation, documentation, and engineering practices.
BASIC QUALIFICATIONS:
- 8+ years of experience in network engineering, architecture, or infrastructure engineering, with significant experience designing large-scale data center networks.
- Deep understanding of TCP/IP, BGP and modern data center routing architectures.
- Strong experience designing leaf-spine / Clos network fabrics.
- Experience with EVPN/VXLAN and modern network virtualization architectures.
- Strong understanding of ECMP, routing convergence, failure domains, traffic engineering, and network resiliency.
- Experience designing networks with high-bandwidth Ethernet platforms, including 100G, 400G, or higher-speed interfaces.
- Strong knowledge of optical networking fundamentals, transceivers, fiber infrastructure, and data center cabling.
- Experience with network platforms and operating systems from vendors such as Arista, Cisco, Juniper, NVIDIA, or equivalent.
- Experience with network automation and software development using Python and APIs.
- Familiarity with infrastructure-as-code, source control, automated testing, and CI/CD engineering practices.
- Experience with network telemetry and observability technologies such as streaming telemetry, SNMP, flow data, and time-series monitoring.
- Strong understanding of Linux networking and TCP/IP fundamentals.
- Demonstrated ability to develop architecture documents, design standards, implementation plans, and technical specifications.
- Ability to analyze complex systems and make sound architectural decisions involving performance, reliability, cost, and operational tradeoffs.
- Strong communication skills and the ability to influence technical decisions across engineering organizations.
- Experience designing networks for AI/ML clusters, HPC environments, distributed computing systems, or large GPU/accelerator deployments.
- Experience with very large-scale Ethernet fabrics and high-throughput east-west traffic patterns.
- Knowledge of RDMA, Priority Flow Control (PFC), ECN, congestion management, and lossless or near-lossless Ethernet design.
- Familiarity with backend technologies like InfiniBand/RoCE/ Spectrum-X experience strongly preferred.
- Experience designing networks supporting distributed training or large-scale AI inference.
- Familiarity with SONiC or other disaggregated/open networking platforms.
- Experience with multi-site data center architecture and data center interconnect.
- Experience working with cloud networking environments such as AWS, GCP, or Azure.
- Familiarity with network source-of-truth and automation platforms such as NetBox, Nautobot, or equivalent systems.
- Experience designing and operating infrastructure at hyperscale or in rapidly growing technology environments.
WHY JOIN US:
- Purposeful Hiring: You’re not here by accident, and neither is anyone else. Every teammate is handpicked with intention because who we build with matters.
- Builders Wanted: You’re not just riding the rocket ship, you’re building it. Your work directly shapes the trajectory of our company.
- Mission-Driven Work: We’re here to make a real impact. Our mission fuels everything we do.
- Tackling Hard Problems: If easy isn’t your thing, you’re in the right place. We solve some of the most complex and exciting challenges in our space.
- Excellence Is The Standard: High performance isn’t just encouraged, it’s the baseline. And it’s contagious.
COMPENSATION
Groq is committed to providing competitive compensation through our Total Cash philosophy, which incorporates potential bonus value directly into base pay. The total cash salary ranges for this position, which is inclusive of the potential bonus value, is dependent by level:
- Staff: $270,400 - $365,800
- Sr. Staff: $341,400 - $401,600
Individual placement within these ranges is determined by your geographic location, experience, skills, and alignment with internal compensation standards. These ranges are specific to candidates located in the United States. Compensation for international candidates will vary based on local market dynamics. Beyond cash compensation, Groq also offers a Long-Term Incentive (LTI) Program and a robust suite of employee benefits.
US JOB POSTING
This position may require access to technology and/or information subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). To comply with these requirements, candidates for this role must meet certain citizenship or residency criteria. Specifically, they must qualify as U.S. Persons for export control purposes (i.e., U.S. citizen, U.S. lawful permanent resident (Green Card holder), or a protected individual under 8 U.S.C. § 1324b(a)(3) such as a refugee or asylee), or otherwise be eligible for an applicable export license.
NON-US JOB POSTINGS
This position may require access to technology and/or information subject to U.S. export control laws and regulations, as well as applicable local laws and regulations, including the Export Administration Regulations (EAR). To comply with these requirements, candidates for this role must meet all relevant export control eligibility criteria.
Groq is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex (including gender identity, sexual orientation, and pregnancy), age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law.
Groq complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We do not tolerate discrimination or harassment based on any protected characteristic.
Groq is committed to working with and providing reasonable accommodations to qualified individuals with physical or mental disabilities. If you require a reasonable accommodation to complete an application or to participate in the hiring process, please contact us at talent@groq.com. This contact is for accommodation requests only, which will be considered on a case-by-case basis.
All offers of employment are contingent upon verification of the applicant’s identity and employment authorization in accordance with federal law.
Groq encourages people with criminal record histories to apply for employment, and values diverse experiences, including prior contact with the criminal legal system. To that end, Groq welcomes such applicants in accordance with the California Fair Chance Act, Los Angeles City Fair Chance Act Ordinance, Los Angeles County Fair Chance Act Ordinance, and San Francisco Fair Chance Act Ordinance. Philadelphia applicants can review information pertaining to Philadelphia’s Fair Criminal Record Screening Standards Ordinance here: https://www.phila.gov/documents/fair-chance-hiring-law-poster.
As part of our hiring process, Groq may use artificial intelligence (“AI”) tools or automated systems to assist with activities such as reviewing applications, evaluating qualifications, scheduling interviews, analyzing assessment responses, or supporting recruiting operations. These tools are designed to assist—not replace—human decision-making, and hiring decisions are subject to human review. We may process information you provide during the application process, including resumes, application materials, interview responses, assessments, and, where applicable, audio, video, or transcript data. If legally required, we will request consent before using technologies that analyze biometric or video interview data. Candidates may request reasonable accommodations, an alternative evaluation process, additional information regarding the use of AI in the hiring process, or review of certain automated decisions by contacting ta-operations@groq.com.
See all 374+ Green Card Network Design Engineer Jobs
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Network Design Engineer
Document your specialized network design credentials
Gather transcripts, certifications like CCIE or CCNP, and reference letters that map your expertise to O*NET's Network and Computer Systems Administrators occupational profile. PERM audits scrutinize whether your credentials genuinely match the posted job requirements.
Find employers with active PERM filing history
Use Migrate Mate to search for companies that have sponsored Network Design Engineer roles through employment-based green card sponsorship, so you're targeting employers already familiar with the PERM recruitment and prevailing-wage process.
Verify prevailing wage tier before accepting an offer
Run the posted role through OFLC Wage Search to confirm whether the employer's offered salary meets the Level I through Level IV prevailing wage. A wage below the DOL-determined threshold will stall the PERM certification before it starts.
Ask about EB-2 versus EB-3 routing early
If your highest degree is a bachelor's plus five years of progressive network engineering experience, you may qualify under EB-2. Confirm which category your sponsor intends to file under before the PERM job description is drafted, since the requirements get locked in.
Understand priority date backlogs before you sign
Nationals of high-demand countries face per-country annual limits under both EB-2 and EB-3, meaning years between I-140 approval and visa availability. Check the monthly USCIS Visa Bulletin to gauge your realistic wait before committing to a sponsoring employer.
Protect your priority date if you switch employers
Once your original I-140 is approved, your priority date can carry over to a new employer's I-140. Separately, AC21 job portability lets you change employers in the same or similar occupation once your I-485 has been pending 180 days or more.
Green Card Network Design Engineer: Frequently Asked Questions
Does a Network Design Engineer role typically qualify for EB-2 or EB-3 green card sponsorship?
Most Network Design Engineer positions qualify under EB-2 if the employer requires an advanced degree or a bachelor's degree plus five years of progressive experience in network architecture or design. EB-3 applies when the minimum requirement is a bachelor's degree. The employer's PERM job description determines which category applies, so the degree and experience requirements written into that posting matter significantly.
How is green card sponsorship different from H-1B sponsorship for this role?
Green card sponsorship leads to lawful permanent residency rather than temporary status. The process starts with PERM labor certification filed with the Department of Labor, which requires a prevailing wage determination and a formal recruitment test to show no qualified U.S. workers are available. After PERM certification, the employer files an I-140 with USCIS. Unlike the H-1B visa, there is no lottery, but per-country annual limits mean nationals of high-demand countries can face extended waits between I-140 approval and visa availability.
How do I find employers who sponsor the green card for Network Design Engineer jobs?
Migrate Mate lists employers with verified employment-based green card sponsorship history, searchable by role and location. This lets you focus your applications on companies that have already navigated the PERM and I-140 process for similar positions, rather than approaching employers who may be unfamiliar with the sponsorship requirements for this occupation.
What does the PERM recruitment process mean for my job search timeline?
PERM requires the employer to conduct a formal recruitment test, including job postings and advertisements, to demonstrate that no qualified U.S. workers applied for the role. This process must be completed before DOL certifies the application. From the point an employer agrees to sponsor you, PERM preparation and filing alone can take several months, before the I-140 and adjustment of status stages begin.
Can I change employers after my Network Design Engineer green card case is filed?
Once your I-485 has been pending 180 days or more, AC21 job portability lets you move to a new employer in the same or similar occupation without losing your place in the process. Separately, if your original I-140 was approved, your priority date can carry over to a new employer's I-140 petition, protecting the time you've already accumulated in the backlog queue.