Compensation
Salary undisclosedDescription
About Groq
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.
Ideal candidates have/are:
- 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.
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 range for this position, which is inclusive of the potential bonus value, is $270,400-$401,600, with individual placement determined by your geographic location, experience, skills, and alignment with internal compensation standards. This range is 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.
Stack
GPUPythonAWSGCPAzureCI/CDDistributed SystemsMachine LearningTime Series
- Posted
- Oct 7, 2026
- Last seen
- Oct 8, 2026
- First seen
- Oct 7, 2026
