Network Design Engineer, AIHPC

About Groq

Inference is the engine that powers AI and Groq was built from the silicon up to deliver the worlds fastest inference at scale. We pioneered the LPUthe first processor designed specifically for AI inferenceand are transforming that innovation into a global cloud platform powering production AI workloads.

With the capital infrastructure and team to execute were uniquely positioned to define the next era of AI infrastructure. The opportunity is massive and its still wide open. Now lets 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 Groqs 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 Groqs network infrastructure to scale.

In this role success means building network architectures that allow Groqs 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 Groqs compute infrastructure.

Youll combine deep networking expertise with a systems engineering mindsetconsidering 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. Youll 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.

Why Join Us:

• Purposeful Hiring : Youre not here by accident and neither is anyone else. Every teammate is handpicked with intention because who we build with matters.
• Builders Wanted : Youre not just riding the rocket ship youre building it. Your work directly shapes the trajectory of our company.
• Mission-Driven Work : Were here to make a real impact. Our mission fuels everything we do.
• Tackling Hard Problems : If easy isnt your thing youre in the right place. We solve some of the most complex and exciting challenges in our space.
• Excellence Is The Standard : High performance isnt just encouraged its the baseline. And its 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: $270400 - $365800

- Sr. Staff: $341400 - $401600

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 . 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 applicants 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 Philadelphias Fair Criminal Record Screening Standards Ordinance here: 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 assistnot replacehuman 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

Required Experience:

Staff IC