Groq

Groq

Sr./Staff Network Design Engineer, AI/HPC

San Francisco, USA · Staff+

Sponsorship not specified$270k-$402kDetected 36 days ago
PythonGitAWSGCPAnsibleCI/CDLinuxMachine LearningSystems EngineeringTest AutomationTCP/IPCiscoBGP/OSPFNetwork MonitoringNetwork EngineeringCommunication

Stay score

odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level IV · 4×
Level I$137,0931 entry
Level II$165,1312 entries
Level III$193,1493 entries
Level IV$221,1874 entries

This range already reaches Level IV — the maximum four lottery entries.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

12 transfer filings in the last year, covering 12 workers. Median labor-condition decision: 382 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • 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.

Responsibilities

  • 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.
  • 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.

Requirements

  • This role requires deep expertise in data center networking, routing protocols, network architecture, automation, and large-scale infrastructure.
  • The person hired for this role must be based in one of these three areas.
  • 8+ years of experience in network engineering, architecture, or infrastructure engineering, with significant experience designing large-scale data center networks.
  • Experience with EVPN/VXLAN and modern network virtualization architectures.
  • Strong understanding of ECMP, routing convergence, failure domains, traffic engineering, and network resiliency.
  • 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.

Compensation

  • $270k-$402k

Benefits

  • Compensation Groq is committed to providing competitive compensation through our Total Cash philosophy, which incorporates potential bonus value directly into base pay.
  • Beyond cash compensation, Groq also offers a Long-Term Incentive (LTI) Program and a robust suite of employee benefits.

Company info

  • Our mission fuels everything we do.

This listing is sourced directly from Groq's careers page and normalized into a canonical job model.