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Monday Friday Packet Core Network Engineer Jobs in California

... SRE-grade telemetry and observability for the cluster network: streaming telemetry (gNMI ... and packet-level forensics. • Lead cross-functional, multi-phase technical projects spanning ...

Network Engineer

Camp Pendleton, CA · On-site

$105K - $115K/yr

Auria is looking to hire a Network Engineer . This role is ONSITE at Camp Pendleton, CA. This is ... with a packet analyzer. • Cisco Certified Network Associate. • Experience with System ...

Network Engineer

San Diego, CA · Hybrid

$80K - $120K/yr

Network Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 25% of the time Minimum Clearance ... Working knowledge of core networking concepts and protocols. Clearance: * Must be a U.S. Citizen.

Senior Network Engineer

San Francisco, CA · On-site

$122K - $167K/yr

Ability to diagnose connectivity, latency, packet-loss, routing, and performance issues across the ... to the network engineering roadmap. * Partner with infrastructure, systems, security, and ...

Senior Network Engineer

San Francisco, CA · On-site

$122K - $167K/yr

Ability to diagnose connectivity, latency, packet-loss, routing, and performance issues across the ... to the network engineering roadmap. * Partner with infrastructure, systems, security, and ...

Network Engineer

San Diego, CA · On-site

$80K - $120K/yr

Working knowledge of core networking concepts and protocols. Clearance : * Must be a U.S. Citizen ... engineering, intelligence, and enterprise information technology markets. SAIC is Redefining ...

Showing results 41-60

Monday Friday Packet Core Network Engineer information

What is the difference between Monday Friday Packet Core Network Engineer vs LTE Network Engineer?

AspectMonday Friday Packet Core Network EngineerLTE Network Engineer
CertificationsCCNA, CCNP, Cisco certifications, Packet Core certificationsCCNA, LTE-specific certifications, Cisco certifications
Work EnvironmentTelecom providers, network operation centers, infrastructure sitesTelecom companies, network deployment sites, field environments
Industry UsagePrimarily in mobile core network management and optimizationFocus on LTE network deployment, optimization, and troubleshooting

The Monday Friday Packet Core Network Engineer and LTE Network Engineer roles share many certifications and work environments related to telecom networks. However, the Packet Core Engineer specializes in managing and optimizing core network elements, while the LTE Network Engineer focuses on LTE-specific network deployment and troubleshooting. Both roles are essential in mobile network operations but differ in their technical focus and daily responsibilities.

What are the most commonly searched types of Packet Core Network Engineer jobs in California? The most popular types of Packet Core Network Engineer jobs in California are:

Network Engineer

Cerebras

Sunnyvale, CA • On-site

Full-time

Re-posted 7 days ago


Job description

Job Summary:
Cerebras Systems builds the world's largest AI chip, transforming the user experience of AI applications. They are seeking a Network Architect to design and optimize network architectures for AI clusters, ensuring high-throughput connectivity and reliability.
Responsibilities:
• Design and architect front-end network fabrics for AI/ML and HPC clusters, optimizing for high resource utilization, low latency, and high-throughput communication.
• Build proof-of-concept implementations of new network designs and features, and drive them from prototype through production rollout.
• Identify and resolve performance and efficiency bottlenecks across the host-NIC-fabric
• Automate the deployment, configuration, and validation of network infrastructure using Python, including topology provisioning, fabric bring-up, config generation, and regression Strong programming skills are essential; this role builds tools, not just runbooks.
• Stand up and operate SRE-grade telemetry and observability for the cluster network: streaming telemetry (gNMI, OpenConfig, sFlow/IPFIX), metrics pipelines, alerting, and incident workflows. Define the SLIs/SLOs that govern network reliability and drive blameless post-incident analysis.
• Lead network debugging in large distributed-systems environments spanning multiple platforms and protocols, including deep dives into RoCEv2, PFC/DCQCN, ECMP hashing, congestion behavior, and packet-level forensics.
• Lead cross-functional, multi-phase technical projects spanning hardware, firmware, host networking, and cluster software.
• Collaborate with vendors and industry partners to shape network hardware and feature roadmaps.
• Represent the company in industry forums, standards bodies, and technical communities.
• Serve as the central point of contact for network reliability issues across the cluster.
Qualifications:
Required:
• Ph.D. in Computer Science or Electrical Engineering with 5+ years of industry experience, or Master's in CS/EE with 10+ years of industry experience.
• Solid experience in designing large-scale networks in datacenter and cloud environments.
• Extensive hands-on experience debugging networking issues in large distributed systems with multiple platforms and protocols.
• Demonstrated track record leading multi-phase, multi-team technical projects to completion.
• Deep expertise across networking platforms: Juniper, Arista, Cisco, and open-box / disaggregated NOS architectures (SONiC).
• Strong working knowledge of networking protocols and fabric technologies: VXLAN, EVPN, RoCEv2, BGP, DCQCN, PFC, ECN, and streaming telemetry.
• Proficiency in Python (and/or Go) for building network automation, validation, and tooling.
• Comfort with config generation frameworks (Ansible, Jinja2), gNMI, and CI/CD pipelines for network infrastructure.
• Hands-on experience with streaming telemetry pipelines, time-series databases (Prometheus, InfluxDB), visualization (Grafana), log aggregation, and modern incident-management.
• Ability to define SLIs/SLOs and instrument the network for proactive reliability.
• Familiarity with network visibility, management, and packet-capture/analysis tools.
Preferred:
• Prior experience at hyperscalers or cloud service providers.
• Experience with AI/ML or HPC cluster networking, including lossless Ethernet design, rail-optimized topologies, and collective-communication traffic patterns.
• Track record of contributions to open-source networking projects, standards bodies, or industry conferences.
Company:
Cerebras Systems is the world's fastest AI inference. We are powering the future of generative AI. Founded in 2015, the company is headquartered in Sunnyvale, USA, with a team of 501-1000 employees. The company is currently Late Stage.