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Network Forensics Jobs in California (NOW HIRING)

Cerebras

Network Engineer

Sunnyvale, CA · On-site

... forensics. • Lead cross-functional, multi-phase technical projects spanning hardware, firmware, host networking, and cluster software. • Collaborate with vendors and industry partners to shape ...

Osv_a10networks

Cybersecurity Lead

San Jose, CA · On-site

Endpoint and network forensics * Cloud security monitoring (AWS, Azure, GCP) * Scripting and automation (Python, PowerShell, Bash) * Security engineering in hybrid or production environments * Proven ...

SpaceX

Security Analyst (Blue Team)

Hawthorne, CA · On-site +1

$110K - $130K/yr

Experience with reverse engineering, C2 exploitation, and broader system/network forensics. * Knowledge of cloud infrastructure and cloud security. * Security community contributions (blog posts ...

SpaceX

Security Analyst (SOC)

Hawthorne, CA · On-site +1

$110K - $130K/yr

Experience with reverse engineering, C2 exploitation, and broader system/network forensics. * Knowledge of cloud infrastructure and cloud security. * Security community contributions (blog posts ...

SpaceX

Security Analyst (Threat Detection)

Hawthorne, CA · On-site +1

$110K - $130K/yr

Experience with reverse engineering, C2 exploitation, and broader system/network forensics. * Knowledge of cloud infrastructure and cloud security. * Security community contributions (blog posts ...

US Postal Service

Forensic Computer Analyst SR

Richmond, CA · On-site

$133K/yr

... with network intrusion and cybersecurity investigations to determine the cause and extent of a ... Employees in the Forensic Computer Analyst or Forensic Computer Analyst Sr position prior to June ...

The Consensus

Network Security Engineer

San Jose, CA · On-site

$180 - $240/hr

Bring deep, broad networking expertise - from low-level packet analysis and firewall log forensics to BGP configuration, multi-cloud networking, and CASB/SASE integration across a diverse SaaS ...

Etched

Network Security Engineer

San Jose, CA · On-site

$175K - $275K/yr

Bring deep, broad networking expertise - from low-level packet analysis and firewall log forensics to BGP configuration, multi-cloud networking, and CASB/SASE integration across a diverse SaaS ...

Etched

Network Security Engineer

San Jose, CA · On-site

$175K - $275K/yr

Bring deep, broad networking expertise - from low-level packet analysis and firewall log forensics to BGP configuration, multi-cloud networking, and CASB/SASE integration across a diverse SaaS ...

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All JobsNetwork Forensics JobsNetwork Forensics Jobs in California

Network Forensics information

See California salary details

$21.7K

$105.2K

$160.4K

How much do network forensics jobs pay per year?

As of Aug 9, 2026, the average yearly pay for network forensics in California is $105,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,400.00 and $126,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in network forensics?

To thrive in Network Forensics, you need strong analytical abilities, in-depth knowledge of networking protocols, cybersecurity concepts, and a degree in computer science or a related field. Familiarity with tools such as Wireshark, EnCase, FTK, and certifications like GCFA or CFCE is highly valuable. Attention to detail, critical thinking, and effective communication skills are essential soft qualities for this role. These skills enable professionals to accurately investigate network incidents, interpret digital evidence, and collaborate efficiently with technical and non-technical stakeholders.

What are the typical day-to-day responsibilities for someone working in network forensics?

Network Forensics professionals spend their days analyzing network traffic, identifying security breaches or anomalous activities, and reconstructing the timeline of events using specialized forensic tools. They often collaborate with IT security teams, law enforcement, or legal departments to gather, preserve, and report on digital evidence. Preparing detailed documentation and presenting findings clearly to both technical and non-technical audiences is also a vital part of the job. This role can involve responding to incidents in real time as well as conducting thorough post-incident investigations, making adaptability and a meticulous approach important for success.

What is network forensics?

A Network Forensics job involves analyzing network traffic to detect, investigate, and mitigate cybersecurity incidents. Professionals in this role collect and examine digital evidence to identify security breaches, malicious activities, or policy violations. They use specialized tools to track intrusions, reconstruct cyberattacks, and support legal proceedings if necessary. This role is crucial for maintaining network security, preventing data breaches, and ensuring compliance with cybersecurity regulations.

What are the most commonly searched types of Network Forensics jobs in California? The most popular types of Network Forensics jobs in California are:
What are popular job titles related to Network Forensics jobs in California? For Network Forensics jobs in California, the most frequently searched job titles are:
What job categories do people searching Network Forensics jobs in California look for? The top searched job categories for Network Forensics jobs in California are:
What cities in California are hiring for Network Forensics jobs? Cities in California with the most Network Forensics job openings:
Network Forensics jobs near you
Infographic showing various Network Forensics job openings in California as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 21% Part Time, 2% Temporary, and 6% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $105,174 per year, or $50.6 per hour.

Network Engineer

Cerebras

Sunnyvale, CA • On-site

Full-time

Re-posted 8 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.

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