Network Threat Detection R&D Engineer

Broadcom

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Palo Alto, CA
Salary
$143,800–$230,000 / yr
Posted
2 days ago
Freshness
Confirmed live yesterday
Closes
Feb 11, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $173k
This role $187k
$115k most similar roles pay here $242k

This role pays more than 65% of similar roles. Most pay $142,575–$202,625 — the shaded band above. At the midpoint, this role pays about $187k versus about $173k for comparable roles.

Based on 240 similar postings.

Employer

About Broadcom

Broadcom is a global semiconductor and infrastructure software company that designs and markets a wide range of networking, storage, and wireless connectivity solutions. Industry: Semiconductors & Infrastructure Software

Broadcom currently has 119 open roles on FindRole.

Listed pay typically runs $121,900–$195,000 across 105 roles with salary data.

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View all roles at Broadcom

At a glance

TL;DR · Network Threat Detection R&D Engineer

Network Threat Detection R&D Engineer The Network Detection and Research Team is seeking an ICB5 Staff Engineer to develop network security and intrusion detection capabilities for the vDefend Advanced Threat Prevention solution. You will conduct deep-dive research into emerging agentic and human threats while architecting and building AI-enabled security solutions to protect virtual workloads in large-scale data center environments. Your daily responsibilities include analyzing malicious traffic to prototype high-performance IDPS signatures, constructing scalable data collection infrastructures with automated feedback loops, and translating threat intelligence into actionable detection logic. The role requires expertise in Python programming, Docker, and k8s environments, alongside a strong proficiency in AI tools and agentic AI systems. This position focuses on the technical challenge of detecting and preventing advanced threats through a data-driven approach that leverages machine learning to secure complex networking infrastructures.

What you'll do

  • Conduct deep-dive research into emerging human and agentic network threats to stay ahead of adversaries.
  • Architect and build AI-enabled security solutions to protect virtual workloads in large-scale data centers.
  • Analyze malicious traffic to design, prototype, and implement high-performance IDPS signatures.
  • Construct and maintain scalable data collection infrastructures with automated feedback loops and enrichment.
  • Translate threat intelligence into actionable, high-fidelity detection logic and signatures.
  • Develop novel detection capabilities using a data-driven approach incorporating AI and machine learning.

What we're looking for

  • Bachelor's degree in Computer Science or related field with 12+ years of experience, Master’s with 10+ years, or PhD with 7+ years.
  • Strong experience and interest in network security.
  • Understanding of IDPS concepts and experience developing IDS signatures.
  • Experience with the Python programming language.
  • Familiarity with Docker and k8s environments.
  • Willingness and familiarity in working with AI tools and agentic AI systems.
  • Strong problem-solving skills and ability to troubleshoot complex issues.
  • Legal authorization to work in the U.S.

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