Lockheed Martin-posted 3 days ago
Part-time • Mid Level
Onsite • Hanover, MD
5,001-10,000 employees

The Work: We are seeking a Part Time (approx. 50%) Cyber Network Intrusion Packet / Protocol Engineer to drive the next generation of high‑throughput, AI‑enhanced packet‑level analysis for our nation‑critical SIGINT and cyber‑defense missions. End‑to‑end lifecycle analysis – design, develop, and maintain custom Wireshark dissectors, scripts, and protocol‑specific analytic pipelines that process massive PCAP streams. Modernization at scale – leverage containerization (Docker/Kubernetes), cloud‑native data‑flows (Kafka, Spark), and AI/ML models to detect protocol‑level threats faster than ever. Mission impact – safeguard critical‑infrastructure controls, energy flow, and other high‑value networks that move the nation’s digital lifelines every minute. For a complete list that changes weekly, use this term to search via the Lockheed Martin jobs website: #RMSRB2025 What You Will be Doing: Do you perform as an expert in packet analysis? Do you know the different algorithms used in different networks and manufacturer equipment? Good. Custom Dissector Development – write C‑based Wireshark plugins and scripts to expose hidden protocol fields. Automated Analysis Pipelines – create Docker/Kubernetes‑orchestrated workflows that ingest PCAP streams, extract features, and feed ML classifiers. Data‑Flow Management – design high‑throughput pipelines using Apache Kafka or Spark for real‑time analytics. AI/ML Integration – apply supervised/unsupervised learning (deep packet inspection, clustering) to spot zero‑day patterns. Scripting & Automation – develop Python, Bash, PowerShell tools for rapid prototyping, CI/CD, and reporting. What We’re Doing: Lockheed Martin Cyber & Intelligence invites you to confront one of today’s most formidable challenges: protecting the nation’s digital lifelines from sophisticated intrusion attempts. As a Network Intrusion Detection Engineer, you will: Safeguard the networks that move financial assets, healthcare data, critical infrastructure controls, and energy flow every minute. Work side‑by‑side with world‑class cyber‑security professionals on the front lines of threat hunting, packet analysis, and proactive defense. Apply the full depth of Lockheed Martin’s resources—advanced labs, AI research, and global threat intel—to keep adversaries at bay. Cyber | Lockheed Martin Who We Are: Are you passionate about turning raw packet captures into actionable threat intelligence? Do you thrive on building automated detection frameworks that evolve with the threat landscape? Join a team that is pioneering the modernization of network intrusion detection—from handcrafted Wireshark filters to AI‑driven, cloud‑scaled analytics. Our culture rewards curiosity, relentless improvement, and collaborative problem‑solving. We are looking for engineers who share our commitment to excellence and innovation. Why Join Us: Your Health, Your Wealth, Your Life Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. Learn more about Lockheed Martin’s competitive and comprehensive benefits package. We support our employees, so they can support our mission. Plus, you may be eligible for up to a $25K sign on bonus as an external hire! We are proactively recruiting for a future need, with the expectation of a 2025 or early 2026 start date. This requisition is being used for contingent offers. #RMSC6ISR #OneLMHotJobs #RMSRB2025

  • Custom Dissector Development – write C‑based Wireshark plugins and scripts to expose hidden protocol fields.
  • Automated Analysis Pipelines – create Docker/Kubernetes‑orchestrated workflows that ingest PCAP streams, extract features, and feed ML classifiers.
  • Data‑Flow Management – design high‑throughput pipelines using Apache Kafka or Spark for real‑time analytics.
  • AI/ML Integration – apply supervised/unsupervised learning (deep packet inspection, clustering) to spot zero‑day patterns.
  • Scripting & Automation – develop Python, Bash, PowerShell tools for rapid prototyping, CI/CD, and reporting.
  • Current DoD Top‑Secret SCI with Polygraph
  • NE3: High School Diploma/GED + 16 years providing Network Engineering support and training commensurate with network engineering curriculum OR Bachelor’s degree in Computer Science, Information Systems, Electrical Engineering, or related field + 12 years experience providing Network Engineering support and training commensurate with network engineering curriculum OR Master’s degree in a relevant discipline + 10 years professional experience providing Network Engineering support and training commensurate with network engineering curriculum
  • Cisco certification (CCNA, CCNP, or higher) required.
  • Wireshark Mastery – Expert in capture, filtering, and protocol‑specific dissectors; ability to develop custom scripts and Wireshark plug‑ins.
  • Protocol Deep‑Dive – In‑depth knowledge of TCP/IP, UDP, TLS/SSL, HTTP/2, DNS, SIP, and emerging protocols; ability to reverse‑engineer undocumented fields.
  • Custom Dissector Development – Write C dissectors to expose hidden protocol data; integrate them into automated analysis pipelines.
  • Automated Analysis Pipelines – Build containerized workflows (Docker/Kubernetes) that ingest PCAP streams, extract features, and feed ML models for threat classification.
  • Data‑Flow Management – Engineer end‑to‑end data pipelines using Apache Kafka, or Spark to handle real‑time traffic analytics at high speed rates.
  • AI/ML Integration – Apply supervised and unsupervised learning (e.g., deep packet inspection, clustering) to detect zero‑day patterns within protocol traffic.
  • Scripting & Automation – Python, Bash, PowerShell for rapid development of analysis scripts, CI/CD pipelines, and report generation.
  • Expert in packet analysis
  • Experience with different algorithms used in different networks and manufacturer equipment
  • Medical
  • Dental
  • Vision
  • Life Insurance
  • Short-Term Disability
  • Long-Term Disability
  • 401(k) match
  • Flexible Spending Accounts
  • EAP
  • Education Assistance
  • Parental Leave
  • Paid time off
  • Holidays
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