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Google Reverse Engineer Jobs in Maryland (NOW HIRING)

Malware analysis and reverse engineering * Resilient networking in support of cyber mission goals ... Experience with platforms such as Amazon Web Services, Microsoft Azure, Google Cloud Platform

Malware analysis and reverse engineering * Resilient networking in support of cyber mission goals ... Experience with platforms such as Amazon Web Services, Microsoft Azure, Google Cloud Platform

Malware analysis and reverse engineering * Resilient networking in support of cyber mission goals ... Experience with platforms such as Amazon Web Services, Microsoft Azure, Google Cloud Platform

Malware analysis and reverse engineering * Resilient networking in support of cyber mission goals ... Experience with platforms such as Amazon Web Services, Microsoft Azure, Google Cloud Platform

Software Research Engineer

Silver Spring, MD · On-site

$211K/yr

Malware analysis and reverse engineering * Resilient networking in support of cyber mission goals ... Experience with platforms such as Amazon Web Services, Microsoft Azure, Google Cloud Platform

Malware analysis and reverse engineering * Resilient networking in support of cyber mission goals ... Experience with platforms such as Amazon Web Services, Microsoft Azure, Google Cloud Platform

Google Reverse Engineer information

What is a Google Reverse Engineer?

A Google Reverse Engineer is a professional who analyzes Google’s software, products, or services to understand their inner workings, often by studying how code functions without access to the original source code. This process can involve deciphering algorithms, protocols, or security mechanisms to enhance compatibility, improve security, or uncover vulnerabilities. Reverse engineers typically use specialized tools and techniques to deconstruct and analyze Google software, all while adhering to legal and ethical standards. Their work is important in cybersecurity, software development, and interoperability research.

What are the key skills and qualifications needed to thrive as a Google Reverse Engineer, and why are they important?

To thrive as a Google Reverse Engineer, you need strong expertise in computer science fundamentals, assembly language, binary analysis, and experience with reverse engineering tools—often supported by a related degree or equivalent experience. Familiarity with tools like IDA Pro, Ghidra, and debuggers, as well as certifications such as OSCP or CREST CRT, is typically expected. Analytical thinking, problem-solving, and meticulous attention to detail are essential soft skills for uncovering vulnerabilities and understanding complex software. These skills enable reverse engineers to identify security flaws, improve product security, and protect organizational assets from potential threats.

What are some common challenges faced by Google Reverse Engineers when analyzing complex software systems?

Google Reverse Engineers often encounter challenges such as dealing with heavily obfuscated code, undocumented protocols, and rapidly evolving software environments. They need to carefully dissect binaries and proprietary code to understand functionality, which can be time-consuming and require creative problem-solving. Collaboration with security analysts and software developers is common, as insights from reverse engineering can inform vulnerability mitigation and product improvements. Staying up-to-date with the latest tools and techniques is essential for overcoming these obstacles efficiently.

What is the difference between Google Reverse Engineer vs Security Analyst?

AspectGoogle Reverse EngineerSecurity Analyst
Required CredentialsTechnical degrees, cybersecurity certifications, reverse engineering skillsCybersecurity certifications, analytical skills, sometimes degrees in IT or related fields
Work EnvironmentTech companies, cybersecurity firms, research labsCorporate security teams, government agencies, consulting firms
Employer & Industry UsagePrimarily in tech and cybersecurity industriesAcross various industries including finance, government, and tech
Common Search & Comparison IntentUnderstanding technical skills and reverse engineering rolesAssessing security roles and responsibilities

Google Reverse Engineers focus on analyzing and dissecting software, malware, and security vulnerabilities through reverse engineering techniques. Security Analysts monitor, detect, and respond to security threats within organizations. While both roles require cybersecurity knowledge, reverse engineers are more technical and research-oriented, whereas security analysts focus on threat management and defense strategies.

What job categories do people searching Google Reverse Engineer jobs in Maryland look for?

The top searched job categories for Google Reverse Engineer jobs in Maryland are:

What cities in Maryland are hiring for Google Reverse Engineer jobs?

Cities in Maryland with the most Google Reverse Engineer job openings:

Senior Security Analyst, Google Threat Intelligence Group with Security Clearance

Google, Inc.

Southern Md Facility, MD • On-site

Other

Posted 17 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 245 rated software companies


Job description

Remote location: Maryland, USA.Minimum qualifications: * Bachelor's degree in Computer Science or related technical field, or equivalent practical experience. * 5 years of experience with security engineering, computer and network security and security protocols. * 5 years of experience with security assessments or security design reviews or threat modeling. * 1 year of experience leading teams or projects in a technical capacity, or leading technical risk analysis in an enterprise environment. * Experience applying Cyber Threat Intelligence (CTI) methodologies to support monitoring, detection, and response capabilities within cyber security organizations. * Must possess an active Top Secret/SCI security clearance with current polygraph. Preferred qualifications: * 3 years of security experience such as security engineering, security operations, vulnerability management, incident management, security assessments (e.g., audits, threat modeling), or security assurance and compliance (ISO27001, NIST Cybersecurity). * Experience in one or more of the following areas: malware reverse engineering, network forensics, threat hunting, or cloud security incident response. * Understanding of AI/ML concepts (Large Language Models (LLMs), predictive modeling, data pipelines) with the ability to discuss them fluently with both engineers and non-technical staff. About the job In your capacity as a Security Analyst within the Google Threat Intelligence Group (GTIG) Department of Defense (DoD) team, you will act as the lead onsite Mandiant authority for a client focusing on AI technologies. You will be tasked with connecting the domains of artificial intelligence and advanced cyber threat intelligence, gaining a deep understanding of the customer's specific AI-related threat landscape to cultivate strong alliances between Google and client stakeholders. Your routine responsibilities will include converting intricate technical data into customized, strategic intelligence that empowers our partners to effectively counter and respond to evolving AI-driven cyber risks. This is not a fully remote position - 5 days each week onsite at Anne Arundel County, MD is required. Part of Google Cloud, Mandiant is a recognized leader in dynamic cyber defense, threat intelligence and incident response services. Mandiant's cybersecurity expertise has earned the trust of security professionals and company executives around the world. Our unique combination of renowned frontline experience responding to some of the most complex breaches, nation-state grade threat intelligence, machine intelligence, and the industry's best security validation ensures that Mandiant knows more about today's advanced threats than anyone. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $147000 - $213000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities * Identify, understand, communicate, and advocate for specific threats and vulnerabilities unique to AI/ML systems with both the client and relevant Google stakeholders to improve intelligence and sharing. * Communicate complex technical findings regarding AI security threats, vulnerabilities, and incident response insights effectively to both technical and non-technical audiences, verbally and in writing. * Produce tailored intelligence reports and briefs that meet the specific needs of the customer's intelligence analysts and senior leadership. * Foster collaboration across internal teams (e.g., data scientists, engineers, analysts), third parties, and Mandiant stakeholders to share insights and address complex AI security challenges informed by AI/ML security best practices. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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