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Malware Developer Jobs in Pennsylvania (NOW HIRING)

Artificial Intelligence (AI) Security, Malware and Vulnerability Exploitation, and Platform and Mission Engineering. The AI Security team works on advancing the state of the art in AI security at a ...

Artificial Intelligence (AI) Security, Malware and Vulnerability Exploitation, and Platform and Mission Engineering. The AI Security team works on advancing the state of the art in AI security at a ...

The CERT Division of the Software Engineering Institute (SEI) is seeking applicants for the role of ... We have access to a wide variety of cyber-related data, including malware samples, NetFlow data ...

The CERT Division of the Software Engineering Institute (SEI) is seeking applicants for the role of ... We have access to a wide variety of cyber-related data, including malware samples, NetFlow data ...

Showing results 21-40

Malware Developer information

See Pennsylvania salary details

$48.1K

$112.1K

$166.4K

How much do malware developer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for malware developer in Pennsylvania is $112,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,200.00 and $130,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a malware developer?

To thrive as a Malware Developer, a strong understanding of programming languages (such as C/C++, Python, or Assembly), operating system internals, and computer security concepts is essential, typically supported by a degree in computer science or cybersecurity. Familiarity with debugging tools, virtualization environments, and reverse engineering frameworks (like IDA Pro or OllyDbg) is typically required, along with relevant security certifications such as OSCP or CEH. Strong analytical skills, creative problem-solving, and attention to detail are important to excel in this field. These competencies enable professionals to design sophisticated software, analyze system vulnerabilities, and implement effective technical solutions.

What are some common challenges faced by malware developers in their daily work?

Malware Developers often encounter the challenge of staying ahead of rapidly evolving security technologies and adapting their techniques to bypass advanced detection systems. They must frequently analyze complex operating systems and network environments to identify vulnerabilities and ensure their software remains effective and relevant. Collaboration can also be a challenge, as these professionals may need to coordinate closely with cybersecurity analysts, reverse engineers, or other members of a security development team. Addressing these challenges requires continual learning, adaptability, and a high level of technical proficiency.

What is a malware developer?

A Malware Developer is an individual who creates malicious software, such as viruses, worms, Trojans, and ransomware, to exploit vulnerabilities in systems, networks, or applications. These individuals may work for cybercriminal organizations, nation-state groups, or ethical hacking teams for research and defensive purposes. Their job often involves coding in languages like C, C++, Python, or Assembly and using various obfuscation techniques to evade detection. While illegal in most cases, cybersecurity professionals may study malware development to better understand and defend against cyber threats.

What are the most commonly searched types of Malware Developer jobs in Pennsylvania?

The most popular types of Malware Developer jobs in Pennsylvania are:

What are popular job titles related to Malware Developer jobs in Pennsylvania?

For Malware Developer jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Malware Developer jobs in Pennsylvania look for?

The top searched job categories for Malware Developer jobs in Pennsylvania are:

Infographic showing various Malware Developer job openings in Pennsylvania as of August 2026, with employment types broken down into 72% Full Time, 23% Part Time, and 5% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $112,114 per year, or $53.9 per hour.

Senior AI Security Software Engineer

Carnegie Mellon University

Pittsburgh, PA • On-site

$111K - $152K/yr

Full-time

Re-posted 27 days ago


Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

67th of 618 rated colleges and universities


Job description

Job Summary:
Carnegie Mellon University is seeking a Senior AI Security Software Engineer to join the CERT Division of the Software Engineering Institute (SEI). This role involves researching and developing AI security tactics and solutions, collaborating with researchers to address AI security challenges and contributing to national security through innovative technologies.
Responsibilities:
• Develop machine learning–based prototypes, tools, and systems for AI security applications, demonstrating strong expertise in ML development and deployment
• Collaborate with researchers and stakeholders to design and execute experimental AI security solutions, communicating effectively across technical and non-technical audiences
• Apply software engineering best practices to build scalable, maintainable systems, grounded design principles
• Process and analyze large, diverse cybersecurity datasets (e.g., malware, NetFlow, incident data), using strong analytical and problem-solving skills
• Support AI red teaming and adversarial machine learning initiatives, applying an innovative and research-driven mindset
• Translate research concepts into practical, operational capabilities, with the ability to work independently and as part of a collaborative team
Qualifications:
Required:
• BS in computer science, machine learning, cybersecurity, statistics, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD in the same fields with five (5) years of experience
• Understanding of software engineering principles and system design
• Experience with containerization and microservices architectures
• Travel to various locations to support the SEI’s overall mission. This includes within the SEI and CMU community, sponsor sites, conferences, and offsite meetings on occasion (5%)
• You will be subject to a background check and will need to obtain and maintain a Department of War (DoW) security clearance
• Develop machine learning–based prototypes, tools, and systems for AI security applications, demonstrating strong expertise in ML development and deployment
• Collaborate with researchers and stakeholders to design and execute experimental AI security solutions, communicating effectively across technical and non-technical audiences
• Apply software engineering best practices to build scalable, maintainable systems, grounded design principles
• Process and analyze large, diverse cybersecurity datasets (e.g., malware, NetFlow, incident data), using strong analytical and problem-solving skills
• Support AI red teaming and adversarial machine learning initiatives, applying an innovative and research-driven mindset
• Translate research concepts into practical, operational capabilities, with the ability to work independently and as part of a collaborative team
Preferred:
• Experience applying statistical modeling and advanced data analytics techniques
• Background in developing AI/ML solutions in real-world settings
• Familiarity with applied machine learning domains (e.g., natural language processing, computer vision, autonomy, audio analysis)
• Experience and knowledge in cybersecurity best practices
• Demonstrated ability to quickly learn and adapt to new technologies and domains
Company:
Carnegie Mellon University is a research university offering programs and research across engineering, science, arts, and business. Founded in 1900, the company is headquartered in Pittsburgh, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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