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Computer Science Cyber Security Jobs in Wisconsin

Froedtert South

Cybersecurity Engineer

Kenosha, WI · On-site

Froedtert South is seeking a Cybersecurity Engineer to protect computers, networks, and sensitive ... Computer Sciences or equivalent work experience • 3+ years • Ability to read, write, speak, and ...

Deloitte

Lead Cloud Security Analyst

Milwaukee, WI

Bachelor's Degree or equivalent in Computer Science, Cybersecurity, IT, or related field. * Minimum 8 years of hands-on experience in cloud engineering, cybersecurity, and/or infrastructure-ideally ...

Monitise

Cyber and Technology Risk Manager

Milwaukee, WI · On-site

$128K - $216K/yr

Demonstrated understanding and comprehension of a wide range of cyber security solutions Experience that would be great to have: * Master's degree in information assurance or computer science is ...

Monitise

Cyber RiskMgmt- Sr Professional

Milwaukee, WI · On-site

$90K - $144K/yr

... cyber security solutions Experience that would be great to have: * Master's degree not required, but advanced degree (e.g., master's in information assurance or computer science) is preferred.

King Juice Company

IT Intern

Milwaukee, WI · On-site

$14.75 - $19.75/hr

This role is intended for a recent graduate who has completed a bachelor's degree in Information Technology, Computer Science, Information Systems, Cybersecurity, Networking or a related field and ...

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Computer Science Cyber Security information

See Wisconsin salary details

$57.5K

$134.2K

$187.7K

How much do computer science cyber security jobs pay per year?

As of Aug 13, 2026, the average yearly pay for computer science cyber security in Wisconsin is $134,206.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,000.00 and $151,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in computer science cyber security, and why are they important?

To thrive in Computer Science Cyber Security, a strong background in computer science, network architecture, and information security principles is typically required, often supported by a relevant bachelor's degree or higher. Familiarity with security frameworks, intrusion detection systems, firewalls, and certifications like CISSP or CEH are highly valued. Analytical thinking, problem-solving abilities, and excellent communication skills are important soft skills that set candidates apart. These competencies are critical for effectively safeguarding digital assets, managing threats, and collaborating with various stakeholders in dynamic environments.

Is computer science good for cyber security?

A degree in computer science provides a strong foundation for a cybersecurity career by teaching programming, networking, and systems analysis skills. Cybersecurity professionals often use tools like firewalls, intrusion detection systems, and encryption, and certifications such as CISSP or CEH can enhance job prospects. The field requires continuous learning to keep up with evolving threats and technologies.

What jobs can I get with a BS in computer science cyber security?

A BS in computer science with a focus on cyber security qualifies you for roles such as cybersecurity analyst, security engineer, penetration tester, or security consultant. These positions involve protecting systems from threats, analyzing vulnerabilities, and implementing security measures, often requiring knowledge of tools like firewalls, intrusion detection systems, and relevant certifications such as CompTIA Security+ or CISSP.

What is a computer science cyber security?

A Computer Science Cyber Security job involves protecting computer systems, networks, and data from cyber threats such as hacking, malware, and data breaches. Professionals in this field analyze security risks, develop protective measures, and respond to cyber incidents. They work with encryption, firewalls, intrusion detection systems, and security protocols to safeguard sensitive information. Careers in this field include cybersecurity analysts, penetration testers, and security engineers, often requiring knowledge of programming, networking, and digital forensics.

What are the typical daily responsibilities of a professional in computer science cyber security?

Professionals in Computer Science Cyber Security typically spend their days monitoring network activity, analyzing potential security threats, and implementing measures to prevent cyber attacks. They often collaborate with IT teams to establish best practices, conduct vulnerability assessments, and develop incident response protocols. Additionally, they may be responsible for educating colleagues about cybersecurity awareness and staying up to date with emerging threats and technologies. This hands-on, collaborative environment supports both technical skill development and ongoing professional growth.

What are the most commonly searched types of Computer Science Cyber Security jobs in Wisconsin? The most popular types of Computer Science Cyber Security jobs in Wisconsin are:
What are popular job titles related to Computer Science Cyber Security jobs in Wisconsin? For Computer Science Cyber Security jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Computer Science Cyber Security jobs in Wisconsin look for? The top searched job categories for Computer Science Cyber Security jobs in Wisconsin are:
Computer Science Cyber Security jobs near you
Infographic showing various Computer Science Cyber Security job openings in Wisconsin as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 2% Temporary, and 2% Contract. Highlights an 81% In-person, 6% Hybrid, and 13% Remote job distribution, with an average salary of $134,206 per year, or $64.5 per hour.

Trust & Safety Engineer (GenAI) - Remote

micro1 AI

Milwaukee, WI • Remote

$50 - $90/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Role Title: AI Jailbreak & Prompt-Injection Security Expert


Role Type: Contractor


Location: Remote


micro1 is engaging AI Jailbreak & Prompt-Injection Security Experts to contribute to a cutting-edge customer initiative focused on AI safety and robustness. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Design and implement advanced methodologies for evaluating AI system safety, focusing on ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse scenarios.
  2. Create comprehensive cross-domain elicitation strategies to uncover multi-turn and complex adversarial bypass patterns in AI models.
  3. Develop, maintain, and update regression test suites that systematically test for jailbreak susceptibility and prompt-injection vulnerabilities.
  4. Construct robust evaluation frameworks that stress-test AI models against real-world adversarial threats, aiming to enhance overall system robustness.
  5. Collaborate with technical stakeholders to translate security findings into actionable improvements for model safety and risk mitigation.
  6. Document methodologies, findings, and best practices in clear, well-structured written reports and presentations for both technical and non-technical audiences.


Preferred Qualifications

  1. 2+ years of expertise in adversarial machine learning, LLM red teaming, AI safety evaluation, or a closely related security domain
  2. Proven experience researching, testing, or uncovering vulnerabilities related to ethical jailbreaks, prompt injection, tool-use abuse, or adversarial AI attacks.
  3. Advanced degree (PhD, MS) in computer science, cybersecurity, machine learning, or a relevant discipline, or equivalent operational/professional background.
  4. High credibility and recognition within the AI security or adversarial ML community—such as published research, open-source tools, or conference presentations.
  5. Exceptional written and verbal communication skills, with a strong focus on clear documentation and collaborative problem-solving.
  6. Prior participation in multi-disciplinary projects or cross-functional AI safety initiatives is a plus.
  7. Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools is highly desirable.

Apply