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Computer Forensics Jobs in Raleigh, NC (NOW HIRING)

NVIDIA

Senior AI Security Researcher

Durham, NC · On-site

... forensics, secure code review, or incident-response automation. * Ability to work across ambiguous ... Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Cybersecurity or ...

Carrabba's Italian Grill

To-Go Specialist

Durham, NC · On-site

Text " Pasta " to 30437 to apply now! By texting Pasta to 30437 you will opt-in to receive hiring messages and account related messages from Fleming's Steakhouse. Text HELP for help or smshelp ...

Outback Steakhouse

To-Go Specialist

Raleigh, NC · On-site

Text " HIREME " to 30437 to apply now! By texting HIREME to 30437 you will opt-in to receive hiring messages and account related messages from Outback Steakhouse. Text HELP for help or smshelp ...

Outback Steakhouse

To-Go Specialist

Raleigh, NC · On-site

Text " HIREME " to 30437 to apply now! By texting HIREME to 30437 you will opt-in to receive hiring messages and account related messages from Outback Steakhouse. Text HELP for help or smshelp ...

Procom Consultants Group

Security Engineer

Durham, NC · On-site

TCP/IP, computer networking, routing and switching Experience in Linux/UNIX and Windows based devices at the System Administrator level Strong troubleshooting, reasoning and problem solving skills ...

Deloitte

AI Security Engineer Manager

Raleigh, NC · On-site

Bachelor's degree or equivalent in Computer Science, Computer Engineering, Business Administration * Minimum 6 years of relevant experience in software engineering, cybersecurity, and/or including AI ...

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All JobsComputer Forensics JobsComputer Forensics Jobs in Raleigh, NC

Computer Forensics information

See Raleigh, NC salary details

$23.7K

$99.3K

$156.6K

How much do computer forensics jobs pay per year?

As of Jul 14, 2026, the average yearly pay for computer forensics in Raleigh, NC is $99,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,927.00 and $133,871.00 per year, depending on experience, location, and employer.

What can you do with a computer forensics degree?

A computer forensics degree prepares individuals for roles in investigating cybercrimes, analyzing digital evidence, and supporting legal proceedings. Graduates often work as digital forensic analysts, incident responders, or cybersecurity specialists, utilizing tools like EnCase or FTK and obtaining certifications such as GCFA or EnCE to enhance job prospects.

What are some common challenges faced by professionals in computer forensics and how can they be addressed?

Computer forensics professionals often encounter challenges such as dealing with encrypted data, rapidly evolving technology, and maintaining the integrity of digital evidence. Staying current with emerging tools and techniques is crucial, as is meticulous documentation to ensure evidence is admissible in court. Collaboration with law enforcement, legal teams, and IT departments is also essential to overcome technical hurdles and ensure a thorough investigation.

Will AI take over digital forensics?

Computer forensics professionals use AI tools to assist in analyzing large volumes of digital evidence more efficiently. While AI can automate certain tasks, human expertise remains essential for interpretation, decision-making, and handling complex cases in digital forensics.

What is computer forensics?

Computer forensics, also known as digital forensics, is the practice of collecting, analyzing, and preserving digital evidence from computers and other electronic devices. Professionals in this field investigate cybercrimes, recover lost data, and provide evidence for legal cases involving digital information. They use specialized tools and techniques to ensure that the evidence remains authentic and admissible in court. Computer forensics experts often work with law enforcement, government agencies, or private companies to uncover digital footprints and solve technology-related crimes.

What are the key skills and qualifications needed to thrive as a Computer Forensics Specialist, and why are they important?

To thrive as a Computer Forensics Specialist, you need expertise in digital evidence collection, data analysis, and a strong understanding of cybersecurity concepts, often supported by a degree in computer science, cybersecurity, or a related field. Familiarity with forensic tools like EnCase, FTK, and certification such as Certified Computer Examiner (CCE) or GIAC Certified Forensic Analyst (GCFA) is typically required. Analytical thinking, attention to detail, and strong written communication are essential soft skills for accurately interpreting and reporting findings. These skills and qualifications are crucial for ensuring digital evidence is preserved, analyzed, and presented effectively in legal or investigative contexts.

What is the difference between Computer Forensics vs Digital Forensics?

AspectComputer ForensicsDigital Forensics
CertificationsEnCE, GCFAEnCE, GCFA
Work EnvironmentLaw enforcement, corporate security, consultingLaw enforcement, legal, corporate investigations
Industry UsagePrimarily in cybersecurity and law enforcementBroader, including digital crime, legal cases, and incident response

Computer Forensics and Digital Forensics are closely related fields that often overlap. Computer Forensics focuses on analyzing computers and storage devices, while Digital Forensics covers a wider range of digital media and devices. Both roles require similar certifications and are used in law enforcement and corporate settings. The main difference lies in scope: Computer Forensics is more specific to computers, whereas Digital Forensics includes all digital evidence.

Is computer forensics a good career?

Computer forensics is a specialized field within cybersecurity that involves investigating digital crimes and analyzing electronic evidence. It offers strong job growth, competitive salaries, and requires skills in digital tools, programming, and certifications like GCFA or EnCE. The role often involves detailed analysis, report writing, and collaboration with law enforcement or legal teams.

What does a computer forensic do?

A computer forensic professional investigates digital devices to recover, analyze, and preserve electronic evidence for legal or security purposes. They use specialized tools and techniques to examine data, often working closely with law enforcement or legal teams to support investigations and ensure evidence integrity.
What are the most commonly searched types of Computer Forensics jobs in Raleigh, NC? The most popular types of Computer Forensics jobs in Raleigh, NC are:
What are popular job titles related to Computer Forensics jobs in Raleigh, NC? For Computer Forensics jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Computer Forensics jobs in Raleigh, NC look for? The top searched job categories for Computer Forensics jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Computer Forensics jobs? Cities near Raleigh, NC with the most Computer Forensics job openings:
Computer Forensics jobs near you
Senior AI Security Researcher

Senior AI Security Researcher

Nvidia Corporation

Durham, NC • On-site

Full-time

Posted 4 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

NVIDIA is looking for a Senior AI Security Researcher to help define how frontier AI systems, agentic applications, and AI-enabled security automation are tested, attacked, defended, and safely deployed. You will build new methods, tools, evaluations, and proofs of concept that help NVIDIA understand and reduce security risk across AI models, AI platforms, autonomous agents, cloud services, developer tooling, and accelerated computing systems!
We are looking for a researcher who can move fluidly from open-ended research questions to application within working systems: someone who can discover novel failure modes, build rigorous evaluation harnesses, prototype adversarial and defensive techniques, and turn findings into practical mitigations for engineering teams. The right person may come from AI security, ML security, malware data science, cyber-defense research, adversarial ML, LLM security, offensive security, threat hunting, or applied security research at scale!
What You'll Be Doing:
  • Develop and answer open-ended AI security research questions that helps NVIDIA understand, measure, and reduce risk in frontier models, agentic systems, AI platforms, and AI-enabled products.
  • Develop practical methods, prototypes, evaluations, or tools that reveal how AI systems can fail under adversarial conditions and how those risks can be mitigated.
  • Explore a range of AI security problems, such as LLM and agent security, adversarial testing, model evaluation, cyber-defense automation, vulnerability discovery, secure deployment, or autonomous response.
  • Translate research into usable outcomes for engineering and security teams, including proof-of-concept demonstrations, benchmarks, technical guidance, mitigations, and secure-by-design recommendations.
  • Collaborate across offensive security, product security, AI research, platform, cloud, and infrastructure teams to connect research insights with NVIDIA's highest-impact security priorities.
  • Help shape NVIDIA's AI-security research strategy by mentoring others, identifying emerging risks, and building repeatable practices for evaluating and defending AI systems.

What We Need to See:
  • 12+ years of experience in AI security, cybersecurity research, applied ML research, offensive security, cyber defense, or related technical fields.
  • Demonstrated record of original research and practical impact, such as deployed security ML systems, AI-security evaluations, CVEs, patents, publications, conference talks, open-source tools, production mitigations, or funded research programs.
  • Hands-on ability to build working research systems in Python and modern ML/data tooling such as PyTorch, JAX, TensorFlow, scikit-learn, Pandas, NumPy, Spark, BigQuery, or comparable platforms.
  • Experience with one or more AI-security areas: LLM security, adversarial ML, model evaluation, agent security, prompt injection, model backdoors, data poisoning, model abuse, secure RAG, synthetic data, or AI-enabled security automation.
  • Strong cybersecurity foundation, including threat modeling, adversary simulation, exploit or vulnerability research, malware analysis, network defense, threat hunting, detection engineering, digital forensics, secure code review, or incident-response automation.
  • Ability to work across ambiguous research problems and practical product constraints, translating findings into prioritized recommendations and measurable security outcomes.
  • Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Cybersecurity or a related field.
  • Experience leading AI-security research for major models, AI platforms, security products, or large-scale production systems.
  • A track record of building security ML systems that operate at real-world scale,

Ways to Stand Out from the Crowd:
  • Published work or public technical leadership in AI security, malware data science, adversarial ML, LLM security, cyber-defense automation, or offensive AI.
  • Experience developing benchmarks, challenge datasets, red-team tools, evaluation suites, or simulation environments for AI and security systems.
  • Deep knowledge of attacker tradecraft, including living-off-the-land techniques, supply-chain abuse, application-layer AI attacks, data exfiltration, and abuse of autonomous tooling.
  • Experience with low-level systems security.
  • History of mentoring researchers, winning or leading research programs, filing patents, publishing papers, or speaking at major security and AI venues.

In this role, your research will help NVIDIA build AI systems that are not only powerful, but trustworthy, resilient, and secure. You will work with world-class researchers, engineers, and security teams on problems that matter to NVIDIA's products, customers, and the broader AI ecosystem.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 12, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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