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Computer Science Jobs in Orangeburg, SC (NOW HIRING)

Bachelor's degree in Computer Science or related fields, or equivalent experience Why Corelight? * At Corelight, we foster a culture of openness, collaboration, and innovation. Our low-ego results ...

Bachelor's degree in engineering, Computer Science, or equivalent practical experience * Proven experience with AVEVA/Wonderware System Platform and OSI PI Historian * Strong knowledge of SCADA ...

Bachelor's or Master's in Computer Science, Engineering, or a related field, or equivalent professional experience. Preferred Experience in security, or building AI for security use cases What this ...

Bachelor's degree in Computer Science, Engineering, Information Systems, Finance, or related field; or equivalent practical experience in banking technology or product roles. Five plus years in ...

Bachelor's degree in Computer Science, Engineering, Information Systems, Finance, or related field. Five plus years of experience in technology and operations role, with three plus years in ...

Showing results 21-40

Computer Science information

See Orangeburg, SC salary details

$54.2K

$79.7K

$94K

How much do computer science jobs pay per year?

As of Jul 28, 2026, the average yearly pay for computer science in Orangeburg, SC is $79,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,300.00 and $89,700.00 per year, depending on experience, location, and employer.

What is the difference between Computer Science vs Software Developer?

AspectComputer ScienceSoftware Developer
Required CredentialsBachelor's or higher in CS or related fieldBachelor's in CS, Software Engineering, or related field often preferred
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, software firms, freelance projects
Industry UsageAcademic research, algorithm development, theoretical workBuilding, coding, testing software applications
Common Search/ComparisonFocuses on theoretical foundations and algorithmsFocuses on practical software creation and deployment

Computer Science and Software Developer roles often overlap, but Computer Science emphasizes theoretical foundations, algorithms, and research, while Software Developers focus on designing, coding, and maintaining software applications. Both roles require programming skills, but their primary focus and work environments differ.

What is computer science?

Computer science is the study of computers, computational systems, and how they process information. It covers a wide range of topics, including programming, algorithms, data structures, artificial intelligence, and software engineering. Computer scientists design and analyze software and hardware to solve problems and improve technology. The field is essential in many industries, from finance and healthcare to entertainment and research.

What Are Computer Science Jobs?

The computer science field provides a wide range of opportunities for technically talented individuals. Depending on your skills and interests, you can find computer science jobs as a software developer, hardware engineer, database administrator, computer systems analyst, network architect, information security analyst, or web developer. You need an analytical mind and strong technical skills to perform your job duties, which may be to develop, maintain, and troubleshoot computer systems, applications, or networks. Your responsibilities in a computer science job are often directly related to the business goals and outcomes of your employer.

What are the key skills and qualifications needed to thrive in a Computer Science role, and why are they important?

To thrive in a Computer Science role, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with languages like Python, Java, C++, version control systems such as Git, and software development methodologies is often required. Analytical thinking, attention to detail, and effective teamwork are valuable soft skills that set candidates apart. These skills ensure you can design efficient solutions, collaborate on complex projects, and adapt to rapidly evolving technologies.

What are some common challenges computer science professionals face when working on collaborative software projects?

Computer science professionals often encounter challenges such as coordinating with team members across different disciplines, managing version control in shared codebases, and ensuring clear communication of technical concepts to non-technical stakeholders. Navigating conflicting priorities and integrating diverse components can also be demanding, especially in agile environments with tight deadlines. Strong collaboration skills, openness to feedback, and familiarity with team tools like Git and project management platforms can help address these challenges effectively.
What are the most commonly searched types of Computer Science jobs in Orangeburg, SC? The most popular types of Computer Science jobs in Orangeburg, SC are:
What are popular job titles related to Computer Science jobs in Orangeburg, SC? For Computer Science jobs in Orangeburg, SC, the most frequently searched job titles are:
What cities near Orangeburg, SC are hiring for Computer Science jobs? Cities near Orangeburg, SC with the most Computer Science job openings:
Infographic showing various Computer Science job openings in Orangeburg, SC as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $79,693 per year, or $38.3 per hour.
Security Product Researcher

Security Product Researcher

Job Board

North, SC

Other

Posted 25 days ago


Job description

Security Product Researcher

Do you want to help make the world safe from cyber attack? 
At Corelight, we believe that the best approach to cybersecurity risk starts with the network.  Attackers can evade endpoint detection, firewalls and many other technologies - but they can't avoid leaving digital footprints on the networks they traverse. Built on open-source innovations from Zeek, Suricata and YARA and refined through years of real-world use, Corelight transforms network footprints from physical, virtual and cloud networks into actionable insights. Our customers use these insights to speed incident response and proactively hunt for threats.  

Role

As an Security Product Researcher at Corelight, you will collaborate closely with product management, engineering, and network security experts to investigate, design, test, and construct solutions for complex network security challenges. You will play a pivotal role in defining what is achievable for future Corelight products and setting the benchmark for network detection in the cybersecurity landscape.

Responsibilities
  • Turn theory into code with rapid prototyping. You will lead early development initiatives by coding and scripting rapid prototypes (using tools like Zeek, Suricata, and AI/LLMs) to prove that a problem can be solved before we commit engineering scale.
  • Demonstrate a proven ability to utilize AI, including Large Language Models (LLMs) and agentic systems, for both software development and cybersecurity applications.
  • Work in close partnership with leaders in product, research, and engineering on the forthcoming generation of network security AI products.
  • Manage and advance projects from their initial concept to customer deployment and testing, demonstrating an ability to iterate quickly and effectively.
  • Harness existing capabilities to find innovative ways to enhance the usability, deployment, and consumption of Corelight products.
  • Cultivate new product ideas and features, driven by a strong sense of curiosity and a passion for innovation.
  • Champion innovation within Corelight and its customer base.
Qualifications
  • A strong dedication to our core values: low-ego results, tireless service, and applied curiosity.
  • 5+ years of experience in agile development within a full-stack environment with demonstrated experience in LLM and agentic AI ecosystems.
  • A solid grasp of the cybersecurity landscape, with a particular emphasis on network detection and response.
  • The ability to work autonomously, manage multiple tasks, and iterate on solutions with speed and efficiency while proactively communicating progress, sharing updates without prompting, and building solutions in a transparent, followable way that keeps stakeholders informed at every stage.
  • Understanding of computer networking, including layers 2-7 of the OSI model and their contributions to network operations and security.
  • A thorough understanding of network security concepts, including encryption, protocol abuse, and patterns of attack.
  • Understanding of security operations, threat hunting, and incident response procedures.
  • Customer-centric communication skills for effective interaction both internally and with external stakeholders.
Preferred Qualifications
  • Hands-on experience with Security Information and Event Management (SIEM) systems such as Splunk or Elastic.
  • A strong background in adopting and utilizing Agile development methodologies and tools, with experience working in a distributed team environment.
  • Exceptional communication skills, with a history of successful collaboration across UX, engineering, and product teams.
  • Familiarity with data analytics, AI-assisted security decision-making, and automation.
  • Education: A degree in Computer Science, Cybersecurity, or a related technical field (or equivalent practical experience).