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Computer Science Research Jobs in Charlotte, NC (NOW HIRING)

Site Reliability Engineer

Charlotte, NC · On-site

$55.75 - $74/hr

... science leader with a 170 plus year history, operating dozens of manufacturing and R&D sites ... Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related ...

Graduate level degree in a quantitative field such as, computer science, math, statistics, and physics * Demonstrated prior experience through work, research or passion projects in RAG, Agentic ...

... research, information technology, process design and behavioral sciences, the incumbent will work ... Computer Science, Applied Mathematics or Engineering 3. Must be able to perform in a cross ...

You will also implement A/B testing and research emerging technologies, among other day-to-day ... Bachelor's degree in a quantitative field such as: computer science, math, and physics * You have 3 ...

Typically requires a bachelor's degree in Mathematics, Computer Science, Physics, Economics, Engineering, Statistics, Opersations Research, Quantitative Social Science or a related area and at least ...

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Computer Science Research information

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$11

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$36

How much do computer science research jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for computer science research in Charlotte, NC is $21.70, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $23.22 per hour, depending on experience, location, and employer.

What is a computer science research?

A Computer Science Research job involves investigating fundamental and applied problems in computing to develop new algorithms, technologies, or theories. Researchers work in academia, industry, or government labs, focusing on areas such as artificial intelligence, cybersecurity, and data science. They conduct experiments, publish findings, and collaborate with other experts to advance the field.

What are the typical daily responsibilities of someone working in computer science research?

Professionals in Computer Science Research spend their days designing and conducting experiments, analyzing data, reviewing current literature, and developing new algorithms or models. They often collaborate with cross-functional teams, including other researchers, engineers, and sometimes product managers, to advance the understanding or application of emerging technologies. A significant portion of their work also involves writing and presenting research papers, prototyping solutions, and occasionally mentoring students or junior team members. The role is dynamic and involves both independent investigation and teamwork to solve complex technical problems.

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

Success in Computer Science Research requires a solid background in computer science theory, algorithms, mathematics, and typically a graduate degree such as a Master's or Ph.D. in a relevant field. Familiarity with programming languages (such as Python, Java, or C++), research tools (e.g., MATLAB, TensorFlow), and publishing research in peer-reviewed venues is highly valuable. Strong analytical thinking, problem-solving, written communication, and collaboration skills allow researchers to effectively explore novel ideas and present their findings. These competencies are critical for advancing technology, contributing original research, and working effectively in academic or industry research environments.

How to become a computer science researcher?

To become a computer science researcher, typically a candidate needs a strong foundation in computer science through a bachelor's degree, followed by advanced education such as a master's or Ph.D. in a specialized area. Developing skills in programming, data analysis, and research methodologies, along with publishing research papers and gaining experience through internships or research projects, is essential.

What are the top 3 jobs with a computer science research degree?

Computer science research degrees often lead to roles such as research scientist, data scientist, and software engineer. These positions typically require strong analytical skills, programming knowledge, and familiarity with machine learning, algorithms, or data analysis tools. They are common in academia, tech companies, and research institutions.

What does a computer science researcher do?

A computer science researcher investigates and develops new algorithms, theories, and technologies related to computing. They often work in academic or industry labs, analyzing data, designing experiments, and publishing findings to advance the field. Strong programming skills and knowledge of research methodologies are essential for this role.

What kind of research can you do in computer science research?

Computer science research involves exploring areas such as algorithms, artificial intelligence, machine learning, cybersecurity, data science, software engineering, and human-computer interaction. Researchers often work on developing new technologies, improving existing systems, and solving complex computational problems using programming languages, data analysis tools, and experimental methods.

What are the most commonly searched types of Computer Science Research jobs in Charlotte, NC?

The most popular types of Computer Science Research jobs in Charlotte, NC are:

What are popular job titles related to Computer Science Research jobs in Charlotte, NC?

For Computer Science Research jobs in Charlotte, NC, the most frequently searched job titles are:

What job categories do people searching Computer Science Research jobs in Charlotte, NC look for?

The top searched job categories for Computer Science Research jobs in Charlotte, NC are:

What cities near Charlotte, NC are hiring for Computer Science Research jobs?

Cities near Charlotte, NC with the most Computer Science Research job openings:

Infographic showing various Computer Science Research job openings in Charlotte, NC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $45,145 per year, or $21.7 per hour.

Site Reliability Engineer

ElevaIT Solutions

Charlotte, NC • On-site

$55.75 - $74/hr

Other

Posted 18 days ago


Job description

Job Title: Site Reliability Engineer

Location: Remote (US, EST hours required)

Interview Process: 2x Interviews

Client Overview

This is a global materials science leader with a 170 plus year history, operating dozens of manufacturing and R&D sites worldwide. This role sits within a research and development group supporting advanced computing infrastructure behind ongoing materials science innovation.

Top 3 Skills

  • Kubernetes cluster operations and management, including provisioning, upgrades, and troubleshooting across on premises and cloud environments
  • Rancher for Kubernetes platform management
  • Linux systems administration, including performance tuning, scripting, and networking

What You'll Do

  • Maintain and enhance Kubernetes platforms across on premises and cloud environments
  • Support provisioning, upgrades, troubleshooting, and lifecycle management of Kubernetes clusters managed through Rancher
  • Provide deep Linux systems administration support, including performance tuning, troubleshooting, and automation
  • Develop and maintain infrastructure as code solutions to standardize and automate platform deployment
  • Support and improve GitOps workflows using ArgoCD to manage cluster and application configuration
  • Collaborate with developers, scientists, and infrastructure teams to deliver reliable platform services
  • Identify opportunities to improve platform resilience, observability, security, and maintainability

What We Need From You

  • 5 plus years of professional experience in site reliability engineering, platform engineering, DevOps, or systems engineering
  • Hands on experience operating Kubernetes platforms in production environments, both on premises and cloud based
  • Experience with Rancher for Kubernetes cluster management
  • Strong Linux systems administration skills, including troubleshooting, scripting, and system performance analysis
  • Experience implementing infrastructure as code solutions for platform provisioning and lifecycle management

Preferred/Bonus

  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field
  • Experience with Cluster API (CAPI)
  • Experience with hybrid infrastructure spanning on premises and public cloud (AWS, Azure, Google Cloud Platform)
  • Familiarity with Kubernetes observability, logging, monitoring, and alerting tooling
  • Experience supporting scientific research, high performance computing, or computational science environments
  • Experience with Agile teams (Scrum, Kanban)