... internships, or significant project experience. • Strong background in computer vision and deep ... in Unix/Linux environments. • Excellent written, visual, and verbal communication skills to ...
... internships, or significant project experience. • Strong background in computer vision and deep ... in Unix/Linux environments. • Excellent written, visual, and verbal communication skills to ...
... internships, or significant project experience. • Strong background in computer vision and deep ... in Unix/Linux environments. • Excellent written, visual, and verbal communication skills to ...
... internships, or significant project experience. • Strong background in computer vision and deep ... in Unix/Linux environments. • Excellent written, visual, and verbal communication skills to ...
... internships, or significant project experience. • Strong background in computer vision and deep ... in Unix/Linux environments. • Excellent written, visual, and verbal communication skills to ...
... internships, or significant project experience. • Strong background in computer vision and deep ... in Unix/Linux environments. • Excellent written, visual, and verbal communication skills to ...
Knowledge of Unix/Linux System Programming and Multithreaded programming * Experience in the ... If you have a Bachelor's degree and more than 2 years of relevant experience, excluding internships ...
Knowledge of Unix/Linux System Programming and Multithreaded programming * Experience in the ... If you have a Bachelor's degree and more than 2 years of relevant experience, excluding internships ...
NetApp Emerging Talent - Software Engineer (Systems)
Morrisville, NC · Hybrid
$161.80K - $191.80K/yr
Knowledge of Unix/Linux System Programming and Multithreaded programming * Experience in the ... If you have a Bachelor's degree and less than 2 years of relevant experience, excluding internships ...
NetApp Emerging Talent - Software Engineer (Systems)
Morrisville, NC · Hybrid
$161.80K - $191.80K/yr
Knowledge of Unix/Linux System Programming and Multithreaded programming * Experience in the ... If you have a Bachelor's degree and less than 2 years of relevant experience, excluding internships ...
... internships, or significant project experience. * Strong background in computer vision and deep ... Ability to develop code in Unix/Linux environments. * Excellent written, visual, and verbal ...
... internships, or significant project experience. * Strong background in computer vision and deep ... Ability to develop code in Unix/Linux environments. * Excellent written, visual, and verbal ...
... internships, or significant project experience. * Strong background in computer vision and deep ... Ability to develop code in Unix/Linux environments. * Excellent written, visual, and verbal ...
... internships, or significant project experience. * Strong background in computer vision and deep ... Ability to develop code in Unix/Linux environments. * Excellent written, visual, and verbal ...
... internships, or significant project experience. * Strong background in computer vision and deep ... Ability to develop code in Unix/Linux environments. * Excellent written, visual, and verbal ...
... internships, or significant project experience. * Strong background in computer vision and deep ... Ability to develop code in Unix/Linux environments. * Excellent written, visual, and verbal ...
Internship Unix information
See Raleigh, NC salary details
$8.88 - $10.18
2% of jobs
$10.18 - $11.47
2% of jobs
$11.47 - $12.77
3% of jobs
$12.77 - $14.06
17% of jobs
$14.14 is the 25th percentile. Wages below this are outliers.
$14.06 - $15.36
18% of jobs
The median wage is $16.05 / hr.
$15.36 - $16.65
16% of jobs
$16.65 - $17.95
11% of jobs
$18.36 is the 75th percentile. Wages above this are outliers.
$17.95 - $19.25
20% of jobs
$19.25 - $20.54
6% of jobs
$20.54 - $21.84
3% of jobs
$21.84 - $23.13
2% of jobs
$8
$16
$23
How much do internship unix jobs pay per hour?
As of May 29, 2026, the average hourly pay for internship unix in Raleigh, NC is $16.82, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $18.70 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as an Internship Unix, and why are they important?
To thrive as an Internship Unix, you need a basic understanding of Unix/Linux operating systems, command-line proficiency, and familiarity with scripting languages like Bash or Python, often supported by coursework or certifications in computer science or IT. Knowledge of tools such as SSH, version control systems (e.g., Git), and text editors (e.g., Vim or Nano) is commonly expected. Problem-solving ability, eagerness to learn, and effective communication are valuable soft skills for excelling in this role. These skills and qualities are essential for efficiently supporting system operations, troubleshooting issues, and collaborating with technical teams.
What types of projects and responsibilities can I expect during a Unix internship?
During a Unix internship, you'll typically work on tasks such as system monitoring, scripting for automation, troubleshooting basic operating system issues, and assisting with server maintenance. Interns often support senior administrators with routine updates, user account management, and documentation of system configurations. You may also have opportunities to contribute to small-scale projects, such as optimizing shell scripts or participating in system upgrades, which helps build hands-on experience. Collaboration with IT support teams and exposure to real-world infrastructure challenges are also common, providing a strong foundation for a future role in Unix system administration.
What is an Internship Unix position?
An Internship Unix position is a temporary role, typically for students or recent graduates, that focuses on learning and working with the Unix operating system. Interns in this role assist with system administration, scripting, troubleshooting, and supporting Unix-based environments. The position aims to provide hands-on experience in Unix/Linux systems, helping interns build foundational skills for a career in IT or system administration. Responsibilities often include monitoring systems, performing routine maintenance, and developing automation scripts.
What is the difference between Internship Unix vs Junior Unix System Administrator?
| Aspect | Internship Unix | Junior Unix System Administrator |
|---|---|---|
| Required Credentials | Typically students or recent graduates, some technical coursework | Associate's or Bachelor's in Computer Science or related field, some certifications |
| Work Environment | Training environment, supervised tasks, learning-focused | Operational environment, responsible for maintaining Unix systems |
| Employer & Industry Usage | Internships offered by tech companies, IT departments, or training programs | IT firms, enterprise companies, data centers |
| Common Search & Comparison Intent | Understanding entry-level learning opportunities | Clarifying job responsibilities and career progression |
Internship Unix positions are designed for students or recent graduates gaining initial experience in Unix systems, often under supervision. Junior Unix System Administrators are entry-level professionals responsible for maintaining and supporting Unix environments, requiring some foundational knowledge and certifications. While internships focus on learning, junior roles involve operational tasks, making them a step forward in a Unix career path.
What are popular job titles related to Internship Unix jobs in Raleigh, NC? For Internship Unix jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Internship Unix jobs in Raleigh, NC look for? The top searched job categories for Internship Unix jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Internship Unix jobs? Cities near Raleigh, NC with the most Internship Unix job openings:
Full-time
Posted 23 days ago
Job description
Job Summary:
NVIDIA has been transforming computer graphics, PC gaming, accelerated computing, and machine learning for more than 25 years. They are hiring a Deep Learning Engineer with strong experience in generative AI and computer vision to convert research into real products and build workflows that diversify datasets. The role involves shipping machine learning workflows and defining evaluation criteria for production models.
Responsibilities:
• Convert research into real products (not just slide decks or notebooks)
• Help build workflows that diversify datasets and/or populate data
• Ship machine learning workflows/pipelines fast and iterate faster
• Leverage LLM/VLM and agents in the data generation pipeline
• Define evaluation criteria and run offline evals before any model or prompt change reaches production
Qualifications:
Required:
• Master's, or preferably a PhD degree in Computer Science or a related field (or equivalent experience)
• 5+ years of experience
• Solid mathematical and algorithmic foundation and proven expertise demonstrated through research publications, internships, or significant project experience.
• Strong background in computer vision and deep learning.
• Excellent programming skills in Python and C/C++.
• Excellent software engineering fundamentals.
• Ability to develop code in Unix/Linux environments.
• Excellent written, visual, and verbal communication skills to present performance challenges, tradeoffs, and architectural alternatives.
• Strong collaboration skills to partner with other teams.
Preferred:
• Experience designing and operating multi-agent pipelines in production, including handling non-deterministic failures, retry logic, and tool-call error recovery
• Shipped a product feature backed by a VLM (e.g., image captioning, document understanding) — including handling inference latency, cost-per-call tradeoffs, and degraded-mode fallbacks
• Shipped AI-powered features to real users — not just prototyped with agent frameworks. If your experience is primarily personal projects or hackathons, this role may not be the right fit yet.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
NVIDIA has been transforming computer graphics, PC gaming, accelerated computing, and machine learning for more than 25 years. They are hiring a Deep Learning Engineer with strong experience in generative AI and computer vision to convert research into real products and build workflows that diversify datasets. The role involves shipping machine learning workflows and defining evaluation criteria for production models.
Responsibilities:
• Convert research into real products (not just slide decks or notebooks)
• Help build workflows that diversify datasets and/or populate data
• Ship machine learning workflows/pipelines fast and iterate faster
• Leverage LLM/VLM and agents in the data generation pipeline
• Define evaluation criteria and run offline evals before any model or prompt change reaches production
Qualifications:
Required:
• Master's, or preferably a PhD degree in Computer Science or a related field (or equivalent experience)
• 5+ years of experience
• Solid mathematical and algorithmic foundation and proven expertise demonstrated through research publications, internships, or significant project experience.
• Strong background in computer vision and deep learning.
• Excellent programming skills in Python and C/C++.
• Excellent software engineering fundamentals.
• Ability to develop code in Unix/Linux environments.
• Excellent written, visual, and verbal communication skills to present performance challenges, tradeoffs, and architectural alternatives.
• Strong collaboration skills to partner with other teams.
Preferred:
• Experience designing and operating multi-agent pipelines in production, including handling non-deterministic failures, retry logic, and tool-call error recovery
• Shipped a product feature backed by a VLM (e.g., image captioning, document understanding) — including handling inference latency, cost-per-call tradeoffs, and degraded-mode fallbacks
• Shipped AI-powered features to real users — not just prototyped with agent frameworks. If your experience is primarily personal projects or hackathons, this role may not be the right fit yet.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
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