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Factory Jobs in Raleigh, NC (NOW HIRING)

At Closet Factory of Raleigh, we help you turn your natural talents into a rewarding, full-time career in sales and design. You'll help clients transform their homes through custom-designed ...

Battery Marketer

Raleigh, NC · On-site

$17.50/hr

Factory Motor Parts is so much more than an auto parts distributor! We are driven to have the best people on our team to provide the best service to our customers. We are searching for an energetic ...

Battery Marketer

Raleigh, NC · On-site

$17.50/hr

Factory Motor Parts is so much more than an auto parts distributor! We are driven to have the best people on our team to provide the best service to our customers. We are searching for an energetic ...

At The Cheesecake Factory, we know great things happen when passionate leaders gather around our table. Come join us! What we offer: * Comprehensive healthcare including medical, dental and vision

Battery Marketer

Raleigh, NC · On-site

$17.50/hr

Description Factory Motor Parts is so much more than an auto parts distributor! We are driven to have the best people on our team to provide the best service to our customers. We are searching for an ...

Cabinet Installer

Raleigh, NC · On-site

$20 - $26.25/hr

Custom Closet Installer Raleigh, NC | Full-Time | Monday-Friday About Us Closet Factory, a leader in custom closets and home organization since 1983, is locally owned and operated in Raleigh, NC. We ...

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Factory information

See Raleigh, NC salary details

$10

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How much do factory jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for factory in Raleigh, NC is $16.39, according to ZipRecruiter salary data. Most workers in this role earn between $14.95 and $17.50 per hour, depending on experience, location, and employer.

What is the difference between Factory vs Machine Operator?

AspectFactoryMachine Operator
Primary RoleOversees entire manufacturing processes and manages production linesOperates specific machinery within the factory
CredentialsTypically requires basic education; certifications depend on machineryOften requires technical training or certifications for specific equipment
Work EnvironmentFactory floor, involving supervision and coordinationFactory floor, focused on operating machinery
Industry UsageUsed broadly to describe manufacturing facilities and processesSpecific role within factories, focusing on machinery operation

While a factory refers to the entire manufacturing facility or process, a machine operator is a specific role within that environment responsible for operating machinery. Understanding this distinction helps in targeting the right job searches and career planning.

What are the key skills and qualifications needed to thrive as a Factory Worker, and why are they important?

To thrive as a Factory Worker, you need basic mechanical aptitude, physical stamina, and attention to detail, often supported by a high school diploma or equivalent. Familiarity with manufacturing machinery, safety protocols, and sometimes certifications like OSHA training are commonly required. Reliability, teamwork, and good communication skills help individuals excel in this role. These attributes are vital for maintaining efficient production, ensuring workplace safety, and contributing to overall operational success.

What jobs are there in a factory?

Factory jobs include roles such as assembly line workers, machine operators, quality control inspectors, maintenance technicians, and supervisors. These positions often require knowledge of manufacturing processes, safety protocols, and sometimes certifications or training in specific equipment. Factory workers typically work in a team environment and may need to operate tools or machinery efficiently.

What are the different types of factory jobs?

Factory jobs encompass a variety of roles including assembly line workers, machine operators, quality control inspectors, maintenance technicians, and production supervisors. These positions often require skills in operating specific machinery, adherence to safety protocols, and sometimes certifications such as OSHA training. The work environment is typically industrial, with shifts that may include nights and weekends depending on the facility's operations.

What are some common challenges faced by workers in a factory environment, and how can they be addressed?

Factory workers often encounter challenges such as repetitive tasks, meeting production targets under tight deadlines, and maintaining safety standards in a fast-paced environment. To address these, it's important to stay focused, follow established safety protocols, and communicate effectively with supervisors and team members. Many factories also offer training sessions and ergonomic equipment to help reduce physical strain and improve productivity, which can make the work more manageable and rewarding.

What jobs pay $700 a day?

In manufacturing or factory settings, high-paying roles such as skilled tradespeople, specialized technicians, or temporary contract workers can earn around $700 a day, especially with experience or certifications. These positions often require technical skills, safety training, and sometimes overtime or shift work to reach that income level.

What jobs pay 4000 a week without a degree?

Factory jobs that can pay around $4,000 a week without a degree typically involve skilled trades such as industrial welding, specialized machine operation, or maintenance work, often requiring certifications or extensive on-the-job training. High-paying roles in manufacturing or production may also be available for experienced workers, but these are less common and usually depend on overtime, shift differentials, or union agreements.

What Are Different Factory Jobs?

Factory jobs focus on different aspects of the manufacturing process. As a factory worker, you may perform your duties on a production line where you produce, assemble, or package products or parts. Shift managers oversee operations during a particular time of day, while supervisors or foremen manage a department or monitor the entire factory floor. You can work as a technician, a job in which your responsibilities involve maintaining factory equipment. Factories also employ managers, administrative staff, accountants, designers, engineers, and quality assurance professionals. You can find factory jobs in various industries, include automotive, fashion, food, electronics, household goods, and industrial products.

What are factory workers?

Factory workers are employees who perform various tasks in a manufacturing environment, such as assembling products, operating machinery, packaging goods, or performing quality checks. Their roles are essential for producing and preparing products for distribution. Factory workers often work on production lines and must follow strict safety and quality guidelines to ensure efficient and safe operations.
What are the most commonly searched types of Factory jobs in Raleigh, NC? The most popular types of Factory jobs in Raleigh, NC are:
What are popular job titles related to Factory jobs in Raleigh, NC? For Factory jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Factory jobs in Raleigh, NC look for? The top searched job categories for Factory jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Factory jobs? Cities near Raleigh, NC with the most Factory job openings:
Infographic showing various Factory job openings in Raleigh, NC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $34,093 per year, or $16.4 per hour.
Senior Solutions Architect - AI Factory Deployment

Senior Solutions Architect - AI Factory Deployment

Nvidia

Durham, NC

Full-time

Posted 8 hours ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 246 rated software companies


Job description

We are seeking an ambitious Senior Solutions Architect - AI Factory Deployment to join our NVIDIA Infrastructure Specialists team in Santa Clara! This role is uniquely positioned to develop, deploy, and validate AI factories end to end. You will focus on running and debugging AI/LLM workloads and benchmarks on Linux-based GPU clusters, using NCCL and collectives like AllReduce and AllToAll to improve performance and scalability.

As part of our world-class team, you will bring to bear observability and automation to improve benchmarks and validation. You will serve as the expert when workloads or benchmarks do not perform flawlessly. You will collaborate across NVIDIA to ensure AI factories are prepared for customers, validating hardware and software for modern AI deployments.

What You Will be Doing:

  • Set up, adjust, and verify AI factory environments across multi-GPU and multi-node Linux clusters.

  • Ensure configurations align with guidelines for NCCL, collectives, and distributed training frameworks.

  • Own the execution of key AI/LLM benchmarks, including setup, orchestration, result collection, and analysis.

  • Investigate and resolve issues when training jobs or benchmarks fail, hang, or underperform.

  • Build and improve observability for AI factories (metrics, logs, traces, dashboards) to understand workload behavior and system health.

  • Develop automation (Python, Shell) for running benchmarks, collecting results, and performing regression checks

  • Examine communication patterns and NCCL usage for AI/LLM workloads, concentrating on collectives such as AllReduce and AllToAll.

  • Recommend changes to job configuration, parallelism strategies, and cluster settings to improve throughput, latency, and scaling efficiency.

  • Work closely with hardware, software, networking, datacenter, and product teams to prepare AI factories for customer use.

  • Contribute to documentation, guidelines, and readiness collateral that support internal collaborators and customer-facing teams.

What We Need to See:

  • Bachelor's degree or equivalent experience in Computer Science, Mathematics, Engineering, Physics, or related field.

  • More than 6+ years of experience managing Linux-based systems in HPC, distributed systems, or extensive AI/ML settings.

  • Hands-on experience running AI/ML workloads on multi-GPU and/or multi-node clusters, with practical knowledge of NCCL.

  • Solid grasp of collective communication patterns, particularly AllReduce and AllToAll, and how they are applied in contemporary ML/LLM training.

  • Familiarity with LLM training and/or inference workflows using frameworks such as PyTorch or TensorFlow.

  • Proficiency with Python and Shell/Bash for scripting, automation, and tooling.

  • Experience with benchmarking (crafting, executing, and interpreting performance benchmarks).

  • Comfortable working with observability data (metrics, logs, dashboards) to troubleshoot and optimize complex distributed workloads.

  • Strong communication skills and the ability to work effectively with cross-functional teams.

Ways to Stand Out From the Crowd:

  • Experience with AI factory or large-scale AI infrastructure build, deployment, or operations.

  • Background in HPC performance engineering, SRE, or systems performance analysis for GPU-accelerated environments.

  • Familiarity with observability stacks (e.g., metrics/monitoring, logging, tracing systems) used for large distributed systems.

  • Experience building automation and CI-style pipelines for running and validating benchmarks at scale.

  • Demonstrated desire to use AI to solve practical problems, improve workflows, and guide data-driven decisions.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

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