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Technology Engineer Jobs in Raleigh, NC (NOW HIRING)

Senior Developer Technology Engineer - AI

Durham, NC · Hybrid

$52.75 - $69.50/hr

... Technology Engineer, Artificial Intelligence! Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Is it rewarding to investigate, find, and ...

Primary Function The Technology Products Engineer II supports and maintains technology equipment for the heavy earthmoving and mining industries while ensuring customer support agreements are ...

Primary Function The Technology Products Engineer II supports and maintains technology equipment for the heavy earthmoving and mining industries while ensuring customer support agreements are ...

As an ADT Tech Engineer Manager, you will lead a dynamic team of 10 to 15 Tech engineers (TEs) who are a hybrid sales & technical workforce whose core responsibilities include: * Conducting in-home ...

As an ADT Tech Engineer Manager, you will lead a dynamic team of 10 to 15 Tech engineers (TEs) who are a hybrid sales & technical workforce whose core responsibilities include: * Conducting in-home ...

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Technology Engineer information

See Raleigh, NC salary details

$12

$29

$47

How much do technology engineer jobs pay per hour?

As of May 28, 2026, the average hourly pay for technology engineer in Raleigh, NC is $29.31, according to ZipRecruiter salary data. Most workers in this role earn between $22.50 and $34.28 per hour, depending on experience, location, and employer.

What Is a Technology Engineer?

A technology engineer is responsible for designing equipment that is intended to meet a client’s needs. As a technology engineer, you develop computer hardware and design software and other specialized equipment within a given industry or field. You also create technical documentation and provide training in the use of the products you design. In this role, you work with researchers, software developers, and technologists to realize your company’s goals. Where a technology engineer designs solutions, a technologist turns them into a physical product.

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

To thrive as a Technology Engineer, you need a solid background in engineering principles, computer science, and problem-solving, usually supported by a relevant bachelor's degree. Familiarity with programming languages, CAD software, and systems like Linux or cloud platforms, as well as certifications such as CompTIA or Cisco, is often required. Strong analytical thinking, collaboration, and effective communication distinguish outstanding professionals in this field. These skills enable Technology Engineers to design, implement, and maintain complex systems that drive innovation and operational efficiency.

What are the typical collaboration patterns for a Technology Engineer within cross-functional teams?

Technology Engineers often collaborate closely with software developers, product managers, and IT support staff to design, implement, and maintain technology solutions. This collaboration typically involves regular meetings to discuss project requirements, progress updates, and troubleshooting challenges. Engineers may also participate in code reviews, system testing, and deployment planning alongside colleagues from different departments. Effective communication and teamwork are essential, as Technology Engineers frequently act as a bridge between technical and non-technical stakeholders to ensure project goals are met.

What are Technology Engineers?

Technology Engineers are professionals who design, develop, implement, and maintain technological solutions for businesses and organizations. They work with both hardware and software systems, ensuring that technology infrastructure operates efficiently and meets the needs of users. Their responsibilities can include troubleshooting technical problems, optimizing system performance, and integrating new technologies. Technology Engineers often collaborate with other IT specialists and stakeholders to deliver effective solutions. They play a crucial role in keeping organizations competitive and up-to-date with the latest technological advancements.

What is the difference between Technology Engineer vs Network Engineer?

AspectTechnology EngineerNetwork Engineer
Required CertificationsCompTIA Network+, Cisco CCNA, Cisco CCNPCompTIA Network+, Cisco CCNA, Cisco CCNP
Work EnvironmentDesigning, developing, and implementing technology solutions across various systemsConfiguring, managing, and troubleshooting network infrastructure
Industry UsageIT, software development, hardware integrationTelecommunications, IT, enterprise networks

Technology Engineers focus on developing and integrating technology solutions, while Network Engineers specialize in managing and maintaining network infrastructure. Both roles require similar certifications and often work in overlapping industries, but their core responsibilities differ in scope and focus.

What are popular job titles related to Technology Engineer jobs in Raleigh, NC? For Technology Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Technology Engineer jobs in Raleigh, NC look for? The top searched job categories for Technology Engineer jobs in Raleigh, NC are:
Senior Developer Technology Engineer - AI

Senior Developer Technology Engineer - AI

Nvidia

Durham, NC • Hybrid

$52.75 - $69.50/hr

Full-time

Posted 8 days ago


Job description

We're currently seeking a Senior Developer Technology Engineer, Artificial Intelligence! Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Is it rewarding to investigate, find, and eliminate system bottlenecks to achieve the best possible performance of computer hardware? Could you be thrilled about an opportunity to partner with the Developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like NVIDIA? If so, the Developer Technology Team invites you to consider this role.

What you will be doing:

  • In this position, you will research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains.

  • Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure the best possible AI solutions on modern CPU and GPU architectures.

  • Publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the Developer community.

  • Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.

What we need to see:

  • A Masters degree in Computer Science, Computer Engineering, or related computationally focused science degree (or additional equivalent experience).

  • You have 8+ years of relevant work experience or research.

  • Programming fluency in C/C++ with a deep understanding of algorithms and software development.

  • A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc.

  • Hands on experience doing low-level performance optimizations.

  • In-depth expertise with CPU and GPU architecture fundamentals.

  • Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.

Ways to stand out from the crowd:

  • Expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc.

  • Excellent understanding of linear algebra.

What's DevTech? We are a global organization whose mission is to drive innovation we see in the market towards our products. As recognized specialists across many domains, our work makes valuable contributions in two important ways. Our solutions are at the cutting edge of technology, advancing NVIDIA's leadership in accelerated computing. Our discoveries generate findings that benefit the Developer Community and provides guidance to our engineering teams to help make our products better.NVIDIA's success in the advancement and availability of Artificial Intelligence has created incredible growth across the Company, and our Developer Technology Engineering team has been steadily growing to meet the demands for our services.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous computer scientist with a genuine passion for parallel computing? If so, we want to hear from you. Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

#LI-Hybrid

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 March 21, 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.

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