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Cpu Jobs in Raleigh, NC (NOW HIRING)

Senior Developer Technology Engineer - AI

Durham, NC · Hybrid

$52.75 - $69.50/hr

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 ...

Senior Developer Technology Engineer - AI

Durham, NC · Hybrid

$52.75 - $69.50/hr

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 ...

Unix admin

Cary, NC · On-site

$48 - $50/hr

Aid in UNIX change requests for the Bank, perform advance systems tunings, such as CPU, real-time threads, TCP/IP, network NIC card, memory, etc. to application specific requirements, and work ...

Rendering Engineer

Raleigh, NC · On-site

$136K - $168K/yr

... and CPU rendering performance, identifying bottlenecks and driving solutions that maintain high frame rates without sacrificing visual quality • Contribute to engine-level tooling and editor ...

Experience with AI hardware and software stack (e.g., CPU, GPU, network switch, ML platforms, libraries, runtimes). Ability to innovate and publish at top conferences. We are an Equal Opportunity ...

New

Ability to diagnose performance bottlenecks (bandwidth, I/O, memory, CPU) * Experience with web application administration (IIS, Nginx, Apache) * Proficiency in server OS administration (Windows ...

Ability to diagnose performance bottlenecks (bandwidth, I/O, memory, CPU) * Experience with web application administration (IIS, Nginx, Apache) * Proficiency in server OS administration (Windows ...

Ability to diagnose performance bottlenecks (bandwidth, I/O, memory, CPU) * Experience with web application administration (IIS, Nginx, Apache) * Proficiency in server OS administration (Windows ...

CPU: Intel i5/i7/i9 (8th Gen+) or AMD Ryzen 5/7/9 (2nd Gen+). * Internet: Wired connection required (Wi-Fi and Satellite not permitted); minimum 20 Mbps download and 5 Mbps upload. * OS: Windows 11 ...

Senior GPU Architect

Durham, NC · On-site

$125K - $170K/yr

MS in Computer Science, Electrical Engineering or Computer Engineering or equivalent experience. 8+ years of relevant industry experience in GPU or CPU architecture (or other equivalent experience)

Senior GPU Architect

Durham, NC · On-site

$125K - $170K/yr

MS in Computer Science, Electrical Engineering or Computer Engineering or equivalent experience. * 8+ years of relevant industry experience in GPU or CPU architecture (or other equivalent experience)

CPU: Intel i5/i7/i9 (8th Gen+) or AMD Ryzen 5/7/9 (2nd Gen+). * Internet: Wired connection required (Wi-Fi and Satellite not permitted); minimum 20 Mbps download and 5 Mbps upload. * OS: Windows 11 ...

Electronic Warfare Systems Architect

Raleigh, NC · On-site

$217K/yr

Hardware/Software Integration - Align algorithm development with hardware constraints (FPGA, GPU, CPU, embedded systems). - Define digital signal processing requirements and data flows across system ...

Showing results 21-40

Cpu information

See Raleigh, NC salary details

$38.9K

$66.8K

$127.3K

How much do cpu jobs pay per year?

As of Sep 10, 2026, the average yearly pay for cpu in Raleigh, NC is $66,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,200.00 and $84,600.00 per year, depending on experience, location, and employer.

What is a CPU?

A CPU, or Central Processing Unit, is the primary component of a computer that performs most of the processing inside a system. Often referred to as the 'brain' of the computer, it executes instructions from programs by performing basic arithmetic, logic, control, and input/output operations. CPUs are vital for running software applications and operating systems, making them essential for everything from simple tasks to complex computing processes. Modern CPUs are found in desktops, laptops, smartphones, and many other electronic devices.

What does a CPU engineer do?

A CPU job typically refers to a computational task assigned to a computer's central processing unit (CPU). These jobs can range from basic calculations to complex data processing tasks executed by software applications. CPU jobs are prioritized and scheduled by the operating system to ensure efficient performance. In high-performance computing or cloud environments, CPU jobs may involve parallel processing to optimize resource usage.

What are the key skills and qualifications needed to thrive as a CPU engineer?

To thrive as a CPU Engineer, you need a solid background in computer engineering, digital logic design, and microarchitecture, usually supported by a degree in electrical engineering or computer science. Familiarity with hardware description languages (such as VHDL or Verilog), simulation tools, and integrated circuit design software is essential. Strong problem-solving abilities, attention to detail, and effective teamwork are crucial soft skills. These competencies ensure efficient CPU design, innovation, and reliable performance in advanced computing systems.

What are some common challenges faced by CPU design engineers when collaborating with cross-functional teams?

CPU Design Engineers often work closely with hardware, software, and verification teams. A common challenge is ensuring effective communication, as each group may use different technical languages or have competing priorities. Aligning design specifications with manufacturing and validation constraints requires strong collaboration and adaptability. Engineers also need to balance optimizing for performance, power, and cost while accommodating feedback from multiple stakeholders throughout the development process.

What is the difference between Cpu vs Network Administrator?

AspectCpuNetwork Administrator
Required CredentialsCompTIA A+, Network+, or similar certificationsCompTIA Network+, Cisco CCNA, or similar certifications
Work EnvironmentData centers, server rooms, IT departmentsOffice settings, data centers, network operation centers
Industry UsageIT, technology, data managementIT, telecommunications, enterprise networks
Common Search/ComparisonCpu vs Network Administrator

While both Cpu and Network Administrator roles are essential in IT, Cpu typically refers to the central processing unit in computers, focusing on hardware and processing power. Network Administrators manage and maintain network infrastructure, ensuring connectivity and security. Understanding their differences helps in choosing the right career path or job focus within the IT industry.

What job categories do people searching Cpu jobs in Raleigh, NC look for?

The top searched job categories for Cpu jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Cpu jobs?

Cities near Raleigh, NC with the most Cpu job openings:

Infographic showing various Cpu job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% Internship, 92% Full Time, 2% Part Time, and 5% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $66,800 per year, or $32.1 per hour.

Senior Developer Technology Engineer - AI

Durham, NC • Hybrid

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

$52.75 - $69.50/hr

Full-time

Re-posted 23 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


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 August 9, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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